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Navab, Nassir

Research Professor
Computer Science

Hackerman Hall 121
(410) 516-2004
nassir.navab@jhu.edu

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Nassir Navab of CS wins “10-Year Lasting Impact Award” at ISMAR

October 2, 2015

Nassir Navab, a professor in the Department of Computer Science, has won the “10 Years Lasting Impact Award” at the International Symposium on Mixed and Augmented Reality. He was honored for overall contributions to augmented reality, with a particular focus on medical augmented reality. ISMAR is a leading international academic conference in the field of Augmented Reality […]

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About

Education
  • Ph.D. 1993, French Institute for Research in Computer Science and Automation (INRIA)
  • Other 1993, University of Paris XI, France
Research Areas
  • COMPUTER vision
  • Computer assisted interventions
  • Medical augmented reality
  • Robotic imaging
Awards
  • 2015:  10 Years Lasting Impact Award

Publications

Journal Articles
  • Stauder R, Ostler D, Vogel T, Wilhelm D, Koller S, Kranzfelder M, Navab N (2020).  Surgical data processing for smart intraoperative assistance systems.  Innovative Surgical Sciences.  2(3).  145-152.
  • Zhou M, Yu Q, Huang K, Mahov S, Eslami A, Maier M, Lohmann CP, Navab N, Zapp D, Knoll A, Nasseri MA (2020).  Towards Robotic-Assisted Subretinal Injection: A Hybrid Parallel-Serial Robot System Design and Preliminary Evaluation.  IEEE Transactions on Industrial Electronics.  67(8).  6617-6628.
  • Esmaeili N, Illanes A, Boese A, Davaris N, Arens C, Navab N, Friebe M (2020).  Laryngeal lesion classification based on vascular patterns in contact endoscopy and narrow band imaging: Manual versus automatic approach.  Sensors (Switzerland).  20(14).  1-12.
  • Eslami M, Tabarestani S, Albarqouni S, Adeli E, Navab N, Adjouadi M (2020).  Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography.  IEEE Transactions on Medical Imaging.  39(7).  2553-2565.
  • Kalia M, Mathur P, Tsang K, Black P, Navab N, Salcudean S (2020).  Evaluation of a marker-less, intra-operative, augmented reality guidance system for robot-assisted laparoscopic radical prostatectomy.  International Journal of Computer Assisted Radiology and Surgery.  15(7).  1225-1233.
  • Birdal T, Busam B, Navab N, Ilic S, Sturm P (2020).  Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  42(6).  1333-1347.
  • Haiderbhai M, Ledesma S, Lee SC, Seibold M, Fürnstahl P, Navab N, Fallavollita P (2020).  pix2xray: converting RGB images into X-rays using generative adversarial networks.  International Journal of Computer Assisted Radiology and Surgery.  15(6).  973-980.
  • Held JPO, Yu K, Pyles C, Veerbeek JM, Bork F, Heining SM, Navab N, Luft AR (2020).  Augmented Reality-Based Rehabilitation of Gait Impairments: Case Report.  JMIR mHealth and uHealth.  8(5).  e17804.
  • Jiménez-Sánchez A, Kazi A, Albarqouni S, Kirchhoff C, Biberthaler P, Navab N, Kirchhoff S, Mateus D (2020).  Precise proximal femur fracture classification for interactive training and surgical planning.  International Journal of Computer Assisted Radiology and Surgery.  15(5).  847-857.
  • Naik H, Bastien R, Navab N, Couzin ID (2020).  Animals in Virtual Environments.  IEEE Transactions on Visualization and Computer Graphics.  26(5).  2073-2083.
  • Ostler D, Seibold M, Fuchtmann J, Samm N, Feussner H, Wilhelm D, Navab N (2020).  Acoustic signal analysis of instrument–tissue interaction for minimally invasive interventions.  International Journal of Computer Assisted Radiology and Surgery.  15(5).  771-779.
  • Grimm M, Roodaki H, Eslami A, Navab N (2020).  Automatic intraoperative optical coherence tomography positioning.  International Journal of Computer Assisted Radiology and Surgery.  15(5).  781-789.
  • Kamranian Z, Naghsh Nilchi AR, Sadeghian H, Tombari F, Navab N (2020).  Joint motion boundary detection and CNN-based feature visualization for video object segmentation.  Neural Computing and Applications.  32(8).  4073-4091.
  • Baur C, Wiestler B, Albarqouni S, Navab N (2020).  Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri.  Proceedings - International Symposium on Biomedical Imaging.  2020-April.  1905-1909.
  • Jiang Z, Grimm M, Zhou M, Esteban J, Simson W, Zahnd G, Navab N (2020).  Automatic Normal Positioning of Robotic Ultrasound Probe Based only on Confidence Map Optimization and Force Measurement.  IEEE Robotics and Automation Letters.  5(2).  1342-1349.
  • Martin-Gomez A, Eck U, Fotouhi J, Navab N (2020).  Looking Also from Another Perspective: Exploring the Benefits of Alternative Views for Alignment Tasks.  Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020.  811-812.
  • Jud L, Fotouhi J, Andronic O, Aichmair A, Osgood G, Navab N, Farshad M (2020).  Applicability of augmented reality in orthopedic surgery - A systematic review.  BMC Musculoskeletal Disorders.  21(1).
  • Nitkunanantharajah S, Zahnd G, Olivo M, Navab N, Mohajerani P, Ntziachristos V (2020).  Skin Surface Detection in 3D Optoacoustic Mesoscopy Based on Dynamic Programming.  IEEE Transactions on Medical Imaging.  39(2).  458-467.
  • Stefan P, Pfandler M, Lazarovici M, Weigl M, Navab N, Euler E, Fürmetz J, Weidert S (2020).  Three-dimensional-Printed Computed Tomography-Based Bone Models for Spine Surgery Simulation.  Simulation in Healthcare.  15(1).  61-66.
  • Ahmadi SA, Bötzel K, Levin J, Maiostre J, Klein T, Wein W, Rozanski V, Dietrich O, Ertl-Wagner B, Navab N, Plate A (2020).  Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI.  NeuroImage: Clinical.  26.
  • Shapira N, Fokuhl J, Schultheiß M, Beck S, Kopp FK, Pfeiffer D, Dangelmaier J, Pahn G, Sauter AP, Renger B, Fingerle AA, Maidment ADA, Rummeny EJ, Albarqouni S, Navab N, Noël PB (2020).  Benefit of dual energy CT for lesion localization and classification with convolutional neural networks.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  11312.
  • Hosseinian S, Arefi H, Navab N (2020).  Toward an end-to-end calibration for mobile C-arm in combination with a depth sensor for surgical augmented reality applications.  Sensors (Switzerland).  20(1).
  • Lee SC, Seibold M, Fürnstahl P, Farshad M, Navab N (2020).  Pivot calibration concept for sensor attached mobile c-arms.  Proceedings of SPIE - The International Society for Optical Engineering.  11315.
  • Guha Roy A, Siddiqui S, Pölsterl S, Navab N, Wachinger C (2020).  ‘Squeeze & excite’ guided few-shot segmentation of volumetric images.  Medical Image Analysis.  59.
  • Shapira N, Fokuhl J, Schultheiß M, Beck S, Kopp FK, Pfeiffer D, Dangelmaier J, Pahn G, Sauter AP, Renger B, Fingerle AA, Rummeny EJ, Albarqouni S, Navab N, Noël PB (2020).  Liver lesion localisation and classification with convolutional neural networks: A comparison between conventional and spectral computed tomography.  Biomedical Physics and Engineering Express.  6(1).
  • Ahmadi SA, Vivar G, Navab N, Möhwald K, Maier A, Hadzhikolev H, Brandt T, Grill E, Dieterich M, Jahn K, Zwergal A (2020).  Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders.  Journal of Neurology.
  • Van Oosterom MN, Van Der Poel HG, Van Leeuwen FWB, Meershoek P, Welling MM, Pinto F, Matthies P, Simon H, Wendler T, Navab N, Van De Velde CJH (2020).  Extending the Hybrid Surgical Guidance Concept with Freehand Fluorescence Tomography.  IEEE Transactions on Medical Imaging.  39(1).  226-235.
  • Maier-Hein L, Gockel I, Speidel S, Wendler T, Teber D, März K, Tizabi M, Nickel F, Navab N, Müller-Stich B (2020).  Intraoperative imaging and visualization.  Onkologe.  26(1).  31-43.
  • Rizi FY, Au J, Yli-Ollila H, Golemati S, Makunaite M, Orkisz M, Navab N, MacDonald M, Laitinen TM, Behnam H, Gao Z, Gastounioti A, Jurkonis R, Vray D, Laitinen T, Sérusclat A, Nikita KS, Zahnd G (2020).  Carotid Wall Longitudinal Motion in Ultrasound Imaging: An Expert Consensus Review.  Ultrasound in Medicine and Biology.
  • Vercauteren T, Unberath M, Padoy N, Navab N (2020).  CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions.  Proceedings of the IEEE.  108(1).  198-214.
  • Spier N, Nekolla S, Rupprecht C, Mustafa M, Navab N, Baust M (2019).  Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks.  Scientific Reports.  9(1).
  • Azizi Koutenaei B, Fotouhi J, Alambeigi F, Wilson E, Guler O, Oetgen M, Cleary K, Navab N (2019).  Radiation-free methods for navigated screw placement in slipped capital femoral epiphysis surgery.  International Journal of Computer Assisted Radiology and Surgery.  14(12).  2199-2210.
  • Lotfy M, Shubair RM, Navab N, Albarqouni S (2019).  Investigation of Focal Loss in Deep Learning Models for Femur Fractures Classification.  2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019.
  • Bork F, Stratmann L, Enssle S, Eck U, Navab N, Waschke J, Kugelmann D (2019).  The Benefits of an Augmented Reality Magic Mirror System for Integrated Radiology Teaching in Gross Anatomy.  Anatomical Sciences Education.  12(6).  585-598.
  • Barmaki R, Yu K, Pearlman R, Shingles R, Bork F, Osgood GM, Navab N (2019).  Enhancement of Anatomical Education Using Augmented Reality: An Empirical Study of Body Painting.  Anatomical Sciences Education.  12(6).  599-609.
  • Herb M, Weiherer T, Navab N, Tombari F (2019).  Crowd-sourced Semantic Edge Mapping for Autonomous Vehicles.  IEEE International Conference on Intelligent Robots and Systems.  7047-7053.
  • Langsch F, Virga S, Esteban J, Gobl R, Navab N (2019).  Robotic Ultrasound for Catheter Navigation in Endovascular Procedures.  IEEE International Conference on Intelligent Robots and Systems.  5404-5410.
  • Hosseinian S, Arefi H, Navab N (2019).  C-arm pose estimation and navigation in surgeries for augmented reality application.  International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.  42(4/W18).  497-505.
  • Bork F, Lehner A, Kugelmann D, Eck U, Waschke J, Navab N (2019).  VesARlius: An augmented reality system for large-group co-located anatomy learning.  Adjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019.  122-123.
  • Wald J, Avetisyan A, Navab N, Tombari F, Niessner M (2019).  RIO: 3D object instance re-localization in changing indoor environments.  Proceedings of the IEEE International Conference on Computer Vision.  2019-October.  7657-7666.
  • Dhamo H, Navab N, Tombari F (2019).  Object-driven multi-layer scene decomposition from a single image.  Proceedings of the IEEE International Conference on Computer Vision.  2019-October.  5368-5377.
  • Gao Y, Wang Y, Falco P, Navab N, Tombari F (2019).  Variational Object-Aware 3-D Hand Pose from a Single RGB Image.  IEEE Robotics and Automation Letters.  4(4).  4239-4246.
  • Wang Y, Tan DJ, Navab N, Tombari F (2019).  ForkNet: Multi-branch volumetric semantic completion from a single depth image.  Proceedings of the IEEE International Conference on Computer Vision.  2019-October.  8607-8616.
  • Prado E, Pavlov I, Navab N, Zahnd G (2019).  Deep-Learning High-Dynamic-Range Ultrasound.  IEEE International Ultrasonics Symposium, IUS.  2019-October.  479-482.
  • Esposito M, Hennersperger C, Gobl R, Demaret L, Storath M, Navab N, Baust M, Weinmann A (2019).  Total Variation Regularization of Pose Signals with an Application to 3D Freehand Ultrasound.  IEEE Transactions on Medical Imaging.  38(10).  2245-2258.
  • Laina I, Rupprecht C, Navab N (2019).  Towards unsupervised image captioning with shared multimodal embeddings.  Proceedings of the IEEE International Conference on Computer Vision.  2019-October.  7413-7423.
  • Pavlov I, Prado E, Navab N, Zahnd G (2019).  Towards in-vivo ultrasound-histology: Plane-waves and generative adversarial networks for pixel-wise speed of sound reconstruction.  IEEE International Ultrasonics Symposium, IUS.  2019-October.  1913-1916.
  • Postels J, Ferroni F, Coskun H, Navab N, Tombari F (2019).  Sampling-free epistemic uncertainty estimation using approximated variance propagation.  Proceedings of the IEEE International Conference on Computer Vision.  2019-October.  2931-2940.
  • Bork F, Eck U, Navab N (2019).  Birds vs. Fish: Visualizing out-of-view objects in augmented reality using 3d minimaps.  Adjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019.  285-286.
  • Bui M, Baur C, Navab N, Ilic S, Albarqouni S (2019).  Adversarial networks for camera pose regression and refinement.  Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019.  3778-3787.
  • Manhardt F, Arroyo DM, Rupprecht C, Busam B, Birdal T, Navab N, Tombari F (2019).  Explaining the ambiguity of object detection and 6D pose from visual data.  Proceedings of the IEEE International Conference on Computer Vision.  2019-October.  6840-6849.
  • Bier B, Goldmann F, Zaech JN, Fotouhi J, Hegeman R, Grupp R, Armand M, Osgood G, Navab N, Maier A, Unberath M (2019).  Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views.  International Journal of Computer Assisted Radiology and Surgery.  14(9).  1463-1473.
  • Fotouhi J, Unberath M, Song T, Hajek J, Lee SC, Bier B, Maier A, Osgood G, Armand M, Navab N (2019).  Co-localized augmented human and X-ray observers in collaborative surgical ecosystem.  International Journal of Computer Assisted Radiology and Surgery.  14(9).  1553-1563.
  • Preuhs A, Maier A, Manhart M, Kowarschik M, Hoppe E, Fotouhi J, Navab N, Unberath M (2019).  Symmetry prior for epipolar consistency.  International Journal of Computer Assisted Radiology and Surgery.  14(9).  1541-1551.
  • Unberath M, Zaech JN, Gao C, Bier B, Goldmann F, Lee SC, Fotouhi J, Taylor R, Armand M, Navab N (2019).  Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.  International Journal of Computer Assisted Radiology and Surgery.  14(9).  1517-1528.
  • Weidert S, Wang L, Landes J, Sandner P, Suero EM, Navab N, Kammerlander C, Euler E, von Der Heide A (2019).  Video-augmented fluoroscopy for distal interlocking of intramedullary nails decreased radiation exposure and surgical time in a bovine cadaveric setting.  International Journal of Medical Robotics and Computer Assisted Surgery.  15(4).
  • Roy AG, Conjeti S, Navab N, Wachinger C (2019).  Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.  NeuroImage.  195.  11-22.
  • Dhamo H, Tateno K, Laina I, Navab N, Tombari F (2019).  Peeking behind objects: Layered depth prediction from a single image.  Pattern Recognition Letters.  125.  333-340.
  • Hariharan SG, Kaethner C, Strobel N, Kowarschik M, DiNitto J, Albarqouni S, Fahrig R, Navab N (2019).  Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system.  International Journal of Computer Assisted Radiology and Surgery.  14(7).  1117-1126.
  • Zhao Y, Wu P, Wang J, Li H, Navab N, Yakushev I, Weber W, Schwaiger M, Huang SC, Cumming P, Rominger A, Zuo C, Shi K (2019).  A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images.  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS.  3531-3534.
  • Kalia M, Navab N, Salcudean T (2019).  A real-time interactive augmented reality depth estimation technique for surgical robotics.  Proceedings - IEEE International Conference on Robotics and Automation.  2019-May.  8291-8297.
  • Zhou M, Wang X, Weiss J, Eslami A, Huang K, Maier M, Lohmann CP, Navab N, Knoll A, Nasseri MA (2019).  Needle localization for robot-assisted subretinal injection based on deep learning.  Proceedings - IEEE International Conference on Robotics and Automation.  2019-May.  8727-8732.
  • Scheel O, Nagaraja NS, Schwarz L, Navab N, Tombari F (2019).  Attention-based lane change prediction.  Proceedings - IEEE International Conference on Robotics and Automation.  2019-May.  8655-8661.
  • Shaban MT, Baur C, Navab N, Albarqouni S (2019).  Staingan: Stain style transfer for digital histological images.  Proceedings - International Symposium on Biomedical Imaging.  2019-April.  953-956.
  • Kazi A, Krishna SA, Shekarforoush S, Kortuem K, Albarqouni S, Navab N (2019).  Self-attention equipped graph convolutions for disease prediction.  Proceedings - International Symposium on Biomedical Imaging.  2019-April.  1896-1899.
  • Koch A, Pfandler M, Stefan P, Wucherer P, Lazarovici M, Navab N, Stumpf U, Schmidmaier R, Glaser J, Weigl M (2019).  Say, What Is on Your Mind? Surgeons’ Evaluations of Realism and Usability of a Virtual Reality Vertebroplasty Simulator.  Surgical Innovation.  26(2).  234-243.
  • Hariharan SG, Strobel N, Kaethner C, Kowarschik M, Fahrig R, Navab N (2019).  An analytical approach for the simulation of realistic low-dose fluoroscopic images.  International Journal of Computer Assisted Radiology and Surgery.  14(4).  601-610.
  • Casas L, Navab N, Demirci S (2019).  Patient 3D body pose estimation from pressure imaging.  International Journal of Computer Assisted Radiology and Surgery.  14(3).  517-524.
  • Kalia M, Navab N, Fels S, Salcudean T (2019).  A method to introduce evaluate motion parallax with stereo for medical AR/MR.  26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings.  1755-1759.
  • Martin-Gomez A, Eck U, Navab N (2019).  Visualization techniques for precise alignment in VR: A comparative study.  26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings.  735-741.
  • Guha Roy A, Conjeti S, Navab N, Wachinger C (2019).  QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.  NeuroImage.  186.  713-727.
  • Roy AG, Navab N, Wachinger C (2019).  Recalibrating Fully Convolutional Networks With Spatial and Channel 'Squeeze and Excitation' Blocks.  IEEE Transactions on Medical Imaging.  38(2).  540-549.
  • Feussner H, Wilhelm D, Navab N, Knoll A, Lüth T (2019).  Surgineering: a new type of collaboration among surgeons and engineers.  International Journal of Computer Assisted Radiology and Surgery.  14(2).  187-190.
  • Bui M, Bourier F, Baur C, Milletari F, Navab N, Demirci S (2019).  Robust navigation support in lowest dose image setting.  International Journal of Computer Assisted Radiology and Surgery.  14(2).  291-300.
  • Melero M, Hou A, Cheng E, Tayade A, Lee SC, Unberath M, Navab N, Cutolo F (2019).  Upbeat: Augmented Reality-Guided Dancing for Prosthetic Rehabilitation of Upper Limb Amputees.  Journal of Healthcare Engineering.  2019.
  • Fotouhi J, Unberath M, Song T, Gu W, Johnson A, Osgood G, Armand M, Navab N (2019).  Interactive Flying Frustums (IFFs): spatially aware surgical data visualization.  International Journal of Computer Assisted Radiology and Surgery.
  • Mishra M, Schmitt S, Zischka H, Strasser M, Navab N, Marr C, Peng T (2019).  Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11731 LNCS.  289-298.
  • Bui M, Albarqouni S, Ilic S, Navab N (2019).  Scene coordinate and correspondence learning for image-based localization.  British Machine Vision Conference 2018, BMVC 2018.
  • Weiss J, Eck U, Nasseri MA, Maier M, Eslami A, Navab N (2019).  Layer-aware iOCT volume rendering for retinal surgery.  Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2019.  123-127.
  • Lahiani A, Gildenblat J, Klaman I, Albarqouni S, Navab N, Klaiman E (2019).  Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11435 LNCS.  47-55.
  • Oda M, Roth HR, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Navab N, Mori K (2019).  Colonoscope tracking method based on shape estimation network.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  10951.
  • Lahiani A, Gildenblat J, Klaman I, Navab N, Klaiman E (2019).  Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks.  IET Image Processing.  13(7).  1066-1073.
  • Ghazaei G, Laina I, Rupprecht C, Tombari F, Navab N, Nazarpour K (2019).  Dealing with Ambiguity in Robotic Grasping via Multiple Predictions.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11364 LNCS.  38-55.
  • Kayser M, Soberanis-Mukul RD, Albarqouni S, Navab N (2019).  Focal loss for artefact detection in medical endoscopy.  CEUR Workshop Proceedings.  2366.
  • Zhou M, Hao X, Eslami A, Huang K, Cai C, Lohmann CP, Navab N, Knoll A, Nasseri MA (2019).  6DOF Needle Pose Estimation for Robot-Assisted Vitreoretinal Surgery.  IEEE Access.  7.  63113-63122.
  • Paschali M, Simson W, Roy AG, Göbl R, Wachinger C, Navab N (2019).  Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11492 LNCS.  517-529.
  • Kazi A, Shekarforoush S, Arvind Krishna S, Burwinkel H, Vivar G, Kortüm K, Ahmadi SA, Albarqouni S, Navab N (2019).  InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11492 LNCS.  73-85.
  • Rackerseder J, Baust M, Göbl R, Navab N, Hennersperger C (2019).  Landmark-Free Initialization of Multi-Modal Image Registration.  Informatik aktuell.  308.
  • Paschali M, Conjeti S, Navarro F, Navab N (2019).  Adversarial Examples as Benchmark for Medical Imaging Neural Networks.  Informatik aktuell.  14.
  • Simson W, Paschali M, Zahnd G, Navab N (2019).  Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer.  Informatik aktuell.  257.
  • Navarro F, Conjeti S, Tombari F, Navab N (2019).  Leveraging Web Data for Skin Lesion Classification.  Informatik aktuell.  199.
  • Preuhs A, Maier A, Manhart M, Fotouhi J, Navab N, Unberath M (2019).  Double Your Views: Exploiting Symmetry in Transmission Imaging.  Informatik aktuell.  171.
  • Hariharan SG, Kaethner C, Strobel N, Kowarschik M, DiNitto J, Fahrig R, Navab N (2019).  Model-Based Motion Artifact Correction in Digital Subtraction Angiography Using Optical-Flow.  Informatik aktuell.  146-151.
  • Baur C, Wiestler B, Albarqouni S, Navab N (2019).  Deep autoencoding models for unsupervised anomaly segmentation in brain MR images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11383 LNCS.  161-169.
  • Rickmann AM, Roy AG, Sarasua I, Navab N, Wachinger C (2019).  ‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11765 LNCS.  39-47.
  • Paschali M, Gasperini S, Roy AG, Fang MYS, Navab N (2019).  3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11766 LNCS.  438-446.
  • Esteban J, Grimm M, Unberath M, Zahnd G, Navab N (2019).  Towards Fully Automatic X-Ray to CT Registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11769 LNCS.  631-639.
  • Hariharan SG, Kaethner C, Strobel N, Kowarschik M, Albarqouni S, Fahrig R, Navab N (2019).  Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11769 LNCS.  549-557.
  • Kazi A, Shekarforoush S, Arvind Krishna S, Burwinkel H, Vivar G, Wiestler B, Kortüm K, Ahmadi SA, Albarqouni S, Navab N (2019).  Graph convolution based attention model for personalized disease prediction.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11767 LNCS.  122-130.
  • Sadafi A, Koehler N, Makhro A, Bogdanova A, Navab N, Marr C, Peng T (2019).  Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11764 LNCS.  685-693.
  • Peng T, Boxberg M, Weichert W, Navab N, Marr C (2019).  Multi-task learning of a deep K-nearest neighbour network for histopathological image classification and retrieval.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11764 LNCS.  676-684.
  • Sarhan MH, Albarqouni S, Yigitsoy M, Navab N, Eslami A (2019).  Multi-scale microaneurysms segmentation using embedding triplet loss.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11764 LNCS.  174-182.
  • Fink L, Lee SC, Wu JY, Liu X, Song T, Velikova Y, Stamminger M, Navab N, Unberath M (2019).  LumiPath – Towards Real-Time Physically-Based Rendering on Embedded Devices.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11768 LNCS.  673-681.
  • Burwinkel H, Kazi A, Vivar G, Albarqouni S, Zahnd G, Navab N, Ahmadi SA (2019).  Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11769 LNCS.  640-648.
  • Lahiani A, Navab N, Albarqouni S, Klaiman E (2019).  Perceptual embedding consistency for seamless reconstruction of tilewise style transfer.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11764 LNCS.  568-576.
  • Khakzar A, Albarqouni S, Navab N (2019).  Learning Interpretable Features via Adversarially Robust Optimization.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11769 LNCS.  793-800.
  • Jiménez-Sánchez A, Mateus D, Kirchhoff S, Kirchhoff C, Biberthaler P, Navab N, González Ballester MA, Piella G (2019).  Medical-based Deep Curriculum Learning for Improved Fracture Classification.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11769 LNCS.  694-702.
  • Sarhan MH, Eslami A, Navab N, Albarqouni S (2019).  Learning interpretable disentangled representations using adversarial VAEs.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11795 LNCS.  37-44.
  • Zaech JN, Gao C, Bier B, Taylor R, Maier A, Navab N, Unberath M (2019).  Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11768 LNCS.  11-19.
  • Pakhomov D, Premachandran V, Allan M, Azizian M, Navab N (2019).  Deep Residual Learning for Instrument Segmentation in Robotic Surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11861 LNCS.  566-573.
  • Kalia M, Mathur P, Navab N, Salcudean SE (2019).  Marker-less real-time intra-operative camera and hand-eye calibration procedure for surgical augmented reality.  Healthcare Technology Letters.  6(6).  255-260.
  • Bui M, Albarqouni S, Ilic S, Navab N (2019).  Scene coordinate and correspondence learning for image-based localization.  British Machine Vision Conference 2018, BMVC 2018.
  • Simson W, Paschali M, Navab N, Zahnd G (2018).  Deep Learning Beamforming for Sub-Sampled Ultrasound Data.  IEEE International Ultrasonics Symposium, IUS.  2018-October.
  • Zahnd G, Skilton M, Navab N (2018).  Automatic Quantification of Extra-Medial Thickness in Carotid Ultrasound.  IEEE International Ultrasonics Symposium, IUS.  2018-October.
  • Rupprecht C, Laina I, Navab N, Hager GD, Tombari F (2018).  Guide Me: Interacting with Deep Networks.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  8551-8561.
  • Birdal T, Busam B, Navab N, Ilic S, Sturm P (2018).  A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  3530-3540.
  • Kamranian Z, Naghsh Nilchi AR, Monadjemi A, Navab N (2018).  Iterative algorithm for interactive co-segmentation using semantic information propagation.  Applied Intelligence.  48(12).  5019-5036.
  • Illanes A, Boese A, Maldonado I, Pashazadeh A, Schaufler A, Navab N, Friebe M (2018).  Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing.  Scientific Reports.  8(1).
  • Karimi Ghodoosi E, D'Alessandria C, Li Y, Bartel A, Köhner M, Höllriegl V, Navab N, Eiber M, Li WB, Frey E, Ziegler S (2018).  The effect of attenuation map, scatter energy window width, and volume of interest on the calibration factor calculation in quantitative 177Lu SPECT imaging: Simulation and phantom study.  Physica Medica.  56.  74-80.
  • Deib G, Johnson A, Unberath M, Yu K, Andress S, Qian L, Osgood G, Navab N, Hui F, Gailloud P (2018).  Image guided percutaneous spine procedures using an optical see-through head mounted display: Proof of concept and rationale.  Journal of NeuroInterventional Surgery.  10(12).  1187-1191.
  • Qian L, Plopski A, Navab N, Kazanzides P (2018).  Restoring the awareness in the occluded visual field for optical see-through head-mounted displays.  IEEE Transactions on Visualization and Computer Graphics.  24(11).  2936-2946.
  • Bork F, Schnelzer C, Eck U, Navab N (2018).  Towards efficient visual guidance in limited field-of-view head-mounted displays.  IEEE Transactions on Visualization and Computer Graphics.  24(11).  2983-2992.
  • Azimi E, Winkler A, Tucker E, Qian L, Doswell J, Navab N, Kazanzides P (2018).  Can Mixed-Reality Improve the Training of Medical Procedures?.  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS.  2018-July.  4065-4068.
  • Wang Y, Tan DJ, Navab N, Tombari F (2018).  Adversarial semantic scene completion from a single depth image.  Proceedings - 2018 International Conference on 3D Vision, 3DV 2018.  426-434.
  • Zhou M, Hamad M, Weiss J, Eslami A, Huang K, Maier M, Lohmann CP, Navab N, Knoll A, Nasseri MA (2018).  Towards Robotic Eye Surgery: Marker-Free, Online Hand-Eye Calibration Using Optical Coherence Tomography Images.  IEEE Robotics and Automation Letters.  3(4).  3944-3951.
  • Wald J, Tateno K, Sturm J, Navab N, Tombari F (2018).  Real-time fully incremental scene understanding on mobile platforms.  IEEE Robotics and Automation Letters.  3(4).  3402-3409.
  • Scheel O, Schwarz L, Navab N, Tombari F (2018).  Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction.  Proceedings - IEEE International Conference on Robotics and Automation.  2082-2088.
  • Bui M, Zakharov S, Albarqouni S, Ilic S, Navab N (2018).  When Regression Meets Manifold Learning for Object Recognition and Pose Estimation.  Proceedings - IEEE International Conference on Robotics and Automation.  6140-6146.
  • Denasi A, Khan F, Boskma KJ, Kaya M, Hennersperger C, Gobl R, Tirindelli M, Navab N, Misra S (2018).  An Observer-Based Fusion Method Using Multicore Optical Shape Sensors and Ultrasound Images for Magnetically-Actuated Catheters.  Proceedings - IEEE International Conference on Robotics and Automation.  50-57.
  • Stefan P, Habert S, Winkler A, Lazarovici M, Fürmetz J, Eck U, Navab N (2018).  A radiation-free mixed-reality training environment and assessment concept for C-arm-based surgery.  International Journal of Computer Assisted Radiology and Surgery.  13(9).  1335-1344.
  • Matinfar S, Nasseri MA, Eck U, Kowalsky M, Roodaki H, Navab N, Lohmann CP, Maier M, Navab N (2018).  Surgical soundtracks: automatic acoustic augmentation of surgical procedures.  International Journal of Computer Assisted Radiology and Surgery.  13(9).  1345-1355.
  • Azimi E, Winkler A, Tucker E, Qian L, Sharma M, Doswell J, Navab N, Kazanzides P (2018).  Evaluation of Optical See-Through Head-Mounted Displays in Training for Critical Care and Trauma.  25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings.  511-512.
  • Huang CHP, Allain B, Boyer E, Franco JS, Tombari F, Navab N, Ilic S (2018).  Tracking-by-Detection of 3D Human Shapes: From Surfaces to Volumes.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  40(8).  1994-2008.
  • Kamranian Z, Tombari F, Naghsh Nilchi AR, Monadjemi A, Navab N (2018).  Co-segmentation via visualization.  Journal of Visual Communication and Image Representation.  55.  201-214.
  • Westenfelder KM, Lentes B, Rackerseder J, Navab N, Gschwend JE, Eiber M, Maurer T (2018).  Gallium-68 HBED-CC-PSMA Positron Emission Tomography/Magnetic Resonance Imaging for Prostate Fusion Biopsy.  Clinical Genitourinary Cancer.  16(4).  245-247.
  • Burton J, Frank D, Saleh M, Navab N, Bear HL (2018).  The speaker-independent lipreading play-off; A survey of lipreading machines.  IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018.  125-130.
  • Göbl R, Navab N, Hennersperger C (2018).  SUPRA: open-source software-defined ultrasound processing for real-time applications: A 2D and 3D pipeline from beamforming to B-mode.  International Journal of Computer Assisted Radiology and Surgery.  13(6).  759-767.
  • Fotouhi J, Fuerst B, Unberath M, Reichenstein S, Lee SC, Johnson AA, Osgood GM, Armand M, Navab N (2018).  Automatic intraoperative stitching of nonoverlapping cone-beam CT acquisitions.  Medical Physics.  45(6).  2463-2475.
  • Hariharan SG, Strobel N, Kaethner C, Kowarschik M, Demirci S, Albarqouni S, Fahrig R, Navab N (2018).  A photon recycling approach to the denoising of ultra-low dose X-ray sequences.  International Journal of Computer Assisted Radiology and Surgery.  13(6).  847-854.
  • Esteban J, Simson W, Requena Witzig S, Rienmüller A, Virga S, Frisch B, Zettinig O, Sakara D, Ryang YM, Navab N, Hennersperger C (2018).  Robotic ultrasound-guided facet joint insertion.  International Journal of Computer Assisted Radiology and Surgery.  13(6).  895-904.
  • Weiss J, Rieke N, Nasseri MA, Maier M, Eslami A, Navab N (2018).  Fast 5DOF needle tracking in iOCT.  International Journal of Computer Assisted Radiology and Surgery.  13(6).  787-796.
  • Slavcheva M, Kehl W, Navab N, Ilic S (2018).  SDF-2-SDF Registration for Real-Time 3D Reconstruction from RGB-D Data.  International Journal of Computer Vision.  126(6).  615-636.
  • Kumar S, Conjeti S, Roy AG, Wachinger C, Navab N (2018).  InfiNet: Fully convolutional networks for infant brain MRI segmentation.  Proceedings - International Symposium on Biomedical Imaging.  2018-April.  145-148.
  • Achilles F, Tombari F, Belagiannis V, Loesch AM, Noachtar S, Navab N (2018).  Convolutional neural networks for real-time epileptic seizure detection.  Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization.  6(3).  264-269.
  • Nitkunanantharajah S, Hennersperger C, Dean-Ben XL, Razansky D, Navab N (2018).  Trackerless panoramic optoacoustic imaging: a first feasibility evaluation.  International Journal of Computer Assisted Radiology and Surgery.  13(5).  703-711.
  • Virga S, Göbl R, Baust M, Navab N, Hennersperger C (2018).  Use the force: deformation correction in robotic 3D ultrasound.  International Journal of Computer Assisted Radiology and Surgery.  13(5).  619-627.
  • Ostler D, Marahrens N, Kohn N, Koller S, Stauder R, Navab N (2018).  Oncological surgery 4.0.  Onkologe.  24(5).  400-405.
  • Andress S, Johnson A, Unberath M, Winkler AF, Yu K, Fotouhi J, Weidert S, Osgood G, Navab N (2018).  On-the-fly augmented reality for orthopedic surgery using a multimodal fiducial.  Journal of Medical Imaging.  5(2).
  • van Oosterom MN, Meershoek P, KleinJan GH, Hendricksen K, Navab N, van de Velde CJH, van der Poel HG, van Leeuwen FWB (2018).  Navigation of Fluorescence Cameras during Soft Tissue Surgery—Is it Possible to Use a Single Navigation Setup for Various Open and Laparoscopic Urological Surgery Applications?.  Journal of Urology.  199(4).  1061-1068.
  • Fotouhi J, Alexander CP, Unberath M, Taylor G, Lee SC, Fuerst B, Johnson A, Osgood G, Taylor RH, Khanuja H, Armand M, Navab N (2018).  Plan in 2-D, execute in 3-D: An augmented reality solution for cup placement in total hip arthroplasty.  Journal of Medical Imaging.  5(2).
  • Stefan P, Pfandler M, Wucherer P, Habert S, Fürmetz J, Weidert S, Euler E, Eck U, Lazarovici M, Weigl M, Navab N (2018).  Team training and assessment in mixed reality-based simulated operating room: Current state of research in the field of simulation in spine surgery exemplified by the ATMEOS project.  Unfallchirurg.  121(4).  271-277.
  • Befrui N, Fischer M, Fuerst B, Lee SC, Fotouhi J, Weidert S, Johnson A, Euler E, Osgood G, Navab N, Böcker W (2018).  3D augmented reality visualization for navigated osteosynthesis of pelvic fractures.  Unfallchirurg.  121(4).  264-270.
  • von der Heide AM, Fallavollita P, Wang L, Sandner P, Navab N, Weidert S, Euler E (2018).  Camera-augmented mobile C-arm (CamC): A feasibility study of augmented reality imaging in the operating room.  International Journal of Medical Robotics and Computer Assisted Surgery.  14(2).
  • Tan DJ, Tombari F, Navab N (2018).  Real-Time Accurate 3D Head Tracking and Pose Estimation with Consumer RGB-D Cameras.  International Journal of Computer Vision.  126(2-4).  158-183.
  • Van Oosterom MN, Van Der Poel HG, Navab N, Van De Velde CJH, Van Leeuwen FWB (2018).  Computer-assisted surgery: Virtual- and augmented-reality displays for navigation during urological interventions.  Current Opinion in Urology.  28(2).  205-213.
  • Baur C, Albarqouni S, Navab N (2018).  Generating highly realistic images of skin lesions with GANs.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11041 LNCS.  260-267.
  • Estrada S, Conjeti S, Ahmad M, Navab N, Reuter M (2018).  Competition vs. concatenation in skip connections of fully convolutional networks.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11046 LNCS.  214-222.
  • Vivar G, Zwergal A, Navab N, Ahmadi SA (2018).  Multi-modal disease classification in incomplete datasets using geometric matrix completion.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11044 LNCS.  24-31.
  • Unberath M, Fotouhi J, Tucker E, Johnson A, Osgood G, Navab N (2018).  Percutaneous pelvis fixation using the camera-augmented C-arm: First successes in ex vivo deployment.  Informatik aktuell.  (211279).  17-18.
  • Conjeti S, Paschali M, Roy AG, Navab N (2018).  Deep hashing for large-scale medical image retrieval.  Informatik aktuell.  (211279).  35.
  • Hariharan SG, Strobel N, Kowarschik M, Fahrig R, Navab N (2018).  Simulation of realistic low dose fluoroscopic images from their high dose counterparts.  Informatik aktuell.  (211279).  80-85.
  • Busam B, Ruhkamp P, Virga S, Lentes B, Rackerseder J, Navab N, Hennersperger C (2018).  Markerless inside-out tracking for 3D ultrasound compounding.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11042 LNCS.  56-64.
  • Tateno K, Navab N, Tombari F (2018).  Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11220 LNCS.  732-750.
  • Roy AG, Conjeti S, Navab N, Wachinger C (2018).  Fast MRI whole brain segmentation with fully convolutional neural networks.  Informatik aktuell.  (211279).  42.
  • Kugelmann D, Stratmann L, Nühlen N, Bork F, Hoffmann S, Samarbarksh G, Pferschy A, von der Heide AM, Eimannsberger A, Fallavollita P, Navab N, Waschke J (2018).  An Augmented Reality magic mirror as additive teaching device for gross anatomy.  Annals of Anatomy.  215.  71-77.
  • Perez-Gonzalez J, Arámbula-Cosío F, Guzmán M, Camargo L, Gutierrez B, Mateus D, Navab N, Medina-Bañuelos V (2018).  Spatial Compounding of 3-D Fetal Brain Ultrasound Using Probabilistic Maps.  Ultrasound in Medicine and Biology.  44(1).  278-291.
  • Breininger K, Würfl T, Kurzendorfer T, Albarqouni S, Pfister M, Kowarschik M, Navab N, Maier A (2018).  Multiple device segmentation for fluoroscopic imaging using multi-task learning.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11043 LNCS.  19-27.
  • Vidal-Sicart S, Valdés Olmos R, Nieweg OE, Faccini R, Grootendorst MR, Wester HJ, Navab N, Vojnovic B, van der Poel H, Martínez-Román S, Klode J, Wawroschek F, van Leeuwen FWB (2018).  From interventionist imaging to intraoperative guidance: New perspectives by combining advanced tools and navigation with radio-guided surgery.  Revista Espanola de Medicina Nuclear e Imagen Molecular.  37(1).  28-40.
  • Manhardt F, Kehl W, Navab N, Tombari F (2018).  Deep model-based 6d pose refinement in rgb.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11218 LNCS.  833-849.
  • Coskun H, Tan DJ, Conjeti S, Navab N, Tombari F (2018).  Human motion analysis with deep metric learning.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11218 LNCS.  693-710.
  • Rethage D, Wald J, Sturm J, Navab N, Tombari F (2018).  Fully-Convolutional Point Networks for Large-Scale Point Clouds.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11208 LNCS.  625-640.
  • Casas L, Mürwald C, Achilles F, Mateus D, Huber D, Navab N, Demirci S (2018).  Human pose estimation from pressure sensor data.  Informatik aktuell.  (211279).  285-290.
  • Oda M, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K (2018).  Machine learning-based colon deformation estimation method for colonoscope tracking.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  10576.
  • Fotouhi J, Alexander CP, Unberath M, Taylor G, Lee SC, Fuerst B, Alex Johnson MD, Greg Osgood MD, Taylor RH, Khanuja H, Navab N, Armand M (2018).  Technical note: An augmented reality system for total hip arthroplasty.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  10576.
  • Tucker E, Fotouhi J, Unberath M, Lee SC, Fuerst B, Johnson A, Armand M, Osgood GM, Navab N (2018).  Towards clinical translation of augmented orthopedic surgery: From pre-op CT to intra-op x-ray via RGBD sensing.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  10579.
  • Andress S, Johson A, Unberath M, Winkler A, Yu K, Fotouhi J, Weidert S, Osgood G, Navab N (2018).  Technical note: On-The-fly augmented reality for orthopaedic surgery using a multi-modal fiducial.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  10576.
  • Milletari F, Rieke N, Baust M, Esposito M, Navab N (2018).  CFCM: Segmentation via Coarse to Fine Context Memory.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11073 LNCS.  667-674.
  • Fotouhi J, Unberath M, Taylor G, Farashahi AG, Bier B, Taylor RH, Osgood GM, Armand M, Navab N (2018).  Exploiting Partial Structural Symmetry for Patient-Specific Image Augmentation in Trauma Interventions.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11073 LNCS.  107-115.
  • Degel MA, Navab N, Albarqouni S (2018).  Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11073 LNCS.  630-637.
  • Hajek J, Unberath M, Fotouhi J, Bier B, Lee SC, Osgood G, Maier A, Armand M, Navab N (2018).  Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic Surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11073 LNCS.  299-306.
  • Yu K, Barmaki R, Unberath M, Mears A, Brey J, Chung TH, Navab N (2018).  On the accuracy of low-cost motion capture systems for range of motion measurements.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  10579.
  • Katouzian A, Wang H, Conjeti S, Tang H, Dehghan E, Karargyris A, Pillai A, Clarkson K, Navab N (2018).  Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11073 LNCS.  543-551.
  • Bier B, Unberath M, Zaech JN, Fotouhi J, Armand M, Osgood G, Navab N, Maier A (2018).  X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11073 LNCS.  55-63.
  • Preuhs A, Maier A, Manhart M, Fotouhi J, Navab N, Unberath M (2018).  Double your views – Exploiting symmetry in transmission imaging.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11070 LNCS.  356-364.
  • Unberath M, Zaech JN, Lee SC, Bier B, Fotouhi J, Armand M, Navab N (2018).  DeepDRR – A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11073 LNCS.  98-106.
  • Oda M, Roth HR, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K (2018).  Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11073 LNCS.  176-184.
  • Rackerseder J, Baust M, Göbl R, Navab N, Hennersperger C (2018).  Initialize globally before acting locally: Enabling landmark-free 3D US to MRI registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11070 LNCS.  827-835.
  • Roy AG, Navab N, Wachinger C (2018).  Concurrent spatial and channel ‘squeeze & excitation’ in fully convolutional networks.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11070 LNCS.  421-429.
  • Paschali M, Conjeti S, Navarro F, Navab N (2018).  Generalizability vs. robustness: Investigating medical imaging networks using adversarial examples.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11070 LNCS.  493-501.
  • Navarro F, Conjeti S, Tombari F, Navab N (2018).  Webly supervised learning for skin lesion classification.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11071 LNCS.  398-406.
  • Roy AG, Conjeti S, Navab N, Wachinger C (2018).  Inherent brain segmentation quality control from fully convnet monte carlo sampling.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11070 LNCS.  664-672.
  • DiPietro R, Rupprecht C, Navab N, Hager GD (2018).  Analyzing and exploiting NARX recurrent neural networks for long-term dependencies.  6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings.
  • Unberath M, Fotouhi J, Hajek J, Maier A, Osgood G, Taylor R, Armand M, Navab N (2018).  Augmented reality-based feedback for technician-in-the-loop C-arm repositioning.  Healthcare Technology Letters.  5(5).  143-147.
  • DiPietro R, Rupprecht C, Navab N, Hager GD (2018).  Analyzing and exploiting NARX recurrent neural networks for long-term dependencies.  6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings.
  • Coskun H, Achilles F, Dipietro R, Navab N, Tombari F (2017).  Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization.  Proceedings of the IEEE International Conference on Computer Vision.  2017-October.  5525-5533.
  • Kehl W, Manhardt F, Tombari F, Ilic S, Navab N (2017).  SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again.  Proceedings of the IEEE International Conference on Computer Vision.  2017-October.  1530-1538.
  • Rupprecht C, Laina I, Dipietro R, Baust M, Tombari F, Navab N, Hager GD (2017).  Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses.  Proceedings of the IEEE International Conference on Computer Vision.  2017-October.  3611-3620.
  • Bejnordi BE, Veta M, Van Diest PJ, Van Ginneken B, Karssemeijer N, Litjens G, Van Der Laak JAWM, Hermsen M, Manson QF, Balkenhol M, Geessink O, Stathonikos N, Van Dijk MCRF, Bult P, Beca F, Beck AH, Wang D, Khosla A, Gargeya R, Irshad H, Zhong A, Dou Q, Li Q, Chen H, Lin HJ, Heng PA, Haß C, Bruni E, Wong Q, Halici U, Öner MÜ, Cetin-Atalay R, Berseth M, Khvatkov V, Vylegzhanin A, Kraus O, Shaban M, Rajpoot N, Awan R, Sirinukunwattana K, Qaiser T, Tsang YW, Tellez D, Annuscheit J, Hufnagl P, Valkonen M, Kartasalo K, Latonen L, Ruusuvuori P, Liimatainen K, Albarqouni S, Mungal B, George A, Demirci S, Navab N, Watanabe S, Seno S, Takenaka Y, Matsuda H, Phoulady HA, Kovalev V, Kalinovsky A, Liauchuk V, Bueno G, Fernandez-Carrobles MM, Serrano I, Deniz O, Racoceanu D, Venâncio R (2017).  Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.  JAMA - Journal of the American Medical Association.  318(22).  2199-2210.
  • Chatelain P, Krupa A, Navab N (2017).  Confidence-driven control of an ultrasound probe.  IEEE Transactions on Robotics.  33(6).  1410-1424.
  • Sharma K, Rupprecht C, Caroli A, Aparicio MC, Remuzzi A, Baust M, Navab N (2017).  Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease.  Scientific Reports.  7(1).
  • Bork F, Barmaki R, Eck U, Yu K, Sandor C, Navab N (2017).  Empirical study of non-reversing magic mirrors for augmented reality anatomy learning.  Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017.  169-176.
  • Kehl W, Tombari F, Ilic S, Navab N (2017).  Real-Time 3D model tracking in color and depth on a single CPU core.  Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.  2017-January.  465-473.
  • Tateno K, Tombari F, Laina I, Navab N (2017).  CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction.  Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.  2017-January.  6565-6574.
  • Tan DJ, Navab N, Tombari F (2017).  Looking beyond the Simple Scenarios: Combining Learners and Optimizers in 3D Temporal Tracking.  IEEE Transactions on Visualization and Computer Graphics.  23(11).  2399-2409.
  • Milletari F, Ahmadi SA, Kroll C, Plate A, Rozanski V, Maiostre J, Levin J, Dietrich O, Ertl-Wagner B, Bötzel K, Navab N (2017).  Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound.  Computer Vision and Image Understanding.  164.  92-102.
  • Roodaki H, Navab N, Eslami A, Stapleton C, Navab N (2017).  SonifEye: Sonification of Visual Information Using Physical Modeling Sound Synthesis.  IEEE Transactions on Visualization and Computer Graphics.  23(11).  2366-2371.
  • Lee SC, Tateno K, Fuerst B, Tombari F, Fotouhi J, Osgood G, Johnson A, Navab N (2017).  Mixed Reality Support for Orthopaedic Surgery.  Adjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017.  204-205.
  • Gutierrez-Becker B, Mateus D, Peter L, Navab N (2017).  Guiding multimodal registration with learned optimization updates.  Medical Image Analysis.  41.  2-17.
  • Riva M, Hennersperger C, Milletari F, Katouzian A, Pessina F, Gutierrez-Becker B, Castellano A, Navab N, Bello L (2017).  3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation.  International Journal of Computer Assisted Radiology and Surgery.  12(10).  1711-1725.
  • Shi K, Fürst S, Sun L, Lukas M, Navab N, Förster S, Ziegler SI (2017).  Individual refinement of attenuation correction maps for hybrid PET/MR based on multi-resolution regional learning.  Computerized Medical Imaging and Graphics.  60.  50-57.
  • Shi K, Gao F, Navab N, Schnabel J, Shi P, Ziegler SI (2017).  Editorial for the special issue of “Computational methods for molecular imaging” for computerized medical imaging and graphics.  Computerized Medical Imaging and Graphics.  60.  1-2.
  • Zettinig O, Frisch B, Virga S, Esposito M, Rienmüller A, Meyer B, Hennersperger C, Ryang YM, Navab N (2017).  3D ultrasound registration-based visual servoing for neurosurgical navigation.  International Journal of Computer Assisted Radiology and Surgery.  12(9).  1607-1619.
  • Roy AG, Conjeti S, Karri SPK, Sheet D, Katouzian A, Wachinger C, Navab N (2017).  Relaynet: Retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.  Biomedical Optics Express.  8(8).  3627-3642.
  • Carneiro G, Peng T, Bayer C, Navab N (2017).  Automatic Quantification of Tumour Hypoxia from Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods.  IEEE Transactions on Medical Imaging.  36(7).  1405-1417.
  • Fotouhi J, Fuerst B, Wein W, Navab N (2017).  Can real-time RGBD enhance intraoperative Cone-Beam CT?.  International Journal of Computer Assisted Radiology and Surgery.  12(7).  1211-1219.
  • Busam B, Birdal T, Navab N (2017).  Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions.  Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017.  2018-January.  2436-2445.
  • Kazi A, Conjeti S, Katouzian A, Navab N (2017).  Coupled Manifold Learning for Retrieval Across Modalities.  Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017.  2018-January.  1321-1328.
  • Fotouhi J, Fuerst B, Johnson A, Lee SC, Taylor R, Osgood G, Navab N, Armand M (2017).  Pose-aware C-arm for automatic re-initialization of interventional 2D/3D image registration.  International Journal of Computer Assisted Radiology and Surgery.  12(7).  1221-1230.
  • Zettinig O, Rackerseder J, Lentes B, Maurer T, Westenfelder K, Eiber M, Frisch B, Navab N (2017).  Preconditioned intensity-based prostate registration using statistical deformation models.  Proceedings - International Symposium on Biomedical Imaging.  853-857.
  • Peng T, Thorn K, Schroeder T, Wang L, Theis FJ, Marr C, Navab N (2017).  A BaSiC tool for background and shading correction of optical microscopy images.  Nature Communications.  8.
  • Qian L, Barthel A, Johnson A, Osgood G, Kazanzides P, Navab N, Fuerst B (2017).  Comparison of optical see-through head-mounted displays for surgical interventions with object-anchored 2D-display.  International Journal of Computer Assisted Radiology and Surgery.  12(6).  901-910.
  • Kojcev R, Khakzar A, Fuerst B, Zettinig O, Fahkry C, DeJong R, Richmon J, Taylor R, Sinibaldi E, Navab N (2017).  On the reproducibility of expert-operated and robotic ultrasound acquisitions.  International Journal of Computer Assisted Radiology and Surgery.  12(6).  1003-1011.
  • Göbl R, Virga S, Rackerseder J, Frisch B, Navab N, Hennersperger C (2017).  Acoustic window planning for ultrasound acquisition.  International Journal of Computer Assisted Radiology and Surgery.  12(6).  993-1001.
  • Bui M, Albarqouni S, Schrapp M, Navab N, Ilic S (2017).  X-Ray PoseNet: 6 DoF pose estimation for mobile x-ray devices.  Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017.  1036-1044.
  • Azimi E, Qian L, Kazanzides P, Navab N (2017).  Robust optical see-through head-mounted display calibration: Taking anisotropic nature of user interaction errors into account.  Proceedings - IEEE Virtual Reality.  219-220.
  • Bork F, Barmaki R, Eck U, Fallavolita P, Fuerst B, Navab N (2017).  Exploring non-reversing magic mirrors for screen-based augmented reality systems.  Proceedings - IEEE Virtual Reality.  373-374.
  • Tateno K, Tombari F, Navab N (2017).  Large scale and long standing simultaneous reconstruction and segmentation.  Computer Vision and Image Understanding.  157.  138-150.
  • Monge F, Shakir DI, Lejeune F, Morandi X, Navab N, Jannin P (2017).  Acquisition models in intraoperative positron surface imaging.  International Journal of Computer Assisted Radiology and Surgery.  12(4).  691-703.
  • Hennersperger C, Fuerst B, Virga S, Zettinig O, Frisch B, Neff T, Navab N (2017).  Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study.  IEEE Transactions on Medical Imaging.  36(2).  538-548.
  • Qian L, Winkler A, Fuerst B, Kazanzides P, Navab N (2017).  Modeling Physical Structure as Additional Constraints for Stereoscopic Optical See-Through Head-Mounted Display Calibration.  Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016.  154-155.
  • Naik H, Bahaa M, Tombari F, Keitler P, Navab N (2017).  Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario.  Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016.  121-122.
  • Ienaga N, Bork F, Meerits S, Mori S, Fallavollita P, Navab N, Saito H (2017).  First Deployment of Diminished Reality for Anatomy Education.  Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016.  294-296.
  • Qian L, Winkler A, Fuerst B, Kazanzides P, Navab N (2017).  Reduction of Interaction Space in Single Point Active Alignment Method for Optical See-Through Head-Mounted Display Calibration.  Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016.  156-157.
  • Conjeti S, Roy AG, Katouzian A, Navab N (2017).  Hashing with residual networks for image retrieval.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10435 LNCS.  541-549.
  • Matl S, Brosig R, Baust M, Navab N, Demirci S (2017).  Vascular image registration techniques: A living review.  Medical Image Analysis.  35.  1-17.
  • Seyednasrollah F, Koestler DC, Wang T, Piccolo SR, Vega R, Greiner R, Fuchs C, Gofer E, Kumar L, Wolfinger RD, Winner KK, Neto EC, Yu T, Shen L, Stolovitzky G, Soule HR, Sweeney CJ, Ryan CJ, Scher HI, Sartor O, Elo LL, Zhou FL, Costello JC, Abdallah K, Airola A, Aittokallio T, Anghel C, Ankerst DP, Azima H, Baertsch R, Ballester PJ, Bare C, Bhandari V, Bot BM, Buchardt A-S, Buturovic L, Cao D, Chalise P, Chang BHW, Cho J, Chu T-M, Yates Coley R, Conjeti S, Correia S, Dai Z, Dai J, Dang CC, Dargatz P, Delavarkhan S, Deng D, Dhanik A, Du Y, Elangovan A, Ellis S, Espiritu SM, Fan F, Farshi AB, Freitas A, Fridley B, Golinska AK, Graw S, Greiner R, Guinney J, Guo J, Gupta P, Guyer AI, Han J, Hansen NR, Hirvonen O, Huang B, Huang C, Hwang J, Ibrahim JG, Jayaswal V, Jeon J, Ji Z, Juvvadi D, Jyrkkiö S, Kanigel-Winner K, Katouzian A, Kazanov MD, Khan SA, Khayyer S, Kim D, Koestler D, Kokowicz F, Kondofersky I, Krstajic D, Persona C, Kurz C, Kyan M, Laajala TD, Laimighofer M, Lee E, Lesi...Zhu Y (2017).  A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration- resistant prostate cancer.  JCO Clinical Cancer Informatics.  2017(1).  1-15.
  • Lee SC, Fuerst B, Tateno K, Johnson A, Fotouhi J, Osgood G, Tombari F, Navab N (2017).  Multi-modal imaging, model-based tracking, and mixed reality visualisation for orthopaedic surgery.  Healthcare Technology Letters.  4(5).  168-173.
  • Kazi A, Albarqouni S, Sanchez AJ, Kirchhoff S, Biberthaler P, Navab N, Mateus D (2017).  Automatic classification of proximal femur fractures based on attention models.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10541 LNCS.  70-78.
  • Perez-Gonzalez JL, Cosio FA, Guzman M, Camargo L, Gutierrez B, Mateus D, Navab N, Medina-Banuelos V (2017).  Ultrasound fetal brain registration using weighted coherent point drift.  Proceedings of SPIE - The International Society for Optical Engineering.  10160.
  • Habert S, Eck U, Fallavollita P, Parent S, Navab N, Cheriet F (2017).  Application of an RGBD augmented C-arm for minimally invasive scoliosis surgery assistance.  Healthcare Technology Letters.  4(5).  179-183.
  • Peter L, Mateus D, Chatelain P, Declara D, Schworm N, Stangl S, Multhoff G, Navab N (2017).  Assisting the examination of large histopathological slides with adaptive forests.  Medical Image Analysis.  35.  655-668.
  • Bortsova G, van Tulder G, Dubost F, Peng T, Navab N, van der Lugt A, Bos D, De Bruijne M (2017).  Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10435 LNCS.  356-364.
  • Tan DJ, Navab N, Tombari F (2017).  Adaptive learning-based temporal tracker for 3D head shape models.  British Machine Vision Conference 2017, BMVC 2017.
  • Peters T, Yang GZ, Navab N, Mori K, Luo X, Reichl T, McLeod J (2017).  Preface.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10170 LNCS.  V.
  • Stefan P, Habert S, Winkler A, Lazarovici M, Fürmetz J, Eck U, Navab N (2017).  A mixed-reality approach to radiation-free training of C-arm based surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10434 LNCS.  540-547.
  • Oda M, Kondo H, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K (2017).  Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings.  International Journal of Computer Assisted Radiology and Surgery.  12(1).  39-50.
  • Tan DJ, Navab N, Tombari F (2017).  Adaptive learning-based temporal tracker for 3D head shape models.  British Machine Vision Conference 2017, BMVC 2017.
  • Conjeti S, Paschali M, Katouzian A, Navab N (2017).  Deep multiple instance hashing for scalable medical image retrieval.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10435 LNCS.  550-558.
  • Navarro-Avila FJ, Saint-Hill-Febles Y, Renner J, Klare P, Von Delius S, Navab N, Mateus D (2017).  Computer assisted optical biopsy for colorectal polyps.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  10134.
  • Salehi M, Prevost R, Moctezuma JL, Navab N, Wein W (2017).  Precise ultrasound bone registration with learning-based segmentation and speed of sound calibration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10434 LNCS.  682-690.
  • Albarqouni S, Fotouhi J, Navab N (2017).  X-ray in-depth decomposition: Revealing the latent structures.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10435 LNCS.  444-452.
  • Pölsterl S, Gupta P, Wang L, Conjeti S, Katouzian A, Navab N (2017).  Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients.  F1000Research.  5.
  • Matinfar S, Nasseri MA, Eck U, Roodaki H, Navab N, Lohmann CP, Maier M, Navab N (2017).  Surgical soundtracks: Towards automatic musical augmentation of surgical procedures.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10434 LNCS.  673-681.
  • Li R, Wu P, Yakushev I, Wang J, Ziegler SI, Förster S, Huang SC, Schwaiger M, Navab N, Zuo C, Shi K (2017).  Pattern visualization and recognition using tensor factorization for early differential diagnosis of parkinsonism.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10435 LNCS.  125-133.
  • Laina I, Rieke N, Rupprecht C, Vizcaíno JP, Eslami A, Tombari F, Navab N (2017).  Concurrent segmentation and localization for tracking of surgical instruments.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10434 LNCS.  664-672.
  • Roy AG, Conjeti S, Sheet D, Katouzian A, Navab N, Wachinger C (2017).  Error corrective boosting for learning fully convolutional networks with limited data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10435 LNCS.  231-239.
  • Diaz K, Baust M, Navab N (2017).  Context-sensitive patch histograms for detecting rare events in histopathological data.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  10140.
  • Baur C, Albarqouni S, Navab N (2017).  Semi-supervised deep learning for fully convolutional networks.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10435 LNCS.  311-319.
  • Vizcaíno JP, Rieke N, Tan DJ, Tombari F, Eslami A, Navab N (2017).  Automatic initialization and failure detection for surgical tool tracking in retinal microsurgery.  Informatik aktuell.  346-351.
  • Rackerseder J, González AML, Düwel C, Navab N, Frisch B (2017).  Fully automated multi-modal anatomic atlas generation using 3D-slicer.  Informatik aktuell.  306-311.
  • Hofschen K, Geissler T, Rieke N, zu Berge CS, Navab N, Demirci S (2017).  Image descriptors in angiography.  Informatik aktuell.  283-288.
  • Laina I, Rupprecht C, Belagiannis V, Tombari F, Navab N (2016).  Deeper depth prediction with fully convolutional residual networks.  Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016.  239-248.
  • Milletari F, Navab N, Ahmadi SA (2016).  V-Net: Fully convolutional neural networks for volumetric medical image segmentation.  Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016.  565-571.
  • Busam B, Esposito M, Frisch B, Navab N (2016).  Quaternionic upsampling: Hyperspherical techniques for 6 DoF pose tracking.  Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016.  629-638.
  • Huang CH, Allain B, Franco JS, Navab N, Ilic S, Boyer E (2016).  Volumetric 3D Tracking by Detection.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2016-December.  3862-3870.
  • Rieke N, Tan DJ, Amat di San Filippo C, Tombari F, Alsheakhali M, Belagiannis V, Eslami A, Navab N (2016).  Real-time localization of articulated surgical instruments in retinal microsurgery.  Medical Image Analysis.  34.  82-100.
  • Conjeti S, Katouzian A, Kazi A, Mesbah S, Beymer D, Syeda-Mahmood TF, Navab N (2016).  Metric hashing forests.  Medical Image Analysis.  34.  13-29.
  • Navab N, Frangi AF, Wells W, Maier A (2016).  Editorial for the Special Issue on MICCAI 2015.  Medical Image Analysis.  34.  1-2.
  • Gardiazabal J, Matthies P, Vogel J, Frisch B, Navab N, Ziegler S, Lasser T (2016).  Flexible mini gamma camera reconstructions of extended sources using step and shoot and list mode.  Medical Physics.  43(12).  6418-6428.
  • Virga S, Zettinig O, Esposito M, Pfister K, Frisch B, Neff T, Navab N, Hennersperger C (2016).  Automatic force-compliant robotic Ultrasound screening of abdominal aortic aneurysms.  IEEE International Conference on Intelligent Robots and Systems.  2016-November.  508-513.
  • Rupprecht C, Lea C, Tombari F, Navab N, Hager GD (2016).  Sensor substitution for video-based action recognition.  IEEE International Conference on Intelligent Robots and Systems.  2016-November.  5230-5237.
  • Li C, Xiao H, Tateno K, Tombari F, Navab N, Hager GD (2016).  Incremental scene understanding on dense SLAM.  IEEE International Conference on Intelligent Robots and Systems.  2016-November.  574-581.
  • Fallavollita P, Brand A, Wang L, Euler E, Thaller P, Navab N, Weidert S (2016).  An augmented reality C-arm for intraoperative assessment of the mechanical axis: a preclinical study.  International Journal of Computer Assisted Radiology and Surgery.  11(11).  2111-2117.
  • Da Gama AEF, Chaves TM, Figueiredo LS, Baltar A, Meng M, Navab N, Teichrieb V, Fallavollita P (2016).  MirrARbilitation: A clinically-related gesture recognition interactive tool for an AR rehabilitation system.  Computer Methods and Programs in Biomedicine.  135.  105-114.
  • Belagiannis V, Amin S, Andriluka M, Schiele B, Navab N, Ilic S (2016).  3D Pictorial Structures Revisited: Multiple Human Pose Estimation.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  38(10).  1929-1942.
  • Belagiannis V, Wang X, Shitrit HBB, Hashimoto K, Stauder R, Aoki Y, Kranzfelder M, Schneider A, Fua P, Ilic S, Feussner H, Navab N (2016).  Parsing human skeletons in an operating room.  Machine Vision and Applications.  27(7).  1035-1046.
  • Navab N, Fellow M, Hennersperger C, Frisch B, Fürst B (2016).  Personalized, relevance-based Multimodal Robotic Imaging and augmented reality for Computer Assisted Interventions.  Medical Image Analysis.  33.  64-71.
  • Conjeti S, Mesbah S, Negahdar M, Rautenberg PL, Zhang S, Navab N, Katouzian A (2016).  Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases.  Neuroinformatics.  14(4).  369-385.
  • Wang X, Habert S, zu Berge CS, Fallavollita P, Navab N (2016).  Inverse visualization concept for RGB-D augmented C-arms.  Computers in Biology and Medicine.  77.  135-147.
  • Pölsterl S, Conjeti S, Navab N, Katouzian A (2016).  Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection.  Artificial Intelligence in Medicine.  72.  1-11.
  • Esposito M, Busam B, Hennersperger C, Rackerseder J, Navab N, Frisch B (2016).  Multimodal US–gamma imaging using collaborative robotics for cancer staging biopsies.  International Journal of Computer Assisted Radiology and Surgery.  11(9).  1561-1571.
  • Vahadane A, Peng T, Sethi A, Albarqouni S, Wang L, Baust M, Steiger K, Schlitter AM, Esposito I, Navab N (2016).  Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.  IEEE Transactions on Medical Imaging.  35(8).  1962-1971.
  • Van Oosterom MN, Engelen MA, Van Den Berg NS, Klein Jan GH, Van Der Poel HG, Wendler T, Van De Velde CJH, Navab N, Van Leeuwen FWB (2016).  Navigation of a robot-integrated fluorescence laparoscope in preoperative SPECT/CT and intraoperative freehand SPECT imaging data: A phantom study.  Journal of Biomedical Optics.  21(8).
  • Wang X, Habert S, Ma M, Huang CH, Fallavollita P, Navab N (2016).  Precise 3D/2D calibration between a RGB-D sensor and a C-arm fluoroscope.  International Journal of Computer Assisted Radiology and Surgery.  11(8).  1385-1395.
  • Conjeti S, Katouzian A, Roy AG, Peter L, Sheet D, Carlier S, Laine A, Navab N (2016).  Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.  Medical Image Analysis.  32.  1-17.
  • Baust M, Weinmann A, Wieczorek M, Lasser T, Storath M, Navab N (2016).  Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a Riemannian Manifold Approach.  IEEE Transactions on Medical Imaging.  35(8).  1972-1989.
  • Baur C, Milletari F, Belagiannis V, Navab N, Fallavollita P (2016).  Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences.  International Journal of Computer Assisted Radiology and Surgery.  11(7).  1319-1328.
  • Stefanoiu A, Weinmann A, Storath M, Navab N, Baust M (2016).  Joint Segmentation and Shape Regularization with a Generalized Forward-Backward Algorithm.  IEEE Transactions on Image Processing.  25(7).  3384-3394.
  • Alsheakhali M, Eslami A, Navab N (2016).  Detection of articulated instruments in retinal microsurgery.  Proceedings - International Symposium on Biomedical Imaging.  2016-June.  107-110.
  • Roy AG, Conjeti S, Carlier SG, Houissa K, Konig A, Dutta PK, Laine AF, Navab N, Katouzian A, Sheet D (2016).  Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography.  Proceedings - International Symposium on Biomedical Imaging.  2016-June.  1359-1362.
  • Mishra M, Schmitt S, Wang L, Strasser MK, Marr C, Navab N, Zischka H, Peng T (2016).  Structure-based assessment of cancerous mitochondria using deep networks.  Proceedings - International Symposium on Biomedical Imaging.  2016-June.  545-548.
  • Tateno K, Tombari F, Navab N (2016).  When 2.5D is not enough: Simultaneous reconstruction, segmentation and recognition on dense SLAM.  Proceedings - IEEE International Conference on Robotics and Automation.  2016-June.  2295-2302.
  • Zettinig O, Fuerst B, Kojcev R, Esposito M, Salehi M, Wein W, Rackerseder J, Sinibaldi E, Frisch B, Navab N (2016).  Toward real-time 3D ultrasound registration-based visual servoing for interventional navigation.  Proceedings - IEEE International Conference on Robotics and Automation.  2016-June.  945-950.
  • Graumann C, Fuerst B, Hennersperger C, Bork F, Navab N (2016).  Robotic ultrasound trajectory planning for volume of interest coverage.  Proceedings - IEEE International Conference on Robotics and Automation.  2016-June.  736-741.
  • Chatelain P, Krupa A, Navab N (2016).  Confidence-driven control of an ultrasound probe: Target-specific acoustic window optimization.  Proceedings - IEEE International Conference on Robotics and Automation.  2016-June.  3441-3446.
  • Albarqouni S, Konrad U, Wang L, Navab N, Demirci S (2016).  Single-view X-ray depth recovery: toward a novel concept for image-guided interventions.  International Journal of Computer Assisted Radiology and Surgery.  11(6).  873-880.
  • Lee SC, Fuerst B, Fotouhi J, Fischer M, Osgood G, Navab N (2016).  Calibration of RGBD camera and cone-beam CT for 3D intra-operative mixed reality visualization.  International Journal of Computer Assisted Radiology and Surgery.  11(6).  967-975.
  • Kojcev R, Fuerst B, Zettinig O, Fotouhi J, Lee SC, Frisch B, Taylor R, Sinibaldi E, Navab N (2016).  Dual-robot ultrasound-guided needle placement: closing the planning-imaging-action loop.  International Journal of Computer Assisted Radiology and Surgery.  11(6).  1173-1181.
  • Ma M, Fallavollita P, Habert S, Weidert S, Navab N (2016).  Device- and system-independent personal touchless user interface for operating rooms: One personal UI to control all displays in an operating room.  International Journal of Computer Assisted Radiology and Surgery.  11(6).  853-861.
  • Fischer M, Fuerst B, Lee SC, Fotouhi J, Habert S, Weidert S, Euler E, Osgood G, Navab N (2016).  Preclinical usability study of multiple augmented reality concepts for K-wire placement.  International Journal of Computer Assisted Radiology and Surgery.  11(6).  1007-1014.
  • Albarqouni S, Baur C, Achilles F, Belagiannis V, Demirci S, Navab N (2016).  AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.  IEEE Transactions on Medical Imaging.  35(5).  1313-1321.
  • Ma M, Fallavollita P, Seelbach I, Von Der Heide AM, Euler E, Waschke J, Navab N (2016).  Personalized augmented reality for anatomy education.  Clinical Anatomy.  29(4).  446-453.
  • Schulte Zu Berge C, Declara D, Hennersperger C, Baust M, Navab N (2016).  Real-time uncertainty visualization for B-mode ultrasound.  2015 IEEE Scientific Visualization Conference, SciVis 2015 - Proceedings.  33-40.
  • Guha Roy A, Conjeti S, Carlier SG, Dutta PK, Kastrati A, Laine AF, Navab N, Katouzian A, Sheet D (2016).  Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks.  IEEE Journal of Biomedical and Health Informatics.  20(2).  606-614.
  • Fuerst B, Sprung J, Pinto F, Frisch B, Wendler T, Simon H, Mengus L, Van Den Berg NS, Van Der Poel HG, Van Leeuwen FWB, Navab N (2016).  First Robotic SPECT for Minimally Invasive Sentinel Lymph Node Mapping.  IEEE Transactions on Medical Imaging.  35(3).  830-838.
  • Oda M, Kondo H, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K (2016).  Tracking accuracy evaluation of electromagnetic sensor-based colonoscope tracking method.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9515.  101-108.
  • Kalia M, Schulte zu Berge C, Roodaki H, Chakraborty C, Navab N (2016).  Interactive depth of focus for improved depth perception.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9805 LNCS.  221-232.
  • Bortsova G, Sterr M, Wang L, Milletari F, Navab N, Böttcher A, Lickert H, Theis F, Peng T (2016).  Mitosis detection in intestinal crypt images with Hough forest and Conditional Random Fields.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10019 LNCS.  287-295.
  • Baur C, Albarqouni S, Demirci S, Navab N, Fallavollita P (2016).  Cathnets: Detection and single-view depth prediction of catheter electrodes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9805 LNCS.  38-49.
  • Simonovsky M, Gutiérrez-Becker B, Mateus D, Navab N, Komodakis N (2016).  A deep metric for multimodal registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9902 LNCS.  10-18.
  • Ma M, Jutzi P, Bork F, Seelbach I, Von Der Heide AM, Navab N, Fallavollita P (2016).  Interactive mixed reality for muscle structure and function learning.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9805 LNCS.  117-128.
  • Albarqouni S, Matl S, Baust M, Navab N, Demirci S (2016).  Playsourcing: A novel concept for knowledge creation in biomedical research.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10008 LNCS.  269-277.
  • Fuerst B, Sutton EE, Ghotbi R, Cowan NJ, Navab N (2016).  Bioelectric navigation: A new paradigm for intravascular device guidance.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9900 LNCS.  474-481.
  • Kehl W, Milletari F, Tombari F, Ilic S, Navab N (2016).  Deep learning of local RGB-D patches for 3D object detection and 6D pose estimation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9907 LNCS.  205-220.
  • Roodaki H, di San Filippo CA, Zapp D, Navab N, Eslami A (2016).  A surgical guidance system for big-bubble deep anterior lamellar keratoplasty.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9900 LNCS.  378-385.
  • Shah A, Conjeti S, Navab N, Katouzian A (2016).  Deeply learnt hashing forests for content based image retrieval in prostate MR images.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9784.
  • Gutiérrez-Becker B, Mateus D, Peter L, Navab N (2016).  Learning optimization updates for multimodal registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9902 LNCS.  19-27.
  • Oda M, Kondo H, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K (2016).  Position-based adjustment of landmark-based correspondence finding in electromagnetic sensor-based colonoscope tracking method.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9786.
  • Kroll C, Milletari F, Navab N, Ahmadi SA (2016).  Coupling convolutional neural networks and hough voting for robust segmentation of ultrasound volumes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9796 LNCS.  439-450.
  • Rieke N, Tan DJ, Tombari F, Vizcáino JP, di San Filippo CA, Eslami A, Navab N (2016).  Real-time online adaption for robust instrument tracking and pose estimation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9900 LNCS.  422-430.
  • Dubost F, Peter L, Rupprecht C, Becker BG, Navab N (2016).  Hands-free segmentation of medical volumes via binary inputs.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10008 LNCS.  259-268.
  • Bekmukhametov R, Pölsterl S, Allmendinger T, Doan MD, Navab N (2016).  Automatic detection of non-biological artifacts in ECGs acquired during cardiac computed tomography.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9853 LNCS.  193-208.
  • Eck U, Stefan P, Laga H, Sandor C, Fallavollita P, Navab N (2016).  Exploring Visuo-Haptic augmented reality user interfaces for Stereo-tactic neurosurgery planning.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9805 LNCS.  208-220.
  • Hennersperger C, Manus J, Navab N (2016).  Mobile laser projection in computer assisted neurosurgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9805 LNCS.  151-162.
  • Slavcheva M, Kehl W, Navab N, Ilic S (2016).  SDF-2-SDF: Highly accurate 3D object reconstruction.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9905 LNCS.  680-696.
  • Kehl W, Holl T, Tombari F, Ilic S, Navab N (2016).  An octree-based approach towards efficient variational range data fusion.  British Machine Vision Conference 2016, BMVC 2016.  2016-September.  21.1-21.12.
  • Achilles F, Ichim AE, Coskun H, Tombari F, Noachtar S, Navab N (2016).  Patient MoCap: Human pose estimation under blanket occlusion for hospital monitoring applications.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9900 LNCS.  491-499.
  • Monge F, Shakir DI, Navab N, Jannin P (2016).  Partition-based acquisition model for speed up navigated beta-probe surface imaging.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9786.
  • Alsheakhali M, Eslami A, Roodaki H, Navab N (2016).  CRF-Based Model for Instrument Detection and Pose Estimation in Retinal Microsurgery.  Computational and Mathematical Methods in Medicine.  2016.
  • Tateno K, Tombari F, Navab N (2015).  Real-time and scalable incremental segmentation on dense SLAM.  IEEE International Conference on Intelligent Robots and Systems.  2015-December.  4465-4472.
  • Carneiro G, Peng T, Bayer C, Navab N (2015).  Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images.  Proceedings - International Conference on Image Processing, ICIP.  2015-December.  2429-2433.
  • Zettinig O, Shah A, Hennersperger C, Eiber M, Kroll C, Kübler H, Maurer T, Milletarì F, Rackerseder J, Schulte zu Berge C, Storz E, Frisch B, Navab N (2015).  Multimodal image-guided prostate fusion biopsy based on automatic deformable registration.  International Journal of Computer Assisted Radiology and Surgery.  10(12).  1997-2007.
  • Tan DJ, Tombari F, Navab N (2015).  A Combined Generalized and Subject-Specific 3D Head Pose Estimation.  Proceedings - 2015 International Conference on 3D Vision, 3DV 2015.  500-508.
  • Huang CH, Tombari F, Navab N (2015).  Repeatable Local Coordinate Frames for 3D Human Motion Tracking: From Rigid to Non-rigid.  Proceedings - 2015 International Conference on 3D Vision, 3DV 2015.  371-379.
  • Habert S, Meng M, Kehl W, Wang X, Tombari F, Fallavollita P, Navab N (2015).  [POSTER] Augmenting mobile C-arm fluoroscopes via stereo-RGBD sensors for multimodal visualization.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  72-75.
  • Habert S, Gardiazabal J, Fallavollita P, Navab N (2015).  RGBDX: First design and experimental validation of a mirror-based RGBD X-ray imaging system.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  13-18.
  • Roodaki H, Filippatos K, Eslami A, Navab N (2015).  Introducing augmented reality to optical coherence tomography in ophthalmic microsurgery.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  1-6.
  • Ma M, Merckx K, Fallavollita P, Navab N (2015).  [POSTER] Natural user interface for ambient objects.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  76-79.
  • Naik H, Tombari F, Resch C, Keitler P, Navab N (2015).  [POSTER] A step closer to reality: Closed loop dynamic registration correction in SAR.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  112-115.
  • Bork F, Fuers B, Schneider AK, Pinto F, Graumann C, Navab N (2015).  Auditory and visio-temporal distance coding for 3-dimensional perception in medical augmented reality.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  7-12.
  • Leucht N, Habert S, Wucherer P, Weidert S, Navab N, Fallavollita P (2015).  [POSTER] Augmented reality for radiation awareness.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  60-63.
  • Wang X, Habert S, Ma M, Huang CH, Fallavollita P, Navab N (2015).  [POSTER] RGB-D/C-arm calibration and application in medical augmented reality.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  100-103.
  • Naik H, Oyamada Y, Keitler P, Navab N (2015).  [POSTER] Exploiting photogrammetric targets for industrial AR.  Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015.  144-147.
  • Loeb R, Navab N, Ziegler SI (2015).  Direct Parametric Reconstruction Using Anatomical Regularization for Simultaneous PET/MRI Data.  IEEE Transactions on Medical Imaging.  34(11).  2233-2247.
  • Huang CH, Boyer E, Angonese BDC, Navab N, Ilic S (2015).  Toward user-specific tracking by detection of human shapes in multi-cameras.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  07-12-June-2015.  4027-4035.
  • Baust M, Demaret L, Storath M, Navab N, Weinmann A (2015).  Total variation regularization of shape signals.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  07-12-June-2015.  2075-2083.
  • Rupprecht C, Peter L, Navab N (2015).  Image segmentation in Twenty Questions.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  07-12-June-2015.  3314-3322.
  • Londei R, Esposito M, Diotte B, Weidert S, Euler E, Thaller P, Navab N, Fallavollita P (2015).  Intra-operative augmented reality in distal locking.  International Journal of Computer Assisted Radiology and Surgery.  10(9).  1395-1403.
  • Eagleson R, Wucherer P, Stefan P, Duschko Y, De Ribaupierre S, Vollmar C, Fallavollita P, Navab N (2015).  Collaborative table-top VR display for neurosurgical planning.  2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings.  169-170.
  • Wucherer P, Stefan P, Abhari K, Fallavollita P, Weigl M, Lazarovici M, Winkler A, Weidert S, Peters T, De Ribaupierre S, Eagleson R, Navab N (2015).  Vertebroplasty Performance on Simulator for 19 Surgeons Using Hierarchical Task Analysis.  IEEE Transactions on Medical Imaging.  34(8).  1730-1737.
  • Li S, Yao J, Navab N (2015).  Guest Editorial Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention.  IEEE Transactions on Medical Imaging.  34(8).  1625-1626.
  • De Luca V, Benz T, Kondo S, König L, Lübke D, Rothlübbers S, Somphone O, Allaire S, Lediju Bell MA, Chung DYF, Cifor A, Grozea C, Günther M, Jenne J, Kipshagen T, Kowarschik M, Navab N, Rühaak J, Schwaab J, Tanner C (2015).  The 2014 liver ultrasound tracking benchmark.  Physics in Medicine and Biology.  60(14).  5571-5599.
  • Cheng X, Li Z, Liu Z, Navab N, Huang SC, Keller U, Ziegler SI, Shi K (2015).  Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging.  IEEE Transactions on Medical Imaging.  34(7).  1498-1512.
  • Ahmadi SA, Milletari F, Navab N, Schuberth M, Plate A, Bötzel K (2015).  3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study.  International Journal of Computer Assisted Radiology and Surgery.  10(6).  891-900.
  • Wein W, Karamalis A, Baumgartner A, Navab N (2015).  Automatic bone detection and soft tissue aware ultrasound–CT registration for computer-aided orthopedic surgery.  International Journal of Computer Assisted Radiology and Surgery.  10(6).  971-979.
  • Volpi D, Sarhan MH, Ghotbi R, Navab N, Mateus D, Demirci S (2015).  Online tracking of interventional devices for endovascular aortic repair.  International Journal of Computer Assisted Radiology and Surgery.  10(6).  773-781.
  • Ralovich K, Itu L, Vitanovski D, Sharma P, Ionasec R, Mihalef V, Krawtschuk W, Zheng Y, Everett A, Pongiglione G, Leonardi B, Ringel R, Navab N, Heimann T, Comaniciu D (2015).  Noninvasive hemodynamic assessment, treatment outcome prediction and follow-up of aortic coarctation from MR imaging.  Medical Physics.  42(5).  2143-2156.
  • Castrillon JG, Ahmadi A, Navab N, Richiardi J (2015).  Learning with multi-site fMRI graph data.  Conference Record - Asilomar Conference on Signals, Systems and Computers.  2015-April.  608-612.
  • Da Gama A, Fallavollita P, Teichrieb V, Navab N (2015).  Motor Rehabilitation Using Kinect: A Systematic Review.  Games for Health Journal.  4(2).  123-135.
  • Carneiro G, Peng T, Bayer C, Navab N (2015).  Weakly-supervised structured output learning with flexible and latent graphs using high-order loss functions.  Proceedings of the IEEE International Conference on Computer Vision.  2015 International Conference on Computer Vision, ICCV 2015.  648-656.
  • Belagiannis V, Rupprecht C, Carneiro G, Navab N (2015).  Robust optimization for deep regression.  Proceedings of the IEEE International Conference on Computer Vision.  2015 International Conference on Computer Vision, ICCV 2015.  2830-2838.
  • Tan DJ, Tombari F, Ilic S, Navab N (2015).  A versatile learning-based 3d temporal tracker: Scalable, robust, online.  Proceedings of the IEEE International Conference on Computer Vision.  2015 International Conference on Computer Vision, ICCV 2015.  693-701.
  • Busam B, Esposito M, Che'Rose S, Navab N, Frisch B (2015).  A Stereo Vision Approach for Cooperative Robotic Movement Therapy.  Proceedings of the IEEE International Conference on Computer Vision.  2015-February.  519-527.
  • Hartl A, Shakir DI, Lasser T, Ziegler SI, Navab N (2015).  Detection models for freehand SPECT reconstruction.  Physics in Medicine and Biology.  60(3).  1031-1046.
  • Fuerst B, Mansi T, Carnis F, Sälzle M, Zhang J, Declerck J, Boettger T, Bayouth J, Navab N, Kamen A (2015).  Patient-specific biomechanical model for the prediction of lung motion from 4-D CT images.  IEEE Transactions on Medical Imaging.  34(2).  599-607.
  • Diotte B, Fallavollita P, Wang L, Weidert S, Euler E, Thaller P, Navab N (2015).  Multi-modal intra-operative navigation during distal locking of intramedullary nails.  IEEE Transactions on Medical Imaging.  34(2).  487-495.
  • Vetter C, Lasser T, Okur A, Navab N (2015).  1D-3D registration for intra-operative nuclear imaging in radio-guided surgery.  IEEE Transactions on Medical Imaging.  34(2).  608-617.
  • Vahadane A, Peng T, Albarqouni S, Baust M, Steiger K, Schlitter AM, Sethi A, Esposito I, Navab N (2015).  Structure-preserved color normalization for histological images.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  1012-1015.
  • Pölsterl S, Singh M, Katouzian A, Navab N, Kastrati A, Ladic L, Kamen A (2015).  Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects Clinical decision-making, knowledge support systems, and theory.  BMC Medical Informatics and Decision Making.  15(1).
  • Duliu A, Brosig R, Ognawala S, Lasser T, Ziai M, Navab N (2015).  Illumination compensation and normalization using low-rank decomposition of multispectral images in dermatology.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9123.  613-625.
  • Nissler C, Mouriki N, Castellini C, Belagiannis V, Navab N (2015).  OMG: Introducing optical myography as a new human machine interface for hand amputees.  IEEE International Conference on Rehabilitation Robotics.  2015-September.  937-942.
  • Chatelain P, Krupa A, Navab N (2015).  Optimization of ultrasound image quality via visual servoing.  Proceedings - IEEE International Conference on Robotics and Automation.  2015-June(June).  5997-6002.
  • Yigitsoy M, Katouzian A, Navab N (2015).  Structure propagation for deformable image stitching.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  1081-1084.
  • Duliu A, Gardiazabal J, Lasser T, Navab N (2015).  Reproducible high-resolution multispectral image acquisition in dermatology.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9537.
  • Cheng X, Liu J, Vogel J, Liu Z, Navab N, Ziegler S, Shi K (2015).  Time-activity curve based sinogram decomposition for streak artifacts reduction in dynamic PET reconstruction.  Lecture Notes in Computational Vision and Biomechanics.  22.  81-89.
  • Neumann D, Grbic S, John M, Navab N, Hornegger J, Ionasec R (2015).  Probabilistic sparse matching for robust 3D/3D fusion in minimally invasive surgery.  IEEE Transactions on Medical Imaging.  34(1).  49-60.
  • Albarqouni S, Lasser T, Alkhaldi W, Al-Amoudi A, Navab N (2015).  Gradient projection for regularized cryo-electron tomographic reconstruction.  Lecture Notes in Computational Vision and Biomechanics.  22.  43-51.
  • Chatelain P, Krupa A, Navab N (2015).  3D ultrasound-guided robotic steering of a flexible needle via visual servoing.  Proceedings - IEEE International Conference on Robotics and Automation.  2015-June(June).  2250-2255.
  • Sheet D, Karri SPK, Katouzian A, Navab N, Ray AK, Chatterjee J (2015).  Deep learning of tissue specific speckle representations in optical coherence tomography and deeper exploration for in situ histology.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  777-780.
  • Kataoka H, Hashimoto K, Iwata K, Satoh Y, Navab N, Ilic S, Aoki Y (2015).  Extended co-occurrence HOG with dense trajectories for fine-grained activity recognition.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9007.  336-349.
  • Roy AG, Conjeti S, Carlier SG, Konig A, Kastrati A, Dutta PK, Laine AF, Navab N, Sheet D, Katouzian A (2015).  Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  428-431.
  • Pauly O, Diotte B, Fallavollita P, Weidert S, Euler E, Navab N (2015).  Machine learning-based augmented reality for improved surgical scene understanding.  Computerized Medical Imaging and Graphics.  41.  55-60.
  • Conjeti S, Yigitsoy M, Sheet D, Chatterjee J, Navab N, Katouzian A (2015).  Mutually coherent structural representation for image registration through joint manifold embedding and alignment.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  601-604.
  • Fallavollita P, Wang L, Weidert S, Navab N (2015).  Augmented reality in orthopaedic interventions and education.  Lecture Notes in Computational Vision and Biomechanics.  23.  251-269.
  • Yigitsoy M, Belagiannis V, Djurka A, Katouzian A, Ilic S, Pernus E, Eslami A, Navab N (2015).  Random ferns for multiple target tracking in microscopic retina image sequences.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  209-212.
  • Zimmermann J, Rashid S, Hu P, Katouzian A, Navab N, Ennis DB (2015).  Cardiac MRI derived epicardial fat maps to assist VT ablation procedures for subjects with implantable devices.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  747-750.
  • Hennersperger C, Baust M, Waelkens P, Karamalis A, Ahmadi SA, Navab N (2015).  Multi-scale tubular structure detection in ultrasound imaging.  IEEE Transactions on Medical Imaging.  34(1).  13-26.
  • Conjeti S, Yigitsoy M, Peng T, Sheet D, Chatterjee J, Bayer C, Navab N, Katouzian A (2015).  Deformable registration of immunofluorescence and histology using iterative cross-modal propagation.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  310-313.
  • Belagiannis V, Wang X, Schiele B, Fua P, Ilic S, Navab N (2015).  Multiple human pose estimation with temporally consistent 3D pictorial structures.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8925.  742-754.
  • Alsheakhali M, Yigitsoy M, Eslami A, Navab N (2015).  Surgical tool detection and tracking in retinal microsurgery.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9415.
  • Wang L, Belagiannis V, Marr C, Theis F, Yang GZ, Navab N (2015).  Anatomic-landmark detection using graphical context modelling.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  1304-1307.
  • Alsheakhali M, Yigitsoy M, Eslami A, Navab N (2015).  Real time medical instrument detection and tracking in microsurgery.  Informatik aktuell.  185-190.
  • Virga S, Dogeanu V, Fallavollita P, Ghotbi R, Navab N, Demirci S (2015).  Optimal C-arm positioning for aortic interventions.  Informatik aktuell.  53-58.
  • Lasser T, Gardiazabal J, Wieczorek M, Matthies P, Vogel J, Frisch B, Navab N (2015).  Towards 3D thyroid imaging using robotic mini gamma cameras.  Informatik aktuell.  0.  498-503.
  • Shi K, Cheng X, Navab N, Foerster S, Ziegler SI (2015).  PET/MRI/VCT: Restoration of virtual ct from transmission scan on PET/MRI using joint-anisotropic diffusion.  Lecture Notes in Computational Vision and Biomechanics.  22.  25-33.
  • Pölsterl S, Navab N, Katouzian A (2015).  Fast training of support vector machines for survival analysis.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9285.  243-259.
  • Maurer T, Weirich G, Schottelius M, Weineisen M, Frisch B, Okur A, Kübler H, Thalgott M, Navab N, Schwaiger M, Wester HJ, Gschwend JE, Eiber M (2015).  Prostate-specific Membrane Antigen-radioguided Surgery for Metastatic Lymph Nodes in Prostate Cancer.  European Urology.  68(3).  530-534.
  • Maurer T, Weirich G, Schottelius M, Weineisen M, Frisch B, Okur A, Kübler H, Thalgott M, Navab N, Schwaiger M, others (2015).  Prostate-specific Membrane Antigen-radioguided Surgery for Metastatic Lymph Nodes in Prostate Cancer.  European urology.  68(3).  530-534.
  • Zweng M, Fallavollita P, Demirci S, Kowarschik M, Navab N, Mateus D (2015).  Automatic guide-wire detection for neurointerventions using low-rank sparse matrix decomposition and denoising.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9365.  114-123.
  • Pinto F, Fuerst B, Frisch B, Navab N (2015).  Radiopositive tissue displacement compensation for SPECT-guided surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9350.  536-543.
  • Salehi M, Ahmadi SA, Prevost R, Navab N, Wein W (2015).  Patient-specific 3D ultrasound simulation based on convolutional ray-tracing and appearance optimization.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9350.  510-518.
  • Navab N, Hornegger J, Wells WM, Frangi AF (2015).  Medical image computing and computer-assisted intervention – MICCAI 2015: 18th international conference Munich, Germany, october 5-9, 2015 proceedings, Part II.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9350.
  • Navab N, Hornegger J, Wells WM, Frangi AF (2015).  Preface.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9350.  V-VI.
  • Mesbah S, Conjeti S, Kumaraswamy A, Rautenberg P, Navab N, Katouzian A (2015).  Hashing forests for morphological search and retrieval in neuroscientific image databases.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9350.  135-143.
  • Schulte Zu Berge C, Weiss J, Navab N (2015).  Schematic electrode map for navigation in neuro data sets.  Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2015.  195-204.
  • Hennersperger C, Baust M, Mateus D, Navab N (2015).  Computational sonography.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9350.  459-466.
  • Milletari F, Ahmadi SA, Kroll C, Hennersperger C, Tombari F, Shah A, Plate A, Boetzel K, Navab N (2015).  Robust segmentation of various anatomies in 3D ultrasound using hough forests and learned data representations.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9350.  111-118.
  • Esposito M, Busam B, Hennersperger C, Rackerseder J, Lu A, Navab N, Frisch B (2015).  Cooperative robotic gamma imaging: Enhancing US-guided needle biopsy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9350.  611-618.
  • Navab N, Hornegger J, Wells WM, Frangi AF (2015).  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015: 18th International Conference Munich, Germany, October 5-9, 2015 proceedings, part III.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9351.
  • Ahmadi S, Milletari F, Navab N, Schuberth M, Plate A, Bötzel K (2015).  3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study.  International journal of computer assisted radiology and surgery.  10(6).  891-900.
  • Kaiser H, Fallavollita P, Navab N (2015).  ‘On the fly’ reconstruction and tracking system for patient setup in radiation therapy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9365.  30-37.
  • Fuerst B, Mansi T, Carnis F, Salzle M, Zhang J, Declerck J, Boettger T, Bayouth J, Navab N, Kamen A (2015).  Patient-Specific Biomechanical Model for the Prediction of Lung Motion From 4-D CT Images.  Medical Imaging, IEEE Transactions on.  34(2).  599-607.
  • Navab N, Hornegger J, Wells WM, Frangi AF (2015).  Preface.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9351.  V-VI.
  • Kaiser H, Fallavollita P, Navab N (2015).  Real-time markerless respiratory motion management using thermal sensor data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9365.  61-68.
  • Carneiro G, Peng T, Bayer C, Navab N (2015).  Flexible and latent structured output learning: Application to histology.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9352.  220-228.
  • Loeb R, Navab N, Ziegler SI (2015).  Direct Parametric Reconstruction Using Anatomical Regularization for Simultaneous PET/MRI Data.  Medical Imaging, IEEE Transactions on.  34(11).  2233-2247.
  • Achilles F, Belagiannis V, Tombari F, Loesch A, Cunha J, Navab N, Noachtar S (2015).  Deep convolutional neural networks for automatic identification of epileptic seizures in infrared and depth images.  Journal of the Neurological Sciences.  357.  e436.
  • Sharma K, Peter L, Rupprecht C, Caroli A, Wang L, Remuzzi A, Baust M, Navab N (2015).  Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests.  arXiv preprint arXiv:1510.06915.
  • Ma M, Fallavollita P, Seelbach I, Heide AM, Euler E, Waschke J, Navab N (2015).  Personalized augmented reality for anatomy education.  Clinical Anatomy.
  • Holzer S, Ilic S, Tan D, Pollefeys M, Navab N (2015).  Efficient Learning of Linear Predictors for Template Tracking.  International Journal of Computer Vision.  111(1).  12-28.
  • Diotte B, Fallavollita P, Wang L, Weidert S, Euler E, Thaller P, Navab N (2015).  Multi-modal intra-operative navigation during distal locking of intramedullary nails.  Medical Imaging, IEEE Transactions on.  34(2).  487-495.
  • Ahmadi S, Plate A, Schuberth M, Milletari F, Navab N, Bötzel K (2015).  P116. DBS electrode imaging using 3D transcranial ultrasound-A feasibility study with first quantitative results.  Clinical Neurophysiology.  126(8).  e106-e107.
  • Belagiannis V, Amin S, Andriluka M, Schiele B, Navab N, Ilic S (2015).  3D Pictorial Structures Revisited: Multiple Human Pose Estimation.  IEEE.
  • Guha Roy A, Conjeti S, Carlier S, Dutta P, Kastrati A, Laine A, Navab N, Katouzian A, Sheet D (2015).  Lumen Segmentation in Intravascular Optical Coherence Tomography using Backscattering Tracked and Initialized Random Walks.  IEEE.
  • Londei R, Esposito M, Diotte B, Weidert S, Euler E, Thaller P, Navab N, Fallavollita P (2015).  Intra-operative augmented reality in distal locking.  International journal of computer assisted radiology and surgery.  10(9).  1395-1403.
  • Frisch B, Maurer T, Okur A, Weineisen M, Schottelius M, Kübler H, Navab N, Wester H, Schwaiger M, Eiber M (2015).  Freehand SPECT for 111In-PSMA-I&T radioguided lymphadenectomy in prostate cancer patients.  Journal of Nuclear Medicine.  56(supplement 3).  157-157.
  • Hartl A, Shakir DI, Lasser T, Ziegler SI, Navab N (2015).  Detection models for freehand SPECT reconstruction.  Physics in medicine and biology.  60(3).  1031.
  • Volpi D, Sarhan MH, Ghotbi R, Navab N, Mateus D, Demirci S (2015).  Online tracking of interventional devices for endovascular aortic repair.  International journal of computer assisted radiology and surgery.  10(6).  773-781.
  • Li S, Yao J, Navab N (2015).  Guest Editorial Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention.  Medical Imaging, IEEE Transactions on.  34(8).  1625-1626.
  • Da Gama A, Fallavollita P, Teichrieb V, Navab N (2015).  Motor rehabilitation using Kinect: A systematic review.  Games for health journal.  4(2).  123-135.
  • Hennersperger C, Baust M, Waelkens P, Karamalis A, Ahmadi S, Navab N (2015).  Multi-Scale Tubular Structure Detection in Ultrasound Imaging.  Medical Imaging, IEEE Transactions on.  34(1).  13-26.
  • Neumann D, Grbic S, John M, Navab N, Hornegger J, Ionasec R (2015).  Probabilistic Sparse Matching for Robust 3D/3D Fusion in Minimally Invasive Surgery.  Medical Imaging, IEEE Transactions on.  34(1).  49-60.
  • Pauly O, Diotte B, Fallavollita P, Weidert S, Euler E, Navab N (2015).  Machine learning-based augmented reality for improved surgical scene understanding.  Computerized Medical Imaging and Graphics.  41.  55-60.
  • Wein W, Karamalis A, Baumgartner A, Navab N (2015).  Automatic bone detection and soft tissue aware ultrasound-CT registration for computer-aided orthopedic surgery.  International journal of computer assisted radiology and surgery.  10(6).  971-979.
  • Frisch B, Storz E, Zettinig O, Shah A, Kübler H, Navab N, Wester H, Schwaiger M, Eiber M, Maurer T (2015).  PET/MRI/TRUS image fusion guided prostate biopsy: development of a research platform and initial clinical results.  Journal of Nuclear Medicine.  56(supplement 3).  510-510.
  • Vetter C, Lasser T, Okur A, Navab N (2015).  1D-3D Registration for Intra-Operative Nuclear Imaging in Radio-Guided Surgery.  Medical Imaging, IEEE Transactions on.  34(2).  608-617.
  • Pölsterl S, Singh M, Katouzian A, Navab N, Kastrati A, Ladic L, Kamen A (2015).  Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects.  BMC medical informatics and decision making.  15(1).  1.
  • Belagiannis V, Rupprecht C, Carneiro G, Navab N (2015).  Robust Optimization for Deep Regression.  arXiv preprint arXiv:1505.06606.
  • Cheng X, Li Z, Liu Z, Navab N, Huang S, Keller U, Ziegler SI, Shi K (2015).  Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging.  Medical Imaging, IEEE Transactions on.  34(7).  1498-1512.
  • Schulte Zu Berge C, Baust M, Kapoor A, Navab N (2014).  Predicate-based focus-and-context visualization for 3D ultrasound.  IEEE Transactions on Visualization and Computer Graphics.  20(12).  2379-2387.
  • Wang X, Schulte Zu Berge C, Demirci S, Fallavollita P, Navab N (2014).  Improved interventional X-ray appearance.  ISMAR 2014 - IEEE International Symposium on Mixed and Augmented Reality - Science and Technology 2014, Proceedings.  237-242.
  • Martin-Gonzalez A, Kotliar K, Rios-Martinez J, Lanzl I, Navab N (2014).  Mediated-reality magnification for macular degeneration rehabilitation.  Journal of Modern Optics.  61(17).  1400-1408.
  • Wucherer P, Stefan P, Weidert S, Fallavollita P, Navab N (2014).  Task and crisis analysis during surgical training.  International Journal of Computer Assisted Radiology and Surgery.  9(5).  785-794.
  • Rieke N, Hennersperger C, Mateus D, Navab N (2014).  Ultrasound interactive segmentation with tensor-graph methods.  2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014.  690-693.
  • Sheet D, Banerjee S, Karri SPK, Bag S, Anura A, Giri A, Paul RR, Pal M, Sarkar BC, Ghosh R, Katouzian A, Navab N, Ray AK (2014).  Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa.  2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014.  1389-1392.
  • Chen X, Chen Y, Schuller JM, Navab N, Förster F (2014).  Automatic particle picking and multi-class classification in cryo-electron tomograms.  2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014.  838-841.
  • Gutierrez B, Mateus D, Shiban E, Meyer B, Lehmberg J, Navab N (2014).  A sparse approach to build shape models with routine clinical data.  2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014.  258-261.
  • Duliu A, Gardiazabal J, Lasser T, Navab N (2014).  Reproducible high-resolution multispectral image acquisition in dermatology.  Optics InfoBase Conference Papers.
  • Sheet D, Karamalis A, Eslami A, Noël P, Virmani R, Nakano M, Chatterjee J, Ray AK, Laine AF, Carlier SG, Navab N, Katouzian A (2014).  Hunting for necrosis in the shadows of intravascular ultrasound.  Computerized Medical Imaging and Graphics.  38(2).  104-112.
  • Zettinig O, Hennersperger C, Schulte Zu Berge C, Baust M, Navab N (2014).  3D velocity field and flow profile reconstruction from arbitrarily sampled Doppler ultrasound data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8674 LNCS(PART 2).  611-618.
  • Gardiazabal J, Esposito M, Matthies P, Okur A, Vogel J, Kraft S, Frisch B, Lasser T, Navab N (2014).  Towards personalized interventional SPECT-CT imaging.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8673 LNCS(PART 1).  504-511.
  • Fallavollita P, Winkler A, Habert S, Wucherer P, Stefan P, Mansour R, Ghotbi R, Navab N (2014).  Desired-view - Controlled positioning of angiographic C-arms.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8674 LNCS(PART 2).  659-666.
  • Baust M, Zikic D, Navab N (2014).  Variational level set segmentation in Riemannian Sobolev spaces.  BMVC 2014 - Proceedings of the British Machine Vision Conference 2014.
  • Tan DJ, Holzer S, Navab N, Ilic S (2014).  Deformable template tracking in 1MS.  BMVC 2014 - Proceedings of the British Machine Vision Conference 2014.
  • Klinker G, Navab N (2014).  Message from the general chairs.  ISMAR 2014 - IEEE International Symposium on Mixed and Augmented Reality - Science and Technology 2014, Proceedings.  x.
  • Fallavollita P, Winkler A, Habert S, Wucherer P, Stefan P, Mansour R, Ghotbi R, Navab N (2014).  Desired-View--controlled positioning of angiographic C-arms.  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  17.  659-666.
  • Benz T, Kowarschik M, Endres J, Maday P, Redel T, Navab N (2014).  Estimation of contrast agent motion from cerebral angiograms for assessing hemodynamic alterations following aneurysm treatment by flow diversion.  IFMBE Proceedings.  41.  475-478.
  • Hennersperger C, Mateus D, Baust M, Navab N (2014).  A quadratic energy minimization framework for signal loss estimation from arbitrarily sampled ultrasound data.  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  17.  373-380.
  • Londei R, Esposito M, Diotte B, Weidert S, Euler E, Thaller P, Navab N, Fallavollita P (2014).  The 'augmented' circles: A video-guided solution for the down-the-beam positioning of im nail holes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8498 LNCS.  100-107.
  • Belagiannis V, Amann C, Navab N, Ilic S (2014).  Holistic human pose estimation with regression forests.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8563 LNCS.  20-30.
  • Peter L, Mateus D, Chatelain P, Schworm N, Stangl S, Multhoff G, Navab N (2014).  Leveraging random forests for interactive exploration of large histological images..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  17(Pt 1).  1-8.
  • Holzer S, Ilic S, Tan D, Pollefeys M, Navab N (2014).  Efficient Learning of Linear Predictors for Template Tracking.  International Journal of Computer Vision.  111(1).  12-28.
  • Milletari F, Belagiannis V, Navab N, Fallavollita P (2014).  Fully automatic catheter localization in C-arm images using ℓ1-sparse coding.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8674 LNCS(PART 2).  570-577.
  • Vogel J, Duliu A, Oyamada Y, Gardiazabal J, Lasser T, Ziai M, Hein R, Navab N (2014).  Towards robust identification and tracking of nevi in sparse photographic time series.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9035.
  • Zettinig O, Hennersperger C, Schulte Zu Berge C, Baust M, Navab N (2014).  3D velocity field and flow profile reconstruction from arbitrarily sampled Doppler ultrasound data.  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  17.  611-618.
  • Berge CSZ, Kapoor A, Navab N (2014).  Orientation-driven ultrasound compounding using uncertainty information.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8498 LNCS.  236-245.
  • Stauder R, Okur A, Peter L, Schneider A, Kranzfelder M, Feussner H, Navab N (2014).  Random forests for phase detection in surgical workflow analysis.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8498 LNCS.  148-157.
  • Vigh B, Müller S, Ristow O, Deppe H, Holdstock S, Den Hollander J, Navab N, Steiner T, Hohlweg-Majert B (2014).  The use of a head-mounted display in oral implantology: A feasibility study.  International Journal of Computer Assisted Radiology and Surgery.  9(1).  71-78.
  • Kehl W, Navab N, Ilic S (2014).  Coloured signed distance fields for full 3D object reconstruction.  BMVC 2014 - Proceedings of the British Machine Vision Conference 2014.
  • Mori K, Sato Y, Barillot C, Navab N (2014).  Editorial for the MEDIA special issue on MICCAI 2013.  Medical Image Analysis.  18(8).  1261.
  • Brosig R, Kowarschik M, Maday P, Katouzian A, Demirci S, Navab N (2014).  Blood flow quantification using 1D CFD parameter identification.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9034.
  • Oda M, Kondo H, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K (2014).  Colonoscope navigation system using colonoscope tracking method based on line registration.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9036.
  • Pauly O, Diotte B, Habert S, Weidert S, Euler E, Fallavollita P, Navab N (2014).  Relevance-based visualization to improve surgeon perception.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8498 LNCS.  178-185.
  • Castañeda V, Mateus D, Navab N (2014).  Stereo time-of-flight with constructive interference.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  36(7).  1402-1413.
  • Sheet D, Karamalis A, Eslami A, Noël P, Chatterjee J, Ray AK, Laine AF, Carlier SG, Navab N, Katouzian A (2014).  Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound.  Medical Image Analysis.  18(1).  103-117.
  • Kraft S, Conjeti S, Noël PB, Carlier S, Navab N, Katouzian A (2014).  Full-wave intravascular ultrasound simulation from histology.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8674 LNCS(PART 2).  627-634.
  • Peng T, Yigitsoy M, Eslami A, Bayer C, Navab N (2014).  Deformable registration of multi-modal microscopic images using a pyramidal interactive registration-learning methodology.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8545 LNCS.  144-153.
  • Zettinig O, Mansi T, Neumann D, Georgescu B, Rapaka S, Seegerer P, Kayvanpour E, Sedaghat-Hamedani F, Amr A, Haas J, Steen H, Katus H, Meder B, Navab N, Kamen A, Comaniciu D (2014).  Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals.  Medical Image Analysis.  18(8).  1361-1376.
  • Hennersperger C, Karamalis A, Navab N (2014).  Vascular 3D+T freehand ultrasound using correlation of doppler and pulse-oximetry data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8498 LNCS.  68-77.
  • Benz T, Kowarschik M, Endres J, Redel T, Demirci S, Navab N (2014).  A fourier-based approach to the angiographic assessment of flow diverter efficacy in the treatment of cerebral aneurysms.  IEEE Transactions on Medical Imaging.  33(9).  1788-1802.
  • Shah A, Zettinig O, Maurer T, Precup C, Schulte Zu Berge C, Weiss J, Frisch B, Navab N (2014).  An Open Source Multimodal Image-Guided Prostate Biopsy Framework.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8680.
  • Ralovich K, John M, Camus E, Navab N, Heimann T (2014).  6DoF catheter detection, application to intracardiac echocardiography.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8674 LNCS(PART 2).  635-642.
  • Kraft S, Conjeti S, Noél PB, Carlier S, Navab N, Katouzian A (2014).  Full-wave intravascular ultrasound simulation from histology.  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  17.  627-634.
  • Müller M, Yigitsoy M, Heibel H, Navab N (2014).  Deformable reconstruction of histology sections using structural probability maps.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8673 LNCS(PART 1).  122-129.
  • Huang CH, Boyer E, Navab N, Ilic S (2014).  Human shape and pose tracking using keyframes.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  3446-3453.
  • Fuerst B, Wein W, Müller M, Navab N (2014).  Automatic ultrasound-MRI registration for neurosurgery using the 2D and 3D LC2 Metric.  Medical Image Analysis.  18(8).  1312-1319.
  • Hennersperger C, Mateus D, Baust M, Navab N (2014).  A quadratic energy minimization framework for signal loss estimation from arbitrarily sampled ultrasound data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8674 LNCS(PART 2).  373-380.
  • Chen X, Naik H, Wang L, Navab N, Fallavollita P (2014).  Video-guided calibration of an augmented reality mobile C-arm.  International Journal of Computer Assisted Radiology and Surgery.  9(6).  987-996.
  • Demirci S, Manstad-Hulaas F, Navab N (2014).  Interventional 2D-3D registration in the presence of occlusion.  IFMBE Proceedings.  41.  277-280.
  • Matthies P, Gardiazabal J, Okur A, Vogel J, Lasser T, Navab N (2014).  Mini gamma cameras for intra-operative nuclear tomographic reconstruction.  Medical Image Analysis.  18(8).  1329-1336.
  • Klinker G, Navab N (2014).  Message from the general chairs.  ISMAR 2014 - IEEE International Symposium on Mixed and Augmented Reality - Media, Arts, Social Science, Humanities and Design 2014, Proceedings.
  • Peng T, Wang L, Bayer C, Conjeti S, Baust M, Navab N (2014).  Shading correction for whole slide image using low rank and sparse decomposition.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8673 LNCS(PART 1).  33-40.
  • Wang J, Kreiser M, Wang L, Navab N, Fallavollita P (2014).  Augmented depth perception visualization in 2D/3D image fusion.  Computerized Medical Imaging and Graphics.  38(8).  744-752.
  • Kehl W, Navab N, Ilic S (2014).  Coloured signed distance fields for full 3D object reconstruction.  BMVC 2014 - Proceedings of the British Machine Vision Conference 2014.
  • Müller M, Helljesen LES, Prevost R, Viola I, Nylund K, Gilja OH, Navab N, Wein W (2014).  Deriving anatomical context from 4D ultrasound.  Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2014.  173-180.
  • Baust M, Zikic D, Navab N (2014).  Variational level set segmentation in Riemannian Sobolev spaces.  BMVC 2014 - Proceedings of the British Machine Vision Conference 2014.
  • Azizi Koutenaei B, Guler O, Wilson E, Thoranaghatte RU, Oetgen M, Navab N, Cleary K (2014).  Improved screw placement for Slipped Capital Femoral Epiphysis (SCFE) using robotically-assisted drill guidance.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8673 LNCS(PART 1).  488-495.
  • Ralovich K, John M, Camus E, Navab N, Heimann T (2014).  6DoF catheter detection, application to intracardiac echocardiography.  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  17.  635-642.
  • Stefan P, Wucherer P, Oyamada Y, Ma M, Schoch A, Kanegae M, Shimizu N, Kodera T, Cahier S, Weigl M, Sugimoto M, Fallavollita P, Saito H, Navab N (2014).  An AR edutainment system supporting bone anatomy learning.  Proceedings - IEEE Virtual Reality.  113-114.
  • Belagiannis V, Amin S, Andriluka M, Schiele B, Navab N, Ilic S (2014).  3D pictorial structures for multiple human pose estimation.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1669-1676.
  • Peng T, Wang L, Bayer C, Conjeti S, Baust M, Navab N (2014).  Shading correction for whole slide image using low rank and sparse decomposition.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8673 LNCS(PART 1).  33-40.
  • Milletari F, Belagiannis V, Navab N, Fallavollita P (2014).  Fully automatic catheter localization in C-arm images using ł1-sparse coding.  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  17.  570-577.
  • Yigitsoy M, Fotouhi J, Navab N (2014).  Hough space parametrization: Ensuring global consistency in intensity-based registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8673 LNCS(PART 1).  275-282.
  • Maday P, Brosig R, Endres J, Kowarschik M, Navab N (2014).  Blood flow quantification using optical flow methods in a body fitted coordinate system.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9034.
  • Okur A, Hennersperger C, Runyan B, Gardiazabal J, Keicher M, Paepke S, Wendler T, Navab N (2014).  fhSPECT-US guided needle biopsy of sentinel lymph nodes in the axilla: Is it feasible?.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8673 LNCS(PART 1).  577-584.
  • Peter L, Mateus D, Chatelain P, Schworm N, Stangl S, Multhoff G, Navab N (2014).  Leveraging random forests for interactive exploration of large histological images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8673 LNCS(PART 1).  1-8.
  • Meng M, Fallavollita P, Blum T, Eck U, Sandor C, Weidert S, Waschke J, Navab N (2013).  Kinect for interactive AR anatomy learning.  2013 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2013.  277-278.
  • Mori K, Sakuma I, Sato Y, Barillot C, Navab N (2013).  Preface. The 16th international conference on medical image computing and computer-assisted intervention-MICCAI 2013..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16(Pt 1).
  • Sheet D, Chaudhary A, Krishna Karri SP, Das D, Katouzian A, Banerjee P, Navab N, Chatterjee J, Ray AK (2013).  In situ histology of mice skin through transfer learning of tissue energy interaction in optical coherence tomography.  Journal of Biomedical Optics.  18(9).
  • Matthies P, Okur A, Wendler T, Navab N, Friebe M (2013).  Combination of intra-operative freehand SPECT imaging with MR images for guidance and navigation.  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS.  3383-3386.
  • Grbic S, Mansi T, Ionasec R, Voigt I, Houle H, John M, Schoebinger M, Navab N, Comaniciu D (2013).  Image-based computational models for TAVI planning: From CT images to implant deployment.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8150 LNCS(PART 2).  395-402.
  • Milletari F, Navab N, Fallavollita P (2013).  Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8151 LNCS(PART 3).  371-379.
  • Cheng X, Navab N, Ziegler SI, Shi K (2013).  Direct parametric image reconstruction of rapid multi-tracer PET.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8151 LNCS(PART 3).  155-162.
  • Chatelain P, Pauly O, Peter L, Ahmadi SA, Plate A, Bötzel K, Navab N (2013).  Learning from multiple experts with random forests: Application to the segmentation of the midbrain in 3D ultrasound.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8150 LNCS(PART 2).  230-237.
  • Müller M, Karamalis A, Navab N (2013).  Visualization of organ motion during breathing from 4D datasets.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7815 LNCS.  34-44.
  • Wein W, Ladikos A, Fuerst B, Shah A, Sharma K, Navab N (2013).  Global registration of ultrasound to MRI using the LC2 metric for enabling neurosurgical guidance.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8149 LNCS(PART 1).  34-41.
  • Matthies P, Sharma K, Okur A, Gardiazabal J, Vogel J, Lasser T, Navab N (2013).  First use of mini gamma cameras for intra-operative robotic SPECT reconstruction.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8149 LNCS(PART 1).  163-170.
  • Neumann D, Grbic S, John M, Navab N, Hornegger J, Ionasec R (2013).  Robust model-based 3D/3D fusion using sparse matching for minimally invasive surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8149 LNCS(PART 1).  171-178.
  • Zettinig O, Mansi T, Georgescu B, Kayvanpour E, Sedaghat-Hamedani F, Amr A, Haas J, Steen H, Meder B, Katus H, Navab N, Kamen A, Comaniciu D (2013).  Fast data-driven calibration of a cardiac electrophysiology model from images and ECG.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8149 LNCS(PART 1).  1-8.
  • Aichert A, Wieczorek M, Wang J, Kreiser M, Wang L, Fallavollita P, Navab N (2013).  The colored x-rays.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7815 LNCS.  45-54.
  • Vogel J, Lasser T, Gardiazabal J, Navab N (2013).  Trajectory optimization for intra-operative nuclear tomographic imaging.  Medical Image Analysis.  17(7).  723-731.
  • Yigitsoy M, Navab N (2013).  Structure propagation for image registration.  IEEE Transactions on Medical Imaging.  32(9).  1657-1670.
  • Grbic S, Ionasec R, Mansi T, Georgescu B, Vega-Higuera F, Navab N, Comaniciu D (2013).  Advanced intervention planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using volumetric models.  Proceedings - International Symposium on Biomedical Imaging.  1424-1427.
  • Reichl T, Gardiazabal J, Navab N (2013).  Electromagnetic servoing - A new tracking paradigm.  IEEE Transactions on Medical Imaging.  32(8).  1526-1535.
  • Zettinig O, Mansi T, Georgescu B, Rapaka S, Kamen A, Haas J, Frese KS, Sedaghat-Hamedani F, Kayvanpour E, Amr A, Hardt S, Mereles D, Steen H, Keller A, Katus HA, Meder B, Navab N, Comaniciu D (2013).  From medical images to fast computational models of heart electromechanics: An integrated framework towards clinical use.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7945 LNCS.  249-258.
  • Gardiazabal J, Reichl T, Okur A, Lasser T, Navab N (2013).  First flexible robotic intra-operative nuclear imaging for image-guided surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7915 LNCS.  81-90.
  • Wucherer P, Stefan P, Weidert S, Fallavollita P, Navab N (2013).  Development and procedural evaluation of immersive medical simulation environments.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7915 LNCS.  1-10.
  • Aksoy T, Demirci S, Degertekin M, Navab N, Unal G (2013).  Template-based CTA X-ray angio rigid registration of coronary arteries in frequency domain.  Proceedings of SPIE - The International Society for Optical Engineering.  8671.
  • Erat O, Pauly O, Weidert S, Thaller P, Euler E, Mutschler W, Navab N, Fallavollita P (2013).  How a surgeon becomes superman by visualization of intelligently fused multi-modalities.  Proceedings of SPIE - The International Society for Optical Engineering.  8671.
  • Pati S, Erat O, Wang L, Weidert S, Euler E, Navab N, Fallavollita P (2013).  Accurate pose estimation using single marker single camera calibration system.  Proceedings of SPIE - The International Society for Optical Engineering.  8671.
  • Kraft S, Karamalis A, Sheet D, Drecoll E, Rummeny EJ, Navab N, Noël PB, Katouzian A (2013).  Introducing nuclei scatterer patterns into histology based intravascular ultrasound simulation framework.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  8675.
  • Sheet D, Karamalis A, Kraft S, Noël PB, Vag T, Sadhu A, Katouzian A, Navab N, Chatterjee J, Ray AK (2013).  Random forest learning of ultrasonic statistical physics and object spaces for lesion detection in 2D sonomammography.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  8675.
  • Moghaddam MJ, Eslami A, Navab N (2013).  DEeP Random Walks.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  8669.
  • Taki A, Roodaki A, Setarehdan SK, Avansari S, Unal G, Navab N (2013).  An IVUS image-based approach for improvement of coronary plaque characterization.  Computers in Biology and Medicine.  43(4).  268-280.
  • Demirci S, Baust M, Kutter O, Manstad-Hulaas F, Eckstein HH, Navab N (2013).  Disocclusion-based 2D-3D registration for aortic interventions.  Computers in Biology and Medicine.  43(4).  312-322.
  • Hinterstoisser S, Lepetit V, Ilic S, Holzer S, Bradski G, Konolige K, Navab N (2013).  Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7724 LNCS(PART 1).  548-562.
  • Holzer S, Ilic S, Tan DJ, Navab N (2013).  Efficient learning of linear predictors using dimensionality reduction.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7726 LNCS(PART 3).  15-28.
  • Wachinger C, Navab N (2013).  Simultaneous registration of multiple images: Similarity metrics and efficient optimization.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  35(5).  1221-1233.
  • Aubry N, Auffray E, Mimoun FB, Brillouet N, Bugalho R, Charbon E, Charles O, Cortinovis D, Courday P, Cserkaszky A, Damon C, Doroud K, -M Fischer J, Fornaro G, Fourmigue JM, Frisch B, Fürst B, Gardiazabal J, Gadow K, Garutti E, Gaston C, Gil-Ortiz A, Guedj E, Harion T, Jarron P, Kabadanian J, Lasser T, Laugier R, Lecoq P, Lombardo D, Mandai S, Mas E, Meyer T, Mundler O, Navab N, Ortigão C, Paganoni M, Perrodin D, Pizzichemi M, Prior JO, Reichl T, Reinecke M, Rolo M, -C Schultz-Coulon H, Schwaiger M, Shen W, Silenzi A, Silva JC, Silva R, Somlai Schweiger I, Stamen R, Traub J, Varela J, Veckalns V, Vidal V, Vishwas J, Wendler T, Xu C, Ziegler S, Zvolsky M (2013).  EndoTOFPET-US: A novel multimodal tool for endoscopy and positron emission tomography.  Journal of Instrumentation.  8(4).
  • Blum T, Rieger A, Navab N, Friess H, Martignoni M (2013).  A review of computer-based simulators for ultrasound training.  Simulation in Healthcare.  8(2).  98-108.
  • Peter L, Pauly O, Jansen SBG, Smethurst PA, Ouwehand WH, Navab N (2013).  Automatic event detection within thrombus formation based on integer programming.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7766 LNCS.  215-224.
  • Heibel H, Glocker B, Groher M, Pfister M, Navab N (2013).  Interventional tool tracking using discrete optimization.  IEEE Transactions on Medical Imaging.  32(3).  544-555.
  • Linte CA, Davenport KP, Cleary K, Peters C, Vosburgh KG, Navab N, Edwards PE, Jannin P, Peters TM, Holmes DR, Robb RA (2013).  On mixed reality environments for minimally invasive therapy guidance: Systems architecture, successes and challenges in their implementation from laboratory to clinic.  Computerized Medical Imaging and Graphics.  37(2).  83-97.
  • Eslami A, Karamalis A, Katouzian A, Navab N (2013).  Segmentation by retrieval with guided random walks: Application to left ventricle segmentation in MRI.  Medical Image Analysis.  17(2).  236-253.
  • Zettinig O, Mansi T, Georgescu B, Kayvanpour E, Sedaghat-Hamedani F, Amr A, Haas J, Steen H, Meder B, Katus H, Navab N, Kamen A, Comaniciul D (2013).  Fast data-driven calibration of a cardiac electrophysiology model from images and ECG..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16(Pt 1).  1-8.
  • Mori K, Sakuma I, Sato Y, Barillot C, Navab N (2013).  Preface. The 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 was held in Nagoya, Japan during September 22-26, 2013.  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16.  V-X.
  • Chen X, Wang L, Fallavollita P, Navab N (2013).  Precise X-ray and video overlay for augmented reality fluoroscopy.  International Journal of Computer Assisted Radiology and Surgery.  8(1).  29-38.
  • Bauer S, Seitel A, Hofmann H, Blum T, Wasza J, Balda M, Meinzer HP, Navab N, Hornegger J, Maier-Hein L (2013).  Real-time range imaging in health care: A survey.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8200 LNCS.  228-254.
  • Reichl T, Luo X, Menzel M, Hautmann H, Mori K, Navab N (2013).  Hybrid electromagnetic and image-based tracking of endoscopes with guaranteed smooth output.  International Journal of Computer Assisted Radiology and Surgery.  8(6).  955-965.
  • Mori K, Sakuma I, Sato Y, Barillot C, Navab N (2013).  Medical Image Computing and Computer-Assisted Intervention –MICCAI2013: 16th International Conference Nagoya, Japan, September 22-26, 2013 Proceedings, Part III.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8151.
  • Holzer S, Ilic S, Navab N (2013).  Multilayer adaptive linear predictors for real-time tracking.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  35(1).  105-117.
  • Aksoy T, Unal G, Demirci S, Navab N, Degertekin M (2013).  Template-based CTA to x-ray angio rigid registration of coronary arteries in frequency domain with automatic x-ray segmentation.  Medical Physics.  40(10).
  • Okur A, Shakir DI, Matthies P, Hartl A, Ziegler SI, Essler M, Lasser T, Navab N (2013).  Freehand tomographic nuclear imaging using tracked high-energy gamma probes.  Informatik aktuell.  362-367.
  • Mori K, Sakuma I, Sato Y, Barillot C, Navab N (2013).  Preface.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8151.  V-VIII.
  • Blume M, Navab N, Rafecas M (2012).  Joint image and motion reconstruction for PET using a B-spline motion model.  Physics in Medicine and Biology.  57(24).  8249-8270.
  • Ladikos A, Boyer E, Navab N, Ilic S (2012).  Region graphs for organizing image collections.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6554 LNCS(PART 2).  239-252.
  • Beitzel J, Ahmadi SA, Karamalis A, Wein W, Navab N (2012).  Ultrasound bone detection using patient-specific CT prior.  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS.  2664-2667.
  • Reichl T, Gergel I, Menzel M, Hautmann H, Wegner I, Meinzer HP, Navab N (2012).  Motion compensation for bronchoscope navigation using electromagnetic tracking, airway segmentation, and image similarity.  Informatik aktuell.  45-50.
  • Ahmadi SA, Klein T, Plate A, Boetzel K, Navab N (2012).  Rigid US-MRI registration through segmentation of equivalent anatomic structures a feasibility study using 3D transcranial ultrasound of the midbrain.  Informatik aktuell.  410-415.
  • Pauly O, Katouzian A, Eslami A, Fallavollita P, Navab N (2012).  Supervised classification for customized intraoperative augmented reality visualization.  ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers.  311-312.
  • Chekkoury A, Khurd P, Ni J, Bahlmann C, Kamen A, Patel A, Grady L, Singh M, Groher M, Navab N, Krupinski E, Johnson J, Graham A, Weinstein R (2012).  Automated malignancy detection in breast histopathological images.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  8315.
  • Plate A, Ahmadi SA, Pauly O, Klein T, Navab N, Bötzel K (2012).  Three-Dimensional Sonographic Examination of the Midbrain for Computer-Aided Diagnosis of Movement Disorders.  Ultrasound in Medicine and Biology.  38(12).  2041-2050.
  • Wang J, Fallavollita P, Wang L, Kreiser M, Navab N (2012).  Augmented reality during angiography: Integration of a virtual mirror for improved 2D/3D visualization.  ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers.  257-264.
  • Katouzian A, Karamalis A, Laine A, Navab N (2012).  A systematic approach toward reliable atherosclerotic plaque characterization in IVUS images.  Informatik aktuell.  21-26.
  • Holzer S, Rusu RB, Dixon M, Gedikli S, Navab N (2012).  Adaptive neighborhood selection for real-time surface normal estimation from organized point cloud data using integral images.  IEEE International Conference on Intelligent Robots and Systems.  2684-2689.
  • Blum T, Stauder R, Euler E, Navab N (2012).  Superman-like X-ray vision: Towards brain-computer interfaces for medical augmented reality.  ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers.  271-272.
  • Yigitsoy M, Kirchhoff S, Reiser MF, Navab N (2012).  Out-of-plane motion compensation in cine-MRI.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7601 LNCS.  107-115.
  • Katouzian A, Karamalis A, Sheet D, Konofagou E, Baseri B, Carlier SG, Eslami A, König A, Navab N, Laine AF (2012).  Iterative self-organizing atherosclerotic tissue labeling in intravascular ultrasound images and comparison with virtual histology.  IEEE Transactions on Biomedical Engineering.  59(11 PART1).  3039-3049.
  • Baust M, Yezzi A, Unal G, Navab N (2012).  Translation, scale, and deformationweighted polar active contours.  Journal of Mathematical Imaging and Vision.  44(3).  354-365.
  • Holzer S, Pollefeys M, Ilic S, Tan DJ, Navab N (2012).  Online learning of linear predictors for real-time tracking.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7572 LNCS(PART 1).  470-483.
  • Belagiannis V, Schubert F, Navab N, Ilic S (2012).  Segmentation based particle filtering for real-time 2D object tracking.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7575 LNCS(PART 4).  842-855.
  • Wachinger C, Navab N (2012).  A contextual maximum likelihood framework for modeling image registration.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1995-2002.
  • Katouzian A, Angelini ED, Carlier SG, Suri JS, Navab N, Laine AF (2012).  A state-of-the-art review on segmentation algorithms in intravascular ultrasound (IVUS) images.  IEEE Transactions on Information Technology in Biomedicine.  16(5).  823-834.
  • Fuerst B, Mansi T, Khurd P, Zhang J, Declerck J, Boettger T, Navab N, Bayouth J, Kamen A (2012).  Patient-specific finite-element simulation of respiratory mechanics for radiotherapy guidance, a first evaluation study.  Proceedings - International Symposium on Biomedical Imaging.  1212-1215.
  • Peter L, Brieu N, Jansen S, Smethurst PA, Ouwehand WH, Navab N (2012).  Automatic segmentation and tracking of thrombus formation within in vitro microscopic video sequences.  Proceedings - International Symposium on Biomedical Imaging.  1635-1638.
  • Abdurahman S, Jerebko A, Mertelmeier T, Lasser T, Navab N (2012).  Out-of-plane artifact reduction in tomosynthesis based on regression modeling and outlier detection.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7361 LNCS.  729-736.
  • Karamalis A, Katouzian A, Carlier S, Navab N (2012).  Confidence estimation in IVUS radio-frequency data with random walks.  Proceedings - International Symposium on Biomedical Imaging.  1068-1071.
  • Klein T, Hansson M, Karamalis A, Navab N (2012).  Registration of RF ultrasound data using hybrid local binary patterns.  Proceedings - International Symposium on Biomedical Imaging.  1072-1075.
  • Eslami A, Teimori A, Yigitsoy M, Navab N (2012).  A new framework for morphological and morphometric study of fish species based on groupwise registration of otolith images.  Proceedings - International Symposium on Biomedical Imaging.  1679-1682.
  • Yigitsoy M, Reiser MF, Navab N, Kirchhoff S (2012).  Dynamic graph cuts for colon segmentation in functional cine-MRI.  Proceedings - International Symposium on Biomedical Imaging.  1268-1271.
  • Grbic S, Gesell C, Lonasec R, John M, Boese J, Hornegger J, Navab N, Cotnaniciu D (2012).  Model-based fusion of CT and non-contrasted 3D C-arm CT: Application to transcatheter valve therapies.  Proceedings - International Symposium on Biomedical Imaging.  1192-1195.
  • Chen Y, Hrabe T, Pfeffer S, Pauly O, Mateus D, Navab N, Förster F (2012).  Detection and identification of macromolecular complexes in cryo-electron tomograms using support vector machines.  Proceedings - International Symposium on Biomedical Imaging.  1373-1376.
  • Karamalis A, Wein W, Klein T, Navab N (2012).  Ultrasound confidence maps using random walks.  Medical Image Analysis.  16(6).  1101-1112.
  • Wachinger C, Klein T, Navab N (2012).  The 2D analytic signal for envelope detection and feature extraction on ultrasound images.  Medical Image Analysis.  16(6).  1073-1084.
  • Bigdelou A, Okur A, Hoffmann ME, Azizi B, Navab N (2012).  Towards systematic usability evaluations for the OR: An introduction to OR-use framework.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7330 LNCS.  146-156.
  • Katouzian A, Karamalis A, Lisauskas J, Eslami A, Navab N (2012).  IVUS-histology image registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7359 LNCS.  141-149.
  • Navab N, Blum T, Wang L, Okur A, Wendler T (2012).  First deployments of augmented reality in operating rooms.  Computer.  45(7).  48-55.
  • Grbic S, Ionasec R, Vitanovski D, Voigt I, Wang Y, Georgescu B, Navab N, Comaniciu D (2012).  Complete valvular heart apparatus model from 4D cardiac CT.  Medical Image Analysis.  16(5).  1003-1014.
  • Bigdelou A, Benz T, Schwarz L, Navab N (2012).  Simultaneous categorical and spatio-temporal 3D gestures using Kinect.  IEEE Symposium on 3D User Interfaces 2012, 3DUI 2012 - Proceedings.  53-60.
  • Blum T, Kleeberger V, Bichlmeier C, Navab N (2012).  Mirracle: An augmented reality magic mirror system for anatomy education.  Proceedings - IEEE Virtual Reality.  115-116.
  • Blum T, Kleeberger V, Bichlmeier C, Navab N (2012).  Mirracle: Augmented reality in-situ visualization of human anatomy using a magic mirror.  Proceedings - IEEE Virtual Reality.  169-170.
  • Wang L, Fallavollita P, Zou R, Chen X, Weidert S, Navab N (2012).  Closed-form inverse kinematics for interventional C-Arm X-Ray imaging with six degrees of freedom: Modeling and application.  IEEE Transactions on Medical Imaging.  31(5).  1086-1099.
  • Shakir DI, Hartl A, Schneider FR, Pulko J, Ziegler SI, Navab N, Lasser T (2012).  Two new ad-hoc models of detection physics and their evaluation for navigated beta probe surface imaging.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  8316.
  • Hartl A, Shakir DI, Kojchev R, Navab N, Ziegler SI, Lasser T (2012).  Freehand SPECT reconstructions using look up tables.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  8316.
  • Reichl T, Gergel I, Menzel M, Hautmann H, Wegner I, Meinzer HP, Navab N (2012).  Real-time motion compensation for EM bronchoscope tracking with smooth output - Ex-vivo validation.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  8316.
  • Brieu N, Navab N, Serbanovic-Canic J, Ouwehand WH, Stemple DL, Cvejic A, Groher M (2012).  Image-based characterization of thrombus formation in time-lapse DIC microscopy.  Medical Image Analysis.  16(4).  915-931.
  • Chen X, Wang L, Fallavollita P, Navab N (2012).  Error analysis of the X-ray projection geometry of camera-augmented mobile C-arm.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  8316.
  • Wachinger C, Yigitsoy M, Rijkhorst EJ, Navab N (2012).  Manifold learning for image-based breathing gating in ultrasound and MRI.  Medical Image Analysis.  16(4).  806-818.
  • Bigdelou A, Schwarz LA, Benz T, Navab N (2012).  A flexible platform for developing context-aware 3D gesture-based interfaces.  International Conference on Intelligent User Interfaces, Proceedings IUI.  335-336.
  • Bigdelou A, Schwarz LA, Navab N (2012).  An adaptive solution for intra-operative gesture-based human-machine interaction.  International Conference on Intelligent User Interfaces, Proceedings IUI.  75-83.
  • Hinterstoisser S, Cagniart C, Ilic S, Sturm P, Navab N, Fua P, Lepetit V (2012).  Gradient response maps for real-time detection of textureless objects.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  34(5).  876-888.
  • Padoy N, Blum T, Ahmadi SA, Feussner H, Berger MO, Navab N (2012).  Statistical modeling and recognition of surgical workflow.  Medical Image Analysis.  16(3).  632-641.
  • Wachinger C, Klein T, Navab N (2012).  Locally adaptive Nakagami-based ultrasound similarity measures.  Ultrasonics.  52(4).  547-554.
  • Navab N, Taylor R, Yang GZ (2012).  Guest editorial special issue on interventional imaging.  IEEE Transactions on Medical Imaging.  31(4).  857-859.
  • Navab N, Fichtinger G, Szekely G, Peters T (2012).  Medical Image Analysis. Computer assisted interventions. Editorial..  Medical image analysis.  16(3).  549.
  • Safi A, Baust M, Pauly O, Castaneda V, Lasser T, Mateus D, Navab N, Hein R, Ziai M (2012).  Computer-aided diagnosis of pigmented skin dermoscopic images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7075 LNCS.  105-115.
  • Pauly O, Mateus D, Navab N (2012).  Building implicit dictionaries based on extreme random clustering for modality recognition.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7075 LNCS.  47-57.
  • Atasoy S, Mateus D, Meining A, Yang GZ, Navab N (2012).  Endoscopic video manifolds for targeted optical biopsy.  IEEE Transactions on Medical Imaging.  31(3).  637-653.
  • Weidert S, Wang L, Von Der Heide A, Navab N, Euler E (2012).  Intraoperative augmented reality visualization. Current state of development and initial experiences with the CamC.  Unfallchirurg.  115(3).  209-213.
  • Fuerst B, Mansi T, Zhang J, Khurd P, Declerck J, Boettger T, Navab N, Bayouth J, Comaniciu D, Kamen A (2012).  A personalized biomechanical model for respiratory motion prediction.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7512 LNCS.  566-573.
  • Schwarz LA, Mkhitaryan A, Mateus D, Navab N (2012).  Human skeleton tracking from depth data using geodesic distances and optical flow.  Image and Vision Computing.  30(3).  217-226.
  • Klein T, Hansson M, Navab N (2012).  Modeling of multi-view 3D freehand radio frequency ultrasound.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7510 LNCS.  422-429.
  • Wang L, Fallavollita P, Brand A, Erat O, Weidert S, Thaller PH, Euler E, Navab N (2012).  Intra-op measurement of the mechanical axis deviation: An evaluation study on 19 human cadaver legs.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7511 LNCS.  609-616.
  • Shakir DI, Okur A, Hartl A, Matthies P, Ziegler SI, Essler M, Lasser T, Navab N (2012).  Towards intra-operative PET for head and neck cancer: Lymph node localization using high-energy probes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7510 LNCS.  430-437.
  • Waelkens P, Ahmadi SA, Navab N (2012).  Frangi goes US : Multiscale tubular structure detection adapted to 3D ultrasound.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7510 LNCS.  625-633.
  • Schwarz LA, Mateus D, Navab N (2012).  Recognizing multiple human activities and tracking full-body pose in unconstrained environments.  Pattern Recognition.  45(1).  11-23.
  • Ralovich K, Itu L, Mihalef V, Sharma P, Ionasec R, Vitanovski D, Krawtschuk W, Everett A, Ringel R, Navab N, Comaniciu D (2012).  Hemodynamic assessment of pre- and post-operative aortic coarctation from MRI.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7511 LNCS.  486-493.
  • Vogel J, Reichl T, Gardiazabal J, Navab N, Lasser T (2012).  Optimization of acquisition geometry for intra-operative tomographic imaging.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7512 LNCS.  42-49.
  • Hinterstoisser S, Lepetit V, Ilic S, Holzer S, Konolige K, Bradski G, Navab N (2012).  Technical demonstration on model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7585 LNCS(PART 3).  593-596.
  • Pauly O, Ahmadi SA, Plate A, Boetzel K, Navab N (2012).  Detection of substantia nigra echogenicities in 3D transcranial ultrasound for early diagnosis of Parkinson disease.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7512 LNCS.  443-450.
  • Aichert A, Wein W, Ladikos A, Reichl T, Navab N (2012).  Image-based tracking of the teeth for orthodontic augmented reality.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7511 LNCS.  601-608.
  • Wachinger C, Navab N (2012).  Entropy and Laplacian images: Structural representations for multi-modal registration.  Medical Image Analysis.  16(1).  1-17.
  • Diotte B, Fallavollita P, Wang L, Weidert S, Thaller PH, Euler E, Navab N (2012).  Radiation-free drill guidance in interlocking of intramedullary nails.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7510 LNCS.  18-25.
  • Okur A, Ahmadi SA, Bigdelou A, Wendler T, Navab N (2011).  MR in OR: First analysis of AR/VR visualization in 100 intra-operative Freehand SPECT acquisitions.  2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011.  211-218.
  • Eslami A, Yigitsoy M, Navab N (2011).  Manifold learning for shape guided segmentation of Cardiac boundaries: Application to 3Dt Cardiac MRI.  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS.  2658-2662.
  • Castañeda V, Mateus D, Navab N (2011).  Stereo time-of-flight.  Proceedings of the IEEE International Conference on Computer Vision.  1684-1691.
  • Pauly O, Mateus D, Navab N (2011).  STARS: A new ensemble partitioning approach.  Proceedings of the IEEE International Conference on Computer Vision.  1340-1347.
  • Hinterstoisser S, Holzer S, Cagniart C, Ilic S, Konolige K, Navab N, Lepetit V (2011).  Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes.  Proceedings of the IEEE International Conference on Computer Vision.  858-865.
  • Zikic D, Baust M, Kamen A, Navab N (2011).  A general preconditioning scheme for difference measures in deformable registration.  Proceedings of the IEEE International Conference on Computer Vision.  49-56.
  • Navab N (2011).  Model guided multimodal imaging and visualization for computer assisted interventions.  Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011.  206-214.
  • Rieger A, Blum T, Navab N, Friess H, Martignoni ME (2011).  Augmented reality: Merge of reality and virtuality in medicine.  Deutsche Medizinische Wochenschrift.  136(47).  2427-2433.
  • Shamir RR, Horn M, Blum T, Mehrkens J, Shoshan Y, Joskowicz L, Navab N (2011).  Trajectory planning with Augmented Reality for improved risk assessment in image-guided keyhole neurosurgery.  Proceedings - International Symposium on Biomedical Imaging.  1873-1876.
  • Klein T, Hansson M, Navab N (2011).  Spatial statistics based feature descriptor for RF ultrasound data.  Proceedings - International Symposium on Biomedical Imaging.  33-36.
  • Brieu N, Groher M, Serbanovic-Canic J, Cvejic A, Ouwehand W, Navab N (2011).  Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6893 LNCS(PART 3).  579-586.
  • Reichl T, Luo X, Menzel M, Hautmann H, Mori K, Navab N (2011).  Deformable registration of bronchoscopic video sequences to CT volumes with guaranteed smooth output.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6891 LNCS(PART 1).  17-24.
  • Atasoy S, Mateus D, Meining A, Yang GZ, Navab N (2011).  Targeted optical biopsies for surveillance endoscopies.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6893 LNCS(PART 3).  83-90.
  • Shi K, Astner ST, Sun L, Navab N, Nüsslin F, Vaupel P, Wilkens JJ (2011).  Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6891 LNCS(PART 1).  484-491.
  • Wieczorek M, Aichert A, Fallavollita P, Kutter O, Ahmadi A, Wang L, Navab N (2011).  Interactive 3D visualization of a single-view x-ray image.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6891 LNCS(PART 1).  73-80.
  • Grbic S, Ionasec R, Wang Y, Mansi T, Georgescu B, John M, Boese J, Zheng Y, Navab N, Comaniciu D (2011).  Model-based fusion of multi-modal volumetric images: Application to transcatheter valve procedures.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6891 LNCS(PART 1).  219-226.
  • Vetter C, Lasser T, Wendler T, Navab N (2011).  1D-3D registration for functional nuclear imaging.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6891 LNCS(PART 1).  227-234.
  • Schwarz LA, Bigdelou A, Navab N (2011).  Learning gestures for customizable human-computer interaction in the operating room.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6891 LNCS(PART 1).  129-136.
  • Feuerstein M, Heibel H, Gardiazabal J, Navab N, Groher M (2011).  Reconstruction of 3-D histology images by simultaneous deformable registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6892 LNCS(PART 2).  582-589.
  • Pauly O, Glocker B, Criminisi A, Mateus D, Möller AM, Nekolla S, Navab N (2011).  Fast multiple organ detection and localization in whole-body MR dixon sequences.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6893 LNCS(PART 3).  239-247.
  • Ahmadi SA, Baust M, Karamalis A, Plate A, Boetzel K, Klein T, Navab N (2011).  Midbrain segmentation in transcranial 3D ultrasound for Parkinson diagnosis.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6893 LNCS(PART 3).  362-369.
  • Viergever MA, Jiang T, Navab N, Pluim JPW (2011).  Editorial.  Medical Image Analysis.  15(5).  669.
  • Baust M, Navab N (2011).  A fully implicit framework for sobolev active contours and surfaces.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6835 LNCS.  21-30.
  • Bouarfa L, Schneider A, Feussner H, Navab N, Lemke HU, Jonker PP, Dankelman J (2011).  Prediction of intraoperative complexity from preoperative patient data for laparoscopic cholecystectomy.  Artificial Intelligence in Medicine.  52(3).  169-176.
  • Yigitsoy M, Wachinger C, Navab N (2011).  Temporal groupwise registration for motion modeling.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6801 LNCS.  648-659.
  • Wachinger C, Klein T, Navab N (2011).  The 2D analytic signal on RF and B-mode ultrasound images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6801 LNCS.  359-370.
  • Bigdelou A, Sterner T, Wiesner S, Wendler T, Matthes F, Navab N (2011).  OR specific domain model for usability evaluations of intra-operative systems.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6689 LNCS.  25-35.
  • Schwarz LA, Mkhitaryan A, Mateus D, Navab N (2011).  Estimating human 3D pose from Time-of-Flight images based on geodesic distances and optical flow.  2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011.  700-706.
  • Yigitsoy M, Wachinger C, Navab N (2011).  Manifold learning for image-based breathing gating in MRI.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7962.
  • Lieberknecht S, Benhimane S, Meier P, Navab N (2011).  Benchmarking template-based tracking algorithms.  Virtual Reality.  15(2-3).  99-108.
  • Shakir DI, Hartl A, Navab N, Ziegler SI (2011).  Evaluation of an ad hoc model of detection physics for navigated beta-probe surface imaging.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7964.
  • Wang L, Zou R, Weidert S, Landes J, Euler E, Burschka D, Navab N (2011).  Closed-form inverse kinematics for intra-operative mobile C-arm positioning with six degrees of freedom.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7964.
  • Safi A, Castañeda V, Lasser T, Mateus DC, Navab N (2011).  Manifold learning for dimensionality reduction and clustering of skin spectroscopy data.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7963.
  • Lasser T, Ziegler SI, Navab N (2011).  Freehand SPECT in low uptake situations.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7961.
  • Brunet F, Gay-Bellile V, Bartoli A, Navab N, Malgouyres R (2011).  Feature-driven direct non-rigid image registration.  International Journal of Computer Vision.  93(1).  33-52.
  • Castañeda V, Mateus D, Navab N (2011).  SLAM combining ToF and high-resolution cameras.  2011 IEEE Workshop on Applications of Computer Vision, WACV 2011.  672-678.
  • Brunet F, Hartley R, Bartoli A, Navab N, Malgouyres R (2011).  Monocular template-based reconstruction of smooth and inextensible surfaces.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6494 LNCS(PART 3).  52-66.
  • Schwarz LA, Mateus D, Lallemand J, Navab N (2011).  Tracking planes with time of flight cameras and J-linkage.  2011 IEEE Workshop on Applications of Computer Vision, WACV 2011.  664-671.
  • Atasoy S, Mateus D, Georgiou A, Navab N, Yang GZ (2011).  Wave interference for pattern description.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6493 LNCS(PART 2).  41-54.
  • Schroeder P, Bartoli A, Georgel P, Navab N (2011).  Closed-form solutions to multiple-view homography estimation.  2011 IEEE Workshop on Applications of Computer Vision, WACV 2011.  650-657.
  • Baust M, Yezzi AJ, Unal G, Navab N (2011).  A Sobolev-type metric for polar active contours.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1017-1024.
  • Demirci S, Bigdelou A, Wang L, Wachinger C, Baust M, Tibrewal R, Ghotbi R, Eckstein HH, Navab N (2011).  3D stent recovery from one x-ray projection.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6891 LNCS(PART 1).  178-185.
  • Murphy K, Van Ginneken B, Reinhardt JM, Kabus S, Ding K, Deng X, Cao K, Du K, Christensen GE, Garcia V, Vercauteren T, Ayache N, Commowick O, Malandain G, Glocker B, Paragios N, Navab N, Gorbunova V, Sporring J, De Bruijne M, Han X, Heinrich MP, Schnabel JA, Jenkinson M, Lorenz C, Modat M, McClelland JR, Ourselin S, Muenzing SEA, Viergever MA, De Nigris D, Collins DL, Arbel T, Peroni M, Li R, Sharp GC, Schmidt-Richberg A, Ehrhardt J, Werner R, Smeets D, Loeckx D, Song G, Tustison N, Avants B, Gee JC, Staring M, Klein S, Stoel BC, Urschler M, Werlberger M, Vandemeulebroucke J, Rit S, Sarrut D, Pluim JPW (2011).  Evaluation of registration methods on thoracic CT: The EMPIRE10 challenge.  IEEE Transactions on Medical Imaging.  30(11).  1901-1920.
  • Martin-Gonzalez A, Lanzl I, Khoramnia R, Navab N (2011).  Simulation and modeling of metamorphopsia with a deformable amsler grid.  Studies in Health Technology and Informatics.  163.  336-342.
  • Alison Noble J, Navab N, Becher H (2011).  Ultrasonic image analysis and imageguided interventions.  Interface Focus.  1(4).  673-685.
  • Hinterstoisser S, Lepetit V, Benhimane S, Fua P, Navab N (2011).  Learning real-time perspective patch rectification.  International Journal of Computer Vision.  91(1).  107-130.
  • Wang L, Springer M, Heibel H, Navab N (2010).  Floyd-warshall all-pair shortest path for accurate multi-marker calibration.  9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Proceedings.  277-278.
  • Wieczorek M, Aichert A, Kutter O, Bichlmeier C, Landes J, Heining SM, Euler E, Navab N (2010).  GPU-accelerated rendering for medical augmented reality in minimally-invasive procedures.  CEUR Workshop Proceedings.  574.  102-106.
  • Emmersberger M, Demirci S, Ghotbi R, Navab N (2010).  SASOMI: Semi-automatic segmentation of medical images.  CEUR Workshop Proceedings.  574.  107-111.
  • Blume M, Keil A, Navab N, Rafecas M (2010).  Joint reconstruction of image and motion for PET: Displacement fields versus a B-spline motion model.  IEEE Nuclear Science Symposium Conference Record.  3506-3508.
  • Martin-Gonzalez A, Heining SM, Navab N (2010).  Sight-based magnification system for surgical applications.  CEUR Workshop Proceedings.  574.  26-30.
  • Bichlmeier C, Euler E, Blum T, Navab N (2010).  Evaluation of the virtual mirror as a navigational aid for augmented reality driven minimally invasive procedures.  9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Proceedings.  91-97.
  • Brunet F, Bartoli A, Navab N, Malgouyres R (2010).  Direct image registration without region of interest.  VMV 2010 - Vision, Modeling and Visualization.  323-330.
  • Brunet F, Bartoli A, Navab N, Malgouyres R (2010).  Pixel-based hyperparameter selection for feature-based image registration.  VMV 2010 - Vision, Modeling and Visualization.  33-40.
  • Voigt I, Vitanovski D, Ionasec RI, Tsymal A, Georgescu B, Zhou SK, Huber M, Navab N, Hornegger J, Comaniciu D (2010).  Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7623(PART 1).
  • Wucherer P, Bichlmeier C, Eder M, Kovacs L, Navab N (2010).  Multimodal medical consultation for improved patient education.  CEUR Workshop Proceedings.  574.  445-449.
  • Reichl T, Kutter O, Schultis B, Menzel M, Hautmann H, Navab N (2010).  Video-based bronchoscope tracking: Design and quantitative evaluation.  CEUR Workshop Proceedings.  574.  410-414.
  • Brieu N, Serbanovic-Canic J, Cvejic A, Stemple D, Ouwehand W, Navab N, Groher M (2010).  Thrombus segmentation by texture dynamics from microscopic image sequences.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7623(PART 1).
  • Navab N, Jannin P (2010).  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6135 LNCS.
  • Wang L, Landes J, Weidert S, Blum T, Von Der Heide A, Euler E, Navab N (2010).  First animal cadaver study for interlocking of intramedullary nails under camera augmented mobile C-arm: A surgical workflow based preclinical evaluation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6135 LNCS.  56-66.
  • Blum T, Wieczorek M, Aichert A, Tibrewal R, Navab N (2010).  The effect of out-of-focus blur on visual discomfort when using stereo displays.  9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Proceedings.  13-17.
  • Zikic D, Glocker B, Kutter O, Groher M, Komodakis N, Khamene A, Paragios N, Navab N (2010).  Markov random field optimization for intensity-based 2D-3D registration.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7623(PART 1).
  • Blum T, Feußner H, Navab N (2010).  Modeling and segmentation of surgical workflow from laparoscopic video.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6363 LNCS(PART 3).  400-407.
  • Zikic D, Baust M, Kamen A, Navab N (2010).  Generalization of deformable registration in Riemannian Sobolev spaces.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6362 LNCS(PART 2).  586-593.
  • Ladikos A, Cagniart C, Ghotbi R, Reiser M, Navab N (2010).  Estimating radiation exposure in interventional environments.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6363 LNCS(PART 3).  237-244.
  • Grbic S, Ionasec R, Vitanovski D, Voigt I, Wang Y, Georgescu B, Navab N, Comaniciu D (2010).  Complete valvular heart apparatus model from 4D cardiac CT.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6361 LNCS(PART 1).  218-226.
  • Wachinger C, Yigitsoy M, Navab N (2010).  Manifold learning for image-based breathing gating with application to 4D ultrasound.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6362 LNCS(PART 2).  26-33.
  • Pauly O, Heibel H, Navab N (2010).  A machine learning approach for deformable guide-wire tracking in fluoroscopic sequences.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6363 LNCS(PART 3).  343-350.
  • Atasoy S, Mateus D, Lallemand J, Meining A, Yang GZ, Navab N (2010).  Endoscopic video manifolds.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6362 LNCS(PART 2).  437-445.
  • Karamalis A, Wein W, Navab N (2010).  Fast ultrasound image simulation using the Westervelt equation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6361 LNCS(PART 1).  243-250.
  • Isguder GG, Unal G, Groher M, Navab N, Kalkan AK, Degertekin M, Hetterich H, Rieber J (2010).  Manifold learning for image-based gating of Intravascular Ultrasound(IVUS) pullback sequences.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6326 LNCS.  139-148.
  • Wang L, Zou R, Weidert S, Landes J, Euler E, Burschka D, Navab N (2010).  Modeling kinematics of mobile C-arm and operating table as an integrated six degrees of freedom imaging system.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6326 LNCS.  485-493.
  • Safi A, Castaneda V, Lasser T, Navab N (2010).  Skin lesions classification with optical spectroscopy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6326 LNCS.  411-418.
  • Dressel P, Feuerstein M, Reichl T, Kitasaka T, Navab N, Mori K (2010).  Direct co-calibration of endobronchial ultrasound and video.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6326 LNCS.  513-520.
  • Ionasec R, Voigt I, Mihalef V, Grbic S, Vitanovski D, Wang Y, Zheng Y, Hornegger J, Navab N, Georgescu B, Comaniciu D (2010).  Patient-specific modeling of the heart: Applications to cardiovascular disease management.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6364 LNCS.  14-24.
  • Blume M, Martinez-Möller A, Keil A, Navab N, Rafecas M (2010).  Joint reconstruction of image and motion in gated positron emission tomography.  IEEE Transactions on Medical Imaging.  29(11).  1892-1906.
  • Wang L, Traub J, Weidert S, Heining SM, Euler E, Navab N (2010).  Parallax-free intra-operative X-ray image stitching.  Medical Image Analysis.  14(5).  674-686.
  • Taki A, Pauly O, Setarehdan SK, Unal G, Navab N (2010).  IVUS-based histology of atherosclerotic plaques: Improving longitudinal resolution.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7629.
  • Wachinger C, Navab N (2010).  Structural image representation for image registration.  2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010.  23-30.
  • Ionasec RI, Voigt I, Georgescu B, Wang Y, Houle H, Vega-Higuera F, Navab N, Comaniciu D (2010).  Patient-specific modeling and quantification of the aortic and mitral valves from 4-D cardiac CT and TEE.  IEEE Transactions on Medical Imaging.  29(9).  1636-1651.
  • Holzer S, Ilic S, Navab N (2010).  Adaptive linear predictors for real-time tracking.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1807-1814.
  • Drost B, Ulrich M, Navab N, Ilic S (2010).  Model globally, match locally: Efficient and robust 3D object recognition.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  998-1005.
  • Zikic D, Kamen A, Navab N (2010).  Natural gradients for deformable registration.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2847-2854.
  • Alt N, Hinterstoisser S, Navab N (2010).  Rapid selection of reliable templates for visual tracking.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1355-1362.
  • Hinterstoisser S, Lepetit V, Ilic S, Fua P, Navab N (2010).  Dominant orientation templates for real-time detection of texture-less objects.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2257-2264.
  • Zikic D, Kamen A, Navab N (2010).  Unifying characterization of deformable registration methods based on the inherent parametrization: An attempt at an alternative analysis approach.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6204 LNCS.  161-172.
  • Groher M, Baust M, Zikic D, Navab N (2010).  Monocular deformable model-to-image registration of vascular structures.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6204 LNCS.  37-47.
  • Wachinger C, Mateus D, Keil A, Navab N (2010).  Manifold learning for patient position detection in MRI.  2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings.  1353-1356.
  • Wein W, Kutter O, Aichert A, Zikic D, Kamen A, Navab N (2010).  Automatic non-linear mapping of pre-procedure CT volumes to 3D ultrasound.  2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings.  1225-1228.
  • Heibel TH, Glocker B, Paragios N, Navab N (2010).  Needle tracking through higher-order MRF optimization.  2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings.  624-627.
  • Meining A, Atasoy S, Chung A, Navab N, Yang GZ (2010).  "Eye-tracking" for assessment of image perception in gastrointestinal endoscopy with narrow-band imaging compared with white-light endoscopy.  Endoscopy.  42(8).  652-655.
  • Zikic D, Glocker B, Kutter O, Groher M, Komodakis N, Kamen A, Paragios N, Navab N (2010).  Linear intensity-based image registration by Markov random fields and discrete optimization.  Medical Image Analysis.  14(4).  550-562.
  • Wendler T, Herrmann K, Schnelzer A, Lasser T, Traub J, Kutter O, Ehlerding A, Scheidhauer K, Schuster T, Kiechle M, Schwaiger M, Navab N, Ziegler SI, Buck AK (2010).  First demonstration of 3-D lymphatic mapping in breast cancer using freehand SPECT.  European Journal of Nuclear Medicine and Molecular Imaging.  37(8).  1452-1461.
  • Taki A, Hetterich H, Roodaki A, Setarehdan SK, Unal G, Rieber J, Navab N, König A (2010).  A new approach for improving coronary plaque component analysis based on intravascular ultrasound images.  Ultrasound in Medicine and Biology.  36(8).  1245-1258.
  • Schwarz LA, Mateus D, Navab N (2010).  Multiple-activity human body tracking in unconstrained environments.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6169 LNCS.  192-202.
  • Navab N, Heining SM, Traub J (2010).  Camera augmented mobile C-arm (CAMC): Calibration, accuracy study, and clinical applications.  IEEE Transactions on Medical Imaging.  29(7).  1412-1423.
  • Duliu A, Lasser T, Wendler T, Safi A, Ziegler S, Navab N (2010).  Navigated tracking of skin lesion progression with optical spectroscopy.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7624.
  • Glocker B, Heibel TH, Navab N, Kohli P, Rother C (2010).  TriangleFlow: Optical flow with triangulation-based higher-order likelihoods.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6313 LNCS(PART 3).  272-285.
  • Marinelli M, Martinez-Möller A, Jensen B, Positano V, Weismüller S, Navab N, Landini L, Schwaiger M, Nekolla SG (2010).  Registration of myocardial PET and SPECT for viability assessment using mutual information.  Medical Physics.  37(6).  2414-2424.
  • Schwarz LA, Mateus D, Castañeda V, Navab N (2010).  Manifold learning for ToF-based human body tracking and activity recognition.  British Machine Vision Conference, BMVC 2010 - Proceedings.
  • Baust M, Navab N (2010).  A spherical harmonics shape model for level set segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6313 LNCS(PART 3).  580-593.
  • Zikic D, Kamen A, Navab N (2010).  Revisiting horn and schunck: Interpretation as Gauß-Newton Optimisation.  British Machine Vision Conference, BMVC 2010 - Proceedings.
  • Wachinger C, Navab N (2010).  Manifold learning for multi-modal image registration.  British Machine Vision Conference, BMVC 2010 - Proceedings.
  • Pauly O, Mateus D, Navab N (2010).  ImageCLEF 2010 working notes on the modality classification subtask.  CEUR Workshop Proceedings.  1176.
  • Baust M, Zikic D, Navab N (2010).  Diffusion-based regularisation strategies for variational level set segmentation.  British Machine Vision Conference, BMVC 2010 - Proceedings.
  • Dressel P, Wang L, Kutter O, Traub J, Heining SM, Navab N (2010).  Intraoperative positioning of Mobile C-arms Using artificial fluoroscopy.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7625.
  • Glocker B, Komodakis N, Paragios N, Navab N (2009).  Approximated curvature penalty in non-rigid registration using pairwise MRFs.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5875 LNCS(PART 1).  1101-1109.
  • Ladikos A, Navab N (2009).  Real-time 3D reconstruction for occlusion-aware interactions in mixed reality.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5875 LNCS(PART 1).  480-489.
  • Ionasec RI, Tsymbal A, Vitanovski D, Georgescu B, Zhou SK, Navab N, Comaniciu D (2009).  Shape-based diagnosis of the aortic valve.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7259.
  • Wachinger C, Baumann S, Zeltner J, Glocker B, Navab N (2009).  Sphere extraction in MR images with application to whole-body MRI.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7259.
  • Schwarz LA, Mateus D, Navab N (2009).  Discriminative human full-body pose estimation from wearable inertial sensor data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5903 LNCS.  159-172.
  • Schweiger F, Zeisl B, Georgel P, Schroth G, Steinbach E, Navab N (2009).  Maximum detector Response markers for SIFT and SURF.  VMV 2009 - Proceedings of the Vision, Modeling, and Visualization Workshop 2009.  145-154.
  • Atasoy S, Glocker B, Giannarou S, Mateus D, Meining A, Yang GZ, Navab N (2009).  Probabilistic region matching in narrow-band endoscopy for targeted optical biopsy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5761 LNCS(PART 1).  499-506.
  • Georgel PF, Benhimane S, Sotke J, Navab N (2009).  Recovering the full pose from a single keyframe.  2009 Workshop on Applications of Computer Vision, WACV 2009.
  • Keil A, Vogel J, Lauritsch G, Navab N (2009).  Dynamic cone beam reconstruction using a new level set formulation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5762 LNCS(PART 2).  389-397.
  • Feng X, Szajkowska K, Lasser T, Ziegler SI, Navab N, Wendler T (2009).  2D/3D registration of freehand SPECT and planar scintigraphy for clinical evaluation of 3D thyroid scintigraphy.  IFMBE Proceedings.  25(2).  737-740.
  • Martin-Gonzalez A, Heining SM, Navab N (2009).  Head-mounted virtual loupe with sight-based activation for surgical applications.  Science and Technology Proceedings - IEEE 2009 International Symposium on Mixed and Augmented Reality, ISMAR 2009.  207-208.
  • Hofhauser A, Steger C, Navab N (2009).  Edge-based template matching with a harmonic deformation model.  Communications in Computer and Information Science.  24 CCIS.  176-187.
  • Bichlmeier C, Holdstock S, Heining SM, Weidert S, Euler E, Kutter O, Navab N (2009).  Contextual in-situ visualization for port placement in keyhole surgery: Evaluation of three target applications by two surgeons and eighteen medical trainees.  Science and Technology Proceedings - IEEE 2009 International Symposium on Mixed and Augmented Reality, ISMAR 2009.  173-174.
  • Ladikos A, Ilic S, Navab N (2009).  Spectral camera clustering.  2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009.  2080-2086.
  • Oezguer C, Bieniarz J, Lasser T, Ziegler SI, Navab N, Wendler T (2009).  Phenomenological models for intraoperative positron emission surface imaging using handheld probes.  IFMBE Proceedings.  25(6).  213-216.
  • Kutter O, Wein W, Navab N (2009).  Multi-modal registration based ultrasound mosaicing.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5761 LNCS(PART 1).  763-770.
  • Heining SM, Wang L, Navab N (2009).  Clinical application of CAMC - Long bone x-ray image stitching.  IFMBE Proceedings.  25(4).  2323-2325.
  • Ionasec RI, Voigt I, Georgescu B, Wang Y, Houle H, Hornegger J, Navab N, Comaniciu D (2009).  Personalized modeling and assessment of the aortic-mitral coupling from 4D TEE and CT.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5762 LNCS(PART 2).  767-775.
  • Padoy N, Mateus D, Weinland D, Berger MO, Navab N (2009).  Workflow monitoring based on 3D motion features.  2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009.  585-592.
  • Georgel PF, Bartoli A, Navab N (2009).  Simultaneous in-plane motion estimation and point matching using geometric cues only.  2009 Workshop on Motion and Video Computing, WMVC '09.
  • Lieberknecht S, Benhimane S, Meier P, Navab N (2009).  A dataset and evaluation methodology for template-based tracking algorithms.  Science and Technology Proceedings - IEEE 2009 International Symposium on Mixed and Augmented Reality, ISMAR 2009.  145-151.
  • Wang L, Traub J, Weidert S, Heining SM, Euler E, Navab N (2009).  Parallax-free long bone X-ray image stitching.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5761 LNCS(PART 1).  173-180.
  • Blume M, Keil A, Martinez-Moeller A, Navab N, Rafecas M (2009).  Simultaneous reconstruction of image and motion in gated positron-emission-tomography.  IEEE Nuclear Science Symposium Conference Record.  2760-2762.
  • Georgel P, Benhimane S, Sotke J, Navab N (2009).  Photo-based Industrial Augmented Reality application using a single keyframe registration procedure.  Science and Technology Proceedings - IEEE 2009 International Symposium on Mixed and Augmented Reality, ISMAR 2009.  187-188.
  • Blum T, Heining SM, Kutter O, Navab N (2009).  Advanced training methods using an augmented reality ultrasound simulator.  Science and Technology Proceedings - IEEE 2009 International Symposium on Mixed and Augmented Reality, ISMAR 2009.  177-178.
  • Wachinger C, Navab N (2009).  Alignment of viewing-angle dependent ultrasound images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5761 LNCS(PART 1).  779-786.
  • Ahmadi SA, Klein T, Navab N, Roth R, Shamir RR, Joskowicz L, DeMomi E, Ferrigno G, Antiga L, Foroni RI (2009).  Advanced planning and intra-operative validation for robot-assisted keyhole neurosurgery in ROBOCAST.  2009 International Conference on Advanced Robotics, ICAR 2009.
  • Taki A, Roodaki A, Pauly O, Setarehdan SK, Unal G, Navab N (2009).  A new method for characterization of coronary plaque composition via ivus images.  Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009.  787-790.
  • Demirci S, Lejeune G, Navab N (2009).  Hybrid deformable model for aneurysm segmentation.  Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009.  33-36.
  • Glocker B, Zikic D, Komodakis N, Paragios N, Navab N (2009).  Linear image registration through MRF optimization.  Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009.  422-425.
  • Baust M, Demirci S, Navab N (2009).  Stent graft removal for improving 2D-3D registration.  Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009.  1203-1206.
  • Georgel PF, Schroeder P, Navab N (2009).  Navigation tools for viewing augmented CAD models.  IEEE Computer Graphics and Applications.  29(6).  65-73.
  • Glocker B, Komodakis N, Navab N, Tziritas G, Paragios N (2009).  Dense registration with deformation priors.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5636 LNCS.  540-551.
  • Kutter O, Karamalis A, Wein W, Navab N (2009).  A GPU-based framework for simulation of medical ultrasound.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7261.
  • Karamalis A, Wein W, Kutter O, Navab N (2009).  Fast hybrid freehand ultrasound volume Reconstruction.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7261.
  • Demirci S, -Hulaas FM, Navab N (2009).  Quantification of abdominal aortic deformation after EVAR.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7261.
  • Blumea M, Keil A, Navab N, Rafecasa M (2009).  Blind motion compensation for Positron-Emission-Tomography.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  7258.
  • Groher M, Zikic D, Navab N (2009).  Deformable 2D-3D registration of vascular structures in a one view scenario.  IEEE Transactions on Medical Imaging.  28(6).  847-860.
  • Kutter O, Shams R, Navab N (2009).  Visualization and GPU-accelerated simulation of medical ultrasound from CT images.  Computer Methods and Programs in Biomedicine.  94(3).  250-266.
  • Feuerstein M, Reichl T, Vogel J, Traub J, Navab N (2009).  Magneto-optical tracking of flexible laparoscopic ultrasound: Model-based online detection and correction of magnetic tracking errors.  IEEE Transactions on Medical Imaging.  28(6).  951-967.
  • Hofhauser A, Steger C, Navab N (2009).  Perspective planar shape matching.  Proceedings of SPIE - The International Society for Optical Engineering.  7251.
  • Martinez-Moller A, Souvatzoglou M, Delso G, Bundschuh RA, Chefd'Hotel C, Ziegler SI, Navab N, Schwaiger M, Nekolla SG (2009).  Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: Evaluation with PET/CT data.  Journal of Nuclear Medicine.  50(4).  520-526.
  • Wang L, Weidert S, Traub J, Heining SM, Riquarts C, Euler E, Navab N (2009).  Camera augmented mobile C-arm: Towards real patient study.  Informatik aktuell.  97-101.
  • Holzer S, Hinterstoisser S, Ilic S, Navab N (2009).  Distance transform templates for object detection and pose estimation.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1177-1184.
  • Pauly O, Padoy N, Poppert H, Esposito L, Navab N (2009).  Wavelet energy map: A robust support for multi-modal registration of medical images.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2184-2191.
  • Wang L, Traub J, Heining SM, Benhimane S, Euler E, Graumann R, Navab N (2009).  Long bone X-ray image stitching using C-arm motion estimation.  Informatik aktuell.  202-206.
  • Wachinger C, Shams R, Navab N (2009).  Towards an estimation of acoustic impedance from multiple ultrasound images.  Informatik aktuell.  405-409.
  • Demirci S, Manstad-Hulaas F, Navab N (2009).  Extracting a purely non-rigid deformation field of a single structure.  Informatik aktuell.  76-81.
  • Bichlmeier C, Navab N, Heining SM, Feuerstein M (2009).  The Virtual Mirror: A New Interaction Paradigm for Augmented Reality Environments.  IEEE Transactions on Medical Imaging.  28(9).  1498-1510.
  • Unger C, Benhimane S, Wahl E, Navab N (2009).  Efficient disparity computation without maximum disparity for real-time stereo vision.  British Machine Vision Conference, BMVC 2009 - Proceedings.
  • Glocker B, Wachinger C, Zeltner J, Paragios N, Komodakis N, Hansen M, Navab N (2009).  MRI composing for whole body imaging.  Informatik aktuell.  420-424.
  • Brunet F, Bartoli A, Navab N, Malgouyres R (2009).  NURBS warps.  British Machine Vision Conference, BMVC 2009 - Proceedings.
  • Bigdelou A, Ladikos A, Navab N (2009).  Incremental visual hull reconstruction.  British Machine Vision Conference, BMVC 2009 - Proceedings.
  • Hinterstoisser S, Kutter O, Navab N, Fua P, Lepetit V (2009).  Real-time learning of accurate patch rectification.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2945-2952.
  • Zeisl B, Georgel PF, Schweiger F, Steinbach E, Navab N (2009).  Estimation of location uncertainty for scale invariant feature points.  British Machine Vision Conference, BMVC 2009 - Proceedings.
  • Wachinger C, Navab N (2009).  Similarity metrics and efficient optimization for simultaneous registration.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  667-674.
  • Groher M, Bender F, Khamene A, Wein W, Heibel TH, Navab N (2009).  3D guide wire navigation from single plane fluoroscopic images in abdominal catheterizations.  Informatik aktuell.  356-360.
  • Heibel TH, Glocker B, Groher M, Paragios N, Komodakis N, Navab N (2009).  Discrete tracking of parametrized curves.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1754-1761.
  • Padoy N, Blum T, Feussner H, Berger MO, Navab N (2008).  On-line recognition of surgical activity for monitoring in the operating room.  Proceedings of the National Conference on Artificial Intelligence.  3.  1718-1724.
  • Hofhauser A, Steger C, Navab N (2008).  Harmonic deformation model for edge based template matching.  VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings.  2.  75-82.
  • Benhimane S, Najafi H, Grundmann M, Genc Y, Navab N, Malis' E (2008).  Real-time object detection and tracking for industrial applications.  VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings.  2.  337-345.
  • Ladikos A, Benhimane S, Navab N, Appel M (2008).  Model-free markerless tracking for remote support in unknown environments.  VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings.  2.  627-630.
  • Bender F, Groher M, Khamene A, Wein W, Heibel TH, Navab N (2008).  3D Dynamic roadmapping for abdominal catheterizations.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5242 LNCS(PART 2).  668-675.
  • Roodaki A, Taki A, Setarehdan SK, Navab N (2008).  Modified wavelet transform features for characterizing different plaque types in IVUS images; a feasibility study.  International Conference on Signal Processing Proceedings, ICSP.  789-792.
  • Atasoy S, Noonan DP, Benhimane S, Navab N, Yang GZ (2008).  A global approach for automatic fibroscopic video mosaicing in minimally invasive diagnosis.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5241 LNCS(PART 1).  850-857.
  • Blume M, Rafecas M, Ziegler S, Navab N (2008).  Combined motion compensation and reconstruction for PET.  IEEE Nuclear Science Symposium Conference Record.  5485-5487.
  • Roodaki A, Najafi Z, Soltanzadi A, Taki A, Setarehdan SK, Navab N (2008).  Detection of outer layer of the vessel wall and characterization of calcified plaques in IVUS images.  Communications in Computer and Information Science.  6 CCIS.  629-636.
  • Ladikos A, Benhimane S, Navab N (2008).  Real-time 3D reconstruction for collision avoidance in interventional environments.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5242 LNCS(PART 2).  526-534.
  • Blum T, Padoy N, Feußner H, Navab N (2008).  Modeling and online recognition of surgical phases using hidden Markov models.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5242 LNCS(PART 2).  627-635.
  • Wendler T, Pebeyre IFD, Lasser T, Navab N (2008).  Integrated surface acquisition for hand-held probes.  Biomedical Optics, BIOMED 2008.
  • Ionasec RI, Georgescu B, Gassner E, Vogt S, Kutter O, Scheuering M, Navab N, Comaniciu D (2008).  Dynamic model-driven quantitative and visual evaluation of the aortic valve from 4D CT.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5241 LNCS(PART 1).  686-694.
  • Traub J, Sielhorst T, Heining SM, Navab N (2008).  Advanced display and visualization concepts for image guided surgery.  IEEE/OSA Journal of Display Technology.  4(4).  483-490.
  • Sielhorst T, Feuerstein M, Navab N (2008).  Advanced medical displays: A literature review of augmented reality.  IEEE/OSA Journal of Display Technology.  4(4).  451-467.
  • Hofhauser A, Steger C, Navab N (2008).  Edge-based template matching and tracking for perspectively distorted planar objects.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5358 LNCS(PART 1).  35-44.
  • Shams R, Hartley R, Navab N (2008).  Real-time simulation of medical ultrasound from CT images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5242 LNCS(PART 2).  734-741.
  • Wang L, Traub J, Heining SM, Benhimane S, Euler E, Graumann R, Navab N (2008).  Long bone X-ray image stitching using camera augmented mobile C-arm.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5242 LNCS(PART 2).  578-586.
  • Ladikos A, Benhimane S, Navab N (2008).  High performance model-based object detection and tracking.  Communications in Computer and Information Science.  21 CCIS.  191-204.
  • Wachinger C, Glocker B, Zeltner J, Paragios N, Komodakis N, Hansen MS, Navab N (2008).  Deformable mosaicing for whole-body MRI.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5242 LNCS(PART 2).  113-121.
  • Bichlmeier C, Ben O, Heining SM, Ahmadi A, Navab N (2008).  Stepping into the operating theater: ARAV - Augmented Reality Aided Vertebroplasty.  Proceedings - 7th IEEE International Symposium on Mixed and Augmented Reality 2008, ISMAR 2008.  165-166.
  • Georgel P, Schroeder P, Benhimane S, Appel M, Navab N (2008).  How to augment the second image? Recovery of the translation scale in image to image registration.  Proceedings - 7th IEEE International Symposium on Mixed and Augmented Reality 2008, ISMAR 2008.  171-172.
  • Wachinger C, Wein W, Navab N (2008).  Registration Strategies and Similarity Measures for Three-dimensional Ultrasound Mosaicing.  Academic Radiology.  15(11).  1404-1415.
  • Wein W, Brunke S, Khamene A, Callstrom MR, Navab N (2008).  Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention.  Medical Image Analysis.  12(5).  577-585.
  • Unger C, Groher M, Navab N (2008).  Image based rendering for motion compensation in angiographic roadmapping.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Zikic D, Hansen MS, Glocker B, Khamene A, Larsen R, Navab N (2008).  Computing minimal deformations: Application to construction of statistical shape models.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Hinterstoisser S, Benhimane S, Navab N, Fua P, Lepetit V (2008).  Online learning of patch perspective rectification for efficient object detection.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Hansen MS, Larsen R, Glocker B, Navab N (2008).  Adaptive parametrization of multivariate B-splines for image registration.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Glocker B, Paragios N, Komodakis N, Tziritas G, Navab N (2008).  Optical flow estimation with uncertainties through dynamic MRFs.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Ladikos A, Benhimane S, Navab N (2008).  Efficient visual hull computation for real-time 3D reconstruction using CUDA.  2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops.
  • Wachinger C, Shams R, Navab N (2008).  Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding.  2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops.
  • Navab N, Traub J, Wendler T, Buck A, Ziegler SI (2008).  Navigated nuclear probes for intra-operative functional imaging.  2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI.  1395-1398.
  • Kuhn KA, Knoll A, Mewes HW, Schwaiger M, Bode A, Broy M, Daniel H, Feussner H, Gradinger R, Hauner H, Höfler H, Holzmann B, Horsch A, Kemper A, Krcmar H, Kochs EF, Lange R, Leidl R, Mansmann U, Mayr EW, Meitinger T, Molls M, Navab N, Nüsslin F, Peschel C, Reiser M, Ring J, Rummeny EJ, Schlichter J, Schmid R, Wichmann HE, Ziegler S (2008).  Informatics and Medicine - From Molecules to Populations.  Methods of Information in Medicine.  47(4).  283-295.
  • Feuerstein M, Reichl T, Vogel J, Traub J, Navab N (2008).  New approaches to online estimation of electromagnetic tracking errors for laparoscopic ultrasonography.  Computer Aided Surgery.  13(5).  311-323.
  • Lasowski R, Benhimane S, Vogel J, Jakobs TF, Zech CJ, Trumm C, Clason C, Navab N (2008).  Adaptive visualization for needle guidance in RF liver ablation: Taking organ deformation into account.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6918.
  • Demirci S, Kutter O, Manstad-Hulaas F, Bauernschmitt R, Navab N (2008).  Advanced 2D-3D registration for endovascular aortic interventions: Addressing dissimilarity in images.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6918.
  • Atasoy S, Groher M, Zikic D, Glocker B, Waggershauser T, Pfister M, Navab N (2008).  Real-time respiratory motion tracking: Roadmap correction for hepatic artery catheterizations.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6918.
  • Kutter O, Kirchhoff S, Berkovich M, Reiser M, Navab N (2008).  Spatio-temporal registration in multiplane MRI acquisitions for 3D colon motiliy analysis.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6915.
  • Wachinger C, Navab N (2008).  Ultrasound specific similarity measures for three-dimensional mosaicing.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6914.
  • Harrer C, Kirchhoff S, Keil A, Kirchhoff C, Mussack T, Lienemann A, Reiser M, Navab N (2008).  Semi-automatic detection of Gd-DTPA-saline filled capsules for colonic transit time assessment in MRI.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6914.
  • Zikic D, Groher M, Khamene A, Navab N (2008).  Deformable registration of 3D vessel structures to a single projection image.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6914.
  • Zikic D, Sourbron S, Feng X, Michaely HJ, Khamene A, Navab N (2008).  Automatic alignment of renal DCE-MRI image series for improvement of quantitative tracer kinetic studies.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6914.
  • Feuerstein M, Mussack T, Heining SM, Navab N (2008).  Intraoperative laparoscope augmentation for port placement and resection planning in minimally invasive liver resection.  IEEE Transactions on Medical Imaging.  27(3).  355-369.
  • Klank U, Padoy N, Feussner H, Navab N (2008).  Automatic feature generation in endoscopic images.  International Journal of Computer Assisted Radiology and Surgery.  3(3-4).  331-339.
  • Georgel P, Benhimane S, Navab N (2008).  A unified approach combining photometric and geometric information for pose estimation.  BMVC 2008 - Proceedings of the British Machine Vision Conference 2008.
  • Taki A, Najafi Z, Roodaki A, Setarehdan SK, Zoroofi RA, Konig A, Navab N (2008).  Automatic segmentation of calcified plaques and vessel borders in IVUS images.  International Journal of Computer Assisted Radiology and Surgery.  3(3-4).  347-354.
  • Ladikos A, Benhimane S, Navab N (2008).  Multi-view reconstruction using narrow-band graph-cuts and surface normal optimization.  BMVC 2008 - Proceedings of the British Machine Vision Conference 2008.
  • Glocker B, Komodakis N, Paragios N, Tziritas G, Navab N (2008).  Efficient nonlinear registration using discrete optimization.  Informatik aktuell.  87-91.
  • Hinterstoisser S, Benhimane S, Lepetit V, Fua P, Navab N (2008).  Simultaneous recognition and homography extraction of local patches with a simple linear classifier.  BMVC 2008 - Proceedings of the British Machine Vision Conference 2008.
  • Glocker B, Komodakis N, Tziritas G, Navab N, Paragios N (2008).  Dense image registration through MRFs and efficient linear programming.  Medical Image Analysis.  12(6).  731-741.
  • Blum T, Padoy N, Feußner H, Navab N (2008).  Workflow mining for visualization and analysis of surgeries.  International Journal of Computer Assisted Radiology and Surgery.  3(5).  379-386.
  • Lasowski R, Benhimane S, Vogel J, Jakobs TF, Zech CJ, Trumm C, Brokate M, Navab N (2008).  Adaptive visualization using the annealing M-estimator.  Informatik aktuell.  348-352.
  • Brunet F, Bartoli A, Malgouyres R, Navab N (2008).  L-tangent norm: A low computational cost criterion for choosing regularization weights and its use for range surface reconstruction.  4th International Symposium on 3D Data Processing, Visualization and Transmission, 3DPVT 2008 - Proceedings.  347-354.
  • Wimmer F, Bichlmeier C, Heining SM, Navab N (2008).  Creating a vision channel for observing deep-seated anatomy in medical augmented reality: A cut-away technique for in-situ visualization.  Informatik aktuell.  298-302.
  • Khamene A, Azar F, Schwarz L, Zikic D, Navab N, Rietzel E (2007).  A unified and efficient approach for free-form deformable registration.  Proceedings of the IEEE International Conference on Computer Vision.
  • Traub J, Heibel TH, Dressel P, Heining SM, Graumann R, Navab N (2007).  A multi-view opto-xray imaging system development and first application in trauma surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4792 LNCS(PART 2).  18-25.
  • Ladikos A, Benhimane S, Navab N (2007).  A real-time tracking system combining template-based and feature-based approaches.  VISAPP 2007 - 2nd International Conference on Computer Vision Theory and Applications, Proceedings.  IU(MTSV/-).  325-332.
  • Bichlmeier C, Wimmer F, Heining SM, Navab N (2007).  Contextual anatomic mimesis: Hybrid in-situ visualization method for improving multi-sensory depth perception in medical augmented reality.  2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR.
  • Klein T, Benhimane S, Traub J, Heining SM, Euler E, Navab N (2007).  Interactive guidance system for C-arm repositioning without radiation: Visual servoing for camera augmented mobile C-arm (CAMC).  Informatik aktuell.  21-25.
  • Georgel P, Schroeder P, Benhimane S, Hinterstoisser S, Appel M, Navab N (2007).  An industrial augmented reality solution for discrepancy check.  2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR.
  • Bichlmeier C, Sielhorst T, Heining SM, Navab N (2007).  Improving depth perception in medical AR a virtual vision panel to the inside of the patient.  Informatik aktuell.  217-221.
  • Hinterstoisser S, Benhimane S, Navab N (2007).  N3M: Natural 3D markers for real-time object detection and pose estimation.  Proceedings of the IEEE International Conference on Computer Vision.
  • Traub J, Kaur S, Kneschaurek P, Navab N (2007).  Evaluation of electromagnetic error correction methods: Correcting distortion fields for appliance in the radiation therapy room.  Informatik aktuell.  363-367.
  • Bichlmeier C, Heining SM, Rustaee M, Navab N (2007).  Laparoscopic virtual mirror for understanding vessel structure: Evaluation study by twelve surgeons.  2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR.
  • Sielhorst T, Sa W, Khamene A, Sauer F, Navab N (2007).  Measurement of absolute latency for video see through augmented reality.  2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR.
  • Kishenkov O, Wendler T, Traub J, Ziegler SI, Navab N (2007).  Method for projecting functional 3D information onto anatomic surfaces: Accuracy improvement for navigated 3D beta-probes.  Informatik aktuell.  66-70.
  • Groher M, Jakobs TF, Padoy N, Navab N (2007).  Planning and Intraoperative Visualization of Liver Catheterizations. New CTA Protocol and 2D-3D Registration Method.  Academic Radiology.  14(11).  1325-1340.
  • Glocker B, Buhmann S, Kirchhofe C, Mussack T, Reiser M, Navab N (2007).  Towards a computer aided diagnosis system for colon motility dysfunctions.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6514(PART 1).
  • Feuerstein M, Mussack T, Heining SM, Navab N (2007).  Registration-free laparoscope augmentation for intra-operative liver resection planning.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6509(PART 1).
  • Micu R, Jakobs TF, Zech CJ, Navab N (2007).  Evaluation of different subvolume visualizations in CT-Fluoroscopy guided RF Liver Ablation.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  6509(PART 1).
  • Benhimane S, Ladikos A, Lepetit V, Navab N (2007).  Linear and quadratic subsets for template-based tracking.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Martinez-Möller A, Zikic D, Botnar RM, Bundschuh RA, Howe W, Ziegler SI, Navab N, Schwaiger M, Nekolla SG (2007).  Dual cardiac-respiratory gated PET: Implementation and results from a feasibility study.  European Journal of Nuclear Medicine and Molecular Imaging.  34(9).  1447-1454.
  • Navab N, Traub J, Sielhorst T, Feuerstein M, Bichlmeier C (2007).  Action- and workflow-driven augmented reality for computer-aided medical procedures.  IEEE Computer Graphics and Applications.  27(5).  10-14.
  • Navab N, Feuerstein M, Bichlmeier C (2007).  Laparoscopic virtual mirror new interaction paradigm for monitor based augmented reality.  Proceedings - IEEE Virtual Reality.  43-50.
  • Wein W, Röper B, Navab N (2007).  Integrating diagnostic B-mode ultrasonography into CT-based radiation treatment planning.  IEEE Transactions on Medical Imaging.  26(6).  866-879.
  • Martinez-Möller A, Souvatzoglou M, Navab N, Schwaiger M, Nekolla SG (2007).  Artifacts from misaligned CT in cardiac perfusion PET/CT studies: Frequency, effects, and potential solutions.  Journal of Nuclear Medicine.  48(2).  188-193.
  • Groher M, Bender F, Hoffmann RT, Navab N (2007).  Segmentation-driven 2D-3D registration for abdominal catheter interventions.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4792 LNCS(PART 2).  527-535.
  • Stefan P, Traub J, Heining SM, Riquarts C, Sielhorst T, Euler E, Navab N (2007).  Hybrid navigation interface a comparative study.  Informatik aktuell.  343-347.
  • Wendler T, Feuerstein M, Traub J, Lasser T, Vogel J, Daghighian F, Ziegler SI, Navab N (2007).  Real-time fusion of ultrasound and gamma probe for navigated localization of liver metastases.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4792 LNCS(PART 2).  252-260.
  • Bichlmeier C, Heining SM, Rustaee M, Navab N (2007).  Virtually extended surgical drilling device: Virtual mirror for navigated spine surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4791 LNCS(PART 1).  434-441.
  • Wein W, Khamene A, Clevert DA, Kutter O, Navab N (2007).  Simulation and fully automatic multimodal registration of medical ultrasound.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4791 LNCS(PART 1).  136-143.
  • Glocker B, Komodakis N, Paragios N, Glaser C, Tziritas G, Navab N (2007).  Primal/dual linear programming and statistical atlases for cartilage segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4792 LNCS(PART 2).  536-543.
  • Martinez-Möller A, Navab N, Schwaiger M, Nekolla SG (2007).  Photon attenuation correction in misregistered cardiac PET/CT.  Informatik aktuell.  227-231.
  • Padoy N, Blum T, Essa I, Feussner H, Berger MO, Navab N (2007).  A boosted segmentation method for surgical workflow analysis.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4791 LNCS(PART 1).  102-109.
  • Feuerstein M, Reichl T, Vogel J, Schneider A, Feussner H, Navab N (2007).  Magneto-optic tracking of a flexible laparoscopic ultrasound transducer for laparoscope augmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4791 LNCS(PART 1).  458-466.
  • Sielhorst T, Bauer M, Wenisch O, Klinker G, Navab N (2007).  Online estimation of the target registration error for n-ocular optical tracking systems.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4792 LNCS(PART 2).  652-659.
  • Alcérreca C, Vogel J, Feuerstein M, Navab N (2007).  A new approach to ultrasound guided radio-frequency needle placement.  Informatik aktuell.  26-30.
  • Wachinger C, Wein W, Navab N (2007).  Three-dimensional ultrasound mosaicing.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4792 LNCS(PART 2).  327-335.
  • Blume M, Zikic D, Wein W, Navab N (2007).  A new and general method for blind shift-variant deconvolution of biomedical images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4791 LNCS(PART 1).  743-750.
  • Groher M, Hoffmann RT, Zech C, Reiser M, Navab N (2007).  An efficient registration algorithm for advanced fusion of 2D/3D angiographic data.  Informatik aktuell.  156-160.
  • König L, Groher M, Keil A, Glaser C, Reiser M, Navab N (2007).  Semi-automatic segmentation of the patellar cartilage in MRI.  Informatik aktuell.  404-408.
  • Wein W, Blume M, Leischner U, Dodt HU, Navab N (2007).  Quality-based registration and reconstruction of optical tomography volumes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4792 LNCS(PART 2).  718-725.
  • Wendler T, Hartl A, Lasser T, Traub J, Daghighian F, Ziegler SI, Navab N (2007).  Towards intra-operative 3D nuclear imaging: reconstruction of 3D radioactive distributions using tracked gamma probes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4792 LNCS(PART 2).  909-917.
  • Klein T, Traub J, Hautmann H, Ahmadian A, Navab N (2007).  Fiducial-free registration procedure for navigated bronchoscopy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4791 LNCS(PART 1).  475-482.
  • Glocker B, Komodakis N, Paragios N, Tziritas G, Navab N (2007).  Inter and intra-modal deformable registration: continuous deformations meet efficient optimal linear programming.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4584 LNCS.  408-420.
  • Negahdar M, Ahmadian A, Navab N, Firouznia K (2006).  Path planning for virtual bronchoscopy.  Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings.  156-159.
  • Williams J, Navab N, Paragios N (2006).  Editorial: Special issue on vision and medical imaging activities at Siemens corporate research.  International Journal of Computer Vision.  70(2).  107-108.
  • Navab N, Appel M (2006).  Canonical representation and multi-view geometry of cylinders.  International Journal of Computer Vision.  70(2).  133-149.
  • Najafi H, Gene Y, Navab N (2006).  Fusion of 3D and appearance models for fast object detection and pose estimation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3852 LNCS.  415-426.
  • Wein W, Pache F, Röper B, Navab N (2006).  Backward-warping ultrasound reconstruction for improving diagnostic value and registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4191 LNCS - II.  750-757.
  • Wendler T, Traub J, Ziegler SI, Navab N (2006).  Navigated three dimensional beta probe for optimal cancer resection.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4190 LNCS - I.  561-569.
  • Ahmadi SA, Sielhorst T, Stauder R, Horn M, Feussner H, Navab N (2006).  Recovery of surgical workflow without explicit models.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4190 LNCS - I.  420-428.
  • Zikic D, Wein W, Khamene A, Clevert DA, Navab N (2006).  Fast deformable registration of 3D-ultrasound data using a variational approach.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4190 LNCS - I.  915-923.
  • Khamene A, Chisu R, Wein W, Navab N, Sauer F (2006).  A novel projection based approach for medical image registration.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4057 LNCS.  247-256.
  • Navab N, Wiesner S, Benhimane S, Euler E, Heining SM (2006).  Visual servoing for intraoperative positioning and repositioning of mobile C-arms.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4190 LNCS - I.  551-560.
  • Groher M, Padoy N, Jakobs TF, Navab N (2006).  New CTA protocol and 2B-3D registration method for liver catheterization.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4190 LNCS - I.  873-881.
  • Micu R, Jakobs TF, Urschler M, Navab N (2006).  A new registration/visualization paradigm for CT-fluoroscopy guided RF liver ablation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4190 LNCS - I.  882-890.
  • Keil A, Wachinger C, Brinker G, Thesen S, Navab N (2006).  Patient position detection, for SAR optimization in magnetic resonance imaging.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4191 LNCS - II.  49-57.
  • Sielhorst T, Bichlmeier C, Heining SM, Navab N (2006).  Depth perception - A major issue in medical AR: Evaluation study by twenty surgeons.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4190 LNCS - I.  364-372.
  • Traub J, Stefan P, Heining SM, Sielhorst T, Riquarts C, Euler E, Navab N (2006).  Stereoscopic augmented reality navigation for trauma surgery: Cadaver experiment and usability study.  International Journal of Computer Assisted Radiology and Surgery.  1(SUPPL. 7).  30-32.
  • Traub J, Stefan P, Heining SM, Sielhorst T, Riquarts C, Euler E, Navab N (2006).  Hybrid navigation interface for orthopedic and trauma surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4190 LNCS - I.  373-380.
  • Heining SM, Wiesner S, Euler E, Navab N (2006).  Pedicle screw placement under video-augmented flouroscopic control: First clinical application in a cadaver study.  International Journal of Computer Assisted Radiology and Surgery.  1(SUPPL. 7).  189-190.
  • Feuerstein M, Filippatos K, Kutter U, Schirmbeck EU, Bauernschmitt R, Navab N (2006).  A novel segmentation and navigation tool for endovascular stenting of aortic aneurysms.  International Journal of Computer Assisted Radiology and Surgery.  1(SUPPL. 7).  280-282.
  • Sielhorst T, Feuerstein M, Traub J, Kutter O, Navab N (2006).  CAMPAR: A software framework guaranteeing quality for medical augmented reality.  International Journal of Computer Assisted Radiology and Surgery.  1(SUPPL. 7).  29-30.
  • Traub J, Stefan P, Heining SM, Riquarts C, Sielhorst T, Euler E, Navab N (2006).  Towards a hybrid navigation interface: Comparison of a slice based navigation system with in-situ visualization.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4091 LNCS.  179-186.
  • Bauer M, Schlegel M, Pustka D, Navab N, Klinker G (2006).  Predicting and estimating the accuracy of n-occular optical tracking systems.  Proceedings - ISMAR 2006: Fifth IEEE and ACM International Symposium on Mixed and Augmented Reality.  43-51.
  • Wein W, Röer B, Navab N (2005).  Automatic registration and fusion of ultrasound with CT for radiotherapy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3750 LNCS.  303-311.
  • Sielhorst T, Blum T, Navab N (2005).  Synchronizing 3D movements for quantitative comparison and simultaneous visualization of actions.  Proceedings - Fourth IEEE and ACM International Symposium on Symposium on Mixed and Augmented Reality, ISMAR 2005.  2005.  38-47.
  • Feuerstein M, Wildhirt SM, Bauernschmitt R, Navab N (2005).  Automatic patient registration for port placement in minimally invasive endoscopic surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3750 LNCS.  287-294.
  • Navab N, Birkfellner W (2005).  Message from the general chairs.  Proceedings - Fourth IEEE and ACM International Symposium on Symposium on Mixed and Augmented Reality, ISMAR 2005.  2005.
  • Wein W, Röper B, Navab N (2005).  2D/3D registration based on volume gradients.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  5747(I).  144-150.
  • Olbrich B, Traub J, Wiesner S, Wichert A, Feussner H, Navab N (2005).  Respiratory motion analysis: Towards gated augmentation of the liver.  International Congress Series.  1281.  248-253.
  • Sielhorst T, Traub J, Navab N (2004).  The AR apprenticeship: Replication and omnidirectional viewing of subtle movements.  ISMAR 2004: Proceedings of the Third IEEE and ACM International Symposium on Mixed and Augmented Reality.  290-291.
  • Corral G, Ibáñez L, Nguyen C, Stoianovici D, Navab N, Cleary K (2004).  Medical robotics and fluoroscopy servoing: Automating needle placement for spine procedures.  Image Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - Proceedings of the Sixth Biannual World Automation Congress.  293-297.
  • Najafi H, Navab N, Klinker G (2004).  Automated initialization for marker-less tracking: A sensor fusion approach.  ISMAR 2004: Proceedings of the Third IEEE and ACM International Symposium on Mixed and Augmented Reality.  79-88.
  • Navab N, Zokai S, Genc Y, Coelho EM (2004).  An on-line evaluation system for optical see-through augmented reality.  Proceedings - Virtual Reality Annual International Symposium.  245-246.
  • Corral G, Ibáñez L, Nguyen C, Stoianovici D, Navab N, Cleary KR (2004).  Robot control by fluoroscopic guidance for minimally invasive spine procedures.  International Congress Series.  1268(C).  509-514.
  • Navab N (2004).  Developing killer apps for industrial augmented reality.  IEEE Computer Graphics and Applications.  24(3).  16-20.
  • Cleary K, Ibanez L, Navab N, Stoianovici D, Patriciu A, Corral G (2003).  Segmentation of Surgical Needles for Fluoroscopy Servoing Using the Insight Software Toolkit (ITK).  Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings.  1.  698-701.
  • Navab N, Genc Y, Appel M (2003).  Lines in one orthographic and two perspective views.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  25(7).  912-917.
  • Zokai S, Esteve J, Genc Y, Navab N (2003).  Multiview paraperspective projection model for diminished reality.  Proceedings - 2nd IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2003.  217-226.
  • Goose S, Sudarsky S, Zhang X, Navab N (2003).  Speech-enabled augmented reality supporting mobile industrial maintenance.  IEEE Pervasive Computing.  2(1).  65-70.
  • Mitschke M, Navab N (2003).  Recovering the X-ray projection geometry for three-dimensional tomographic reconstruction with additional sensors: Attached camera versus external navigation system.  Medical Image Analysis.  7(1).  65-78.
  • Navab N (2003).  Industrial augmented reality (IAR): Challenges in design and commercialization of killer apps.  Proceedings - 2nd IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2003.  2-6.
  • Appel M, Navab N (2002).  3D reconstruction from co-registered orthographic and perspective images: Theoretical framework and applications.  Proceedings - International Conference on Pattern Recognition.  16(4).  21-26.
  • Appel M, Navab N (2002).  Registration of technical drawings and calibrated images for industrial augmented reality.  Machine Vision and Applications.  13(3).  111-118.
  • Tuceryan M, Genc Y, Navab N (2002).  Single-point active alignment method (SPAAM) for optical see-through HMD calibration for augmented reality.  Presence: Teleoperators and Virtual Environments.  11(3).  259-276.
  • Sun Z, Tekalp AM, Navab N, Ramesh V (2002).  Interactive optimization of 3D shape and 2D correspondence using multiple geometric constraints via POCS.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  24(4).  562-569.
  • Genc Y, Riedel S, Souvannavong F, Akinlar C, Navab N (2002).  Marker-less tracking for AR: A learning-based approach.  Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR 2002.  295-304.
  • Zhang X, Fronz S, Navab N (2002).  Visual marker detection and decoding in AR systems: A comparative study.  Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR 2002.  97-106.
  • Navab N (2002).  Canonical representation and three view geometry of cylinders.  International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.  34.
  • Goose S, Sudarsky S, Zhang X, Navab N (2002).  SEAR: Towards a mobile and context-sensitive speech-enabled augmented reality.  Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002.  1.  849-852.
  • Genc Y, Tuceryan M, Navab N (2002).  Practical solutions for calibration of optical see-through devices.  Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR 2002.  169-175.
  • Navab N, Genc Y, Khamene A, Mitschke M (2002).  Direct method for motion estimation: An alternative to decomposition of planar transformation matrices.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  2449 LNCS.  575-582.
  • Bascle B, Hampel K, Navab N, Baxter B, Zhang X (2001).  An industrial 3D graphical interface for process control.  IEEE International Conference on Emerging Technologies and Factory Automation, ETFA.  2.  559-562.
  • Zhang X, Genc Y, Navab N (2001).  Mobile computing and industrial augmented reality for real-time data access.  IEEE International Conference on Emerging Technologies and Factory Automation, ETFA.  2.  583-588.
  • Navab N (2001).  Medical & industrial augmented reality: Challenges for real-time vision, computer graphics and mobile computing.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  2191.  443-451.
  • Zhang X, Genc Y, Navab N (2001).  Taking AR into large scale industrial environments: Navigation and information access with mobile computers.  Proceedings - IEEE and ACM International Symposium on Augmented Reality, ISAR 2001.  179-180.
  • Genc Y, Tuceryan M, Khamene A, Navab N (2001).  Optical see-through calibration with vision-based trackers: Propagation of projection matrices.  Proceedings - IEEE and ACM International Symposium on Augmented Reality, ISAR 2001.  147-156.
  • McGarrity E, Genc Y, Tuceryan M, Owen C, Navab N (2001).  A new system for online quantitative evaluation of optical see-through augmentation.  Proceedings - IEEE and ACM International Symposium on Augmented Reality, ISAR 2001.  157-166.
  • Zhang X, Navab N, Liou SP (2000).  E-commerce direct marketing using augmented reality.  IEEE International Conference on Multi-Media and Expo.  (I/MONDAY).  88-91.
  • Wiesenl K, Barth K, Navab N, Durlak P, Brunner T, Schuetz O, Scissler W (2000).  Enhanced 3-D-reconstruction algorithm for C-arm systems suitable for interventional procedures.  IEEE Transactions on Medical Imaging.  19(5).  391-403.
  • Mitschke M, Bani-Hashemi A, Navab N (2000).  Interventions under video-augmented X-Ray guidance: Application to needle placement.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  1935.  858-868.
  • Thirion B, Bascle B, Ramesh V, Navab N (2000).  Fusion of color, shading and boundary information for factory pipe segmentation.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2.  349-356.
  • Tuceryan M, Navab N (2000).  Single point active alignment method (SPAAM) for optical see-through HMD calibration for AR.  Proceedings - IEEE and ACM International Symposium on Augmented Reality, ISAR 2000.  149-158.
  • Mitschke MM, Navab N, Schuetz O (2000).  Online geometrical calibration of a mobile C-arm using external sensors.  Proceedings of SPIE - The International Society for Optical Engineering.  3976.  580-587.
  • Loser MH, Navab N (2000).  A new robotic system for visually controlled percutaneous interventions under CT fluoroscopy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  1935.  887-896.
  • Mitschke MM, Navab N (2000).  Optimal configuration for dynamic calibration of projection geometry of X-ray C-arm systems.  Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.  204-209.
  • Genc Y, Sauer F, Wenzel F, Tuceryan M, Navab N (2000).  Optical see-through HMD calibration: A stereo method validated with a video see-through system.  Proceedings - IEEE and ACM International Symposium on Augmented Reality, ISAR 2000.  165-174.
  • Mitschke MM, Navab N (2000).  Recovering projection geometry: how a cheap camera can outperform an expensive stereo system.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1.  193-200.
  • Navab N, Bascle B, Loser M, Geiger B, Taylor R (2000).  Visual servoing for automatic and uncalibrated needle placement for percutaneous procedures.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2.  327-334.
  • Bascle B, Navab N, Loser M, Geiger B, Taylor R (2000).  Needle placement under X-ray fluoroscopy using perspective invariants.  Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.  46-53.
  • Navab N, Genc Y, Appel M (2000).  Lines in one orthographic and two perspective views.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2.  607-614.
  • Loser MH, Navab N, Bascle B, Taylor RH (2000).  Visual servoing for automatic and uncalibrated percutaneous procedures.  Proceedings of SPIE - The International Society for Optical Engineering.  3976.  270-281.
  • Appel M, Navab N (2000).  Registration of technical drawings and calibrated images for industrial augmented reality.  Proceedings of IEEE Workshop on Applications of Computer Vision.  2000-January.  48-55.
  • Zhang X, Navab N (2000).  Tracking and pose estimation for computer assisted localization in industrial environments.  Proceedings of IEEE Workshop on Applications of Computer Vision.  214-221.
  • Navab N, Cubillo E, Bascle B, Lockau J, Kamsties KD, Neuberger M (1999).  CyliCon: A software platform for the creation & update of virtual factories.  IEEE Symposium on Emerging Technologies and Factory Automation, ETFA.  1.  459-463.
  • Navab N, Mitschke M, Schütz O (1999).  Camera-augmented mobile C-arm (CAMC) application: 3D reconstruction using a low-cost mobile C-arm.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  1679.  688-698.
  • Hanek R, Navab N, Appel M (1999).  Yet another method for pose estimation: A probabilistic approach using points, lines, and cylinders.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2.  544-550.
  • Stricker D, Navab N (1999).  Calibration propagation for image augmentation.  Proceedings - 2nd IEEE and ACM International Workshop on Augmented Reality, IWAR 1999.  95-102.
  • Navab N, Bascle B, Appel M, Cubillo E (1999).  Scene augmentation via the fusion of industrial drawings and uncalibrated images with a view to marker-less calibration.  Proceedings - 2nd IEEE and ACM International Workshop on Augmented Reality, IWAR 1999.  125-133.
  • Navab N, Bani-Kashemi A, Mitschke M (1999).  Merging visible and invisible: Two Camera-Augmented Mobile C-arm (CAMC) applications.  Proceedings - 2nd IEEE and ACM International Workshop on Augmented Reality, IWAR 1999.  134-141.
  • Navab N, Craft N, Bauer S, Bani-Hashemi A (1998).  CyliCon: Software package for 3D reconstruction of industrial pipelines.  Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998.  1998-October.  278-279.
  • Bani-Hashemi A, Navab N, Nadar M, Geiger B, Ramaraj R, Wiesent K, Brunner T (1998).  Interventional 3D-angiography: Calibration, reconstruction and visualization system.  Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998.  1998-October.  246-247.
  • Navab N, Bani-Hashemi A, Nadar MS, Wiesent K, Durlak P, Brunner T, Barth K, Graumann R (1998).  3D reconstruction from projection matrices in a C-Arm based 3D-angiography system.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  1496.  119-129.
  • Navab N, Faugeras OD (1997).  The critical sets of lines for camera displacement estimation: A mixed euclidean-projective and constructive approach.  International Journal of Computer Vision.  23(1).  17-44.
  • Navab N, Bani-Hashemi AR, Mitschke M, Holdsworth DW, Fahrig R, Fox AJ, Graumann R (1996).  Dynamic geometrical calibration for 3D cerebral angiography.  Proceedings of SPIE - The International Society for Optical Engineering.  2708.  361-370.
  • Shashua A, Navab N (1994).  Relative affine structure: theory and application to 3D reconstruction from perspective views.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  483-489.
  • Navab N, Faugeras O (1993).  Monocular pose determination from lines: critical sets and maximum number of solutions.  IEEE Computer Vision and Pattern Recognition.  254-260.
  • Navab N, Faugeras OD, Vieville T (1993).  Critical sets of lines for camera displacement estimation: a mixed Euclidean-projective and constructive approach.  1993 IEEE 4th International Conference on Computer Vision.  718-723.
  • Navab N, Deriche R, Faugeras OD (1990).  Recovering 3D motion and structure from stereo and 2D token tracking cooperation.  513-516.
  • Faugeras OD, Navab N, Deriche R (1990).  Information contained in the motion field of lines and the cooperation between motion and stereo.  International Journal of Imaging Systems and Technology.  2(4).  356-370.
Book Chapters
  • Halabi O, Balakrishnan S, Dakua SP, Navab N, Warfa M (2020).  Virtual and Augmented Reality in Surgery.  Lecture Notes in Electrical Engineering.  674.  257-285.
  • Stefan P, Traub J, Hennersperger C, Esposito M, Navab N (2019).  Challenges in computer assisted interventions.  Handbook of Medical Image Computing and Computer Assisted Intervention.  979-1012.
  • Rieke N, Tombari F, Navab N (2018).  Computer Vision and Machine Learning for Surgical Instrument Tracking: Focus: Random Forest-Based Microsurgical Tool Tracking.  Computer Vision For Assistive Healthcare.  105-126.
  • Conjeti S, Roy AG, Sheet D, Carlier S, Syeda-Mahmood T, Navab N, Katouzian A (2017).  Domain Adapted Model for In Vivo Intravascular Ultrasound Tissue Characterization.  Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting.  157-181.
  • Peter L, Pauly O, Chatelain P, Mateus D, Navab N (2015).  Scale-adaptive forest training via an efficient feature sampling scheme.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9349.  637-644.
  • Navab N, Kutter O, Kirchhoff SM, Reiser M, Glocker B (2015).  Medical image processing for analysis of colon motility.  Handbook of Biomedical Imaging: Methodologies and Clinical Research.  391-401.
  • Fuerst B, Fotouhi J, Navab N (2015).  Vision-based intraoperative cone-beam CT stitching for non-overlapping volumes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9349.  387-395.
  • Rieke N, Tan DJ, Alsheakhali M, Tombari F, Filippo CAdS, Belagiannis V, Eslami A, Navab N (2015).  Surgical tool tracking and pose estimation in retinal microsurgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9349.  266-273.
  • Esposito M, Busam B, Hennersperger C, Rackerseder J, Lu A, Navab N, Frisch B (2015).  Cooperative Robotic Gamma Imaging: Enhancing US-guided Needle Biopsy.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  611-618.
  • Duliu A, Brosig R, Ognawala S, Lasser T, Ziai M, Navab N (2015).  Illumination Compensation and Normalization Using Low-Rank Decomposition of Multispectral Images in Dermatology.  Information Processing in Medical Imaging.  Springer International Publishing.  613-625.
  • Koutenaei BA, Guler O, Wilson E, Oetgen M, Grimm P, Navab N, Cleary K (2015).  Inertial Measurement Unit for Radiation-Free Navigated Screw Placement in Slipped Capital Femoral Epiphysis Surgery.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  355-362.
  • Koutenaei BA, Guler O, Wilson E, Oetgen M, Grimm P, Navab N, Cleary K (2015).  Inertial measurement unit for radiation-free navigated screw placement in slipped capital femoral epiphysis surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9349.  355-362.
  • Virga S, Dogeanu V, Fallavollita P, Ghotbi R, Navab N, Demirci S (2015).  Optimal C-arm Positioning for Aortic Interventions.  Bildverarbeitung für die Medizin 2015.  Springer Berlin Heidelberg.  53-58.
  • Shi K, Cheng X, Navab N, Foerster S, Ziegler SI (2015).  PET/MRI/VCT: Restoration of Virtual CT from Transmission Scan on PET/MRI Using Joint-Anisotropic Diffusion.  Computational Methods for Molecular Imaging.  Springer International Publishing.  25-33.
  • Rieke N, Tan DJ, Alsheakhali M, Tombari F, di San Filippo, Chiara Amat , Belagiannis V, Eslami A, Navab N (2015).  Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  266-273.
  • Lasser T, Gardiazabal J, Wieczorek M, Matthies P, Vogel J, Frisch B, Navab N (2015).  Towards 3D Thyroid Imaging Using Robotic Mini Gamma Cameras.  Bildverarbeitung für die Medizin 2015.  Springer Berlin Heidelberg.  498-503.
  • Milletari F, Ahmadi S, Kroll C, Hennersperger C, Tombari F, Shah A, Plate A, Boetzel K, Navab N (2015).  Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  111-118.
  • Albarqouni S, Lasser T, Alkhaldi W, Al-Amoudi A, Navab N (2015).  Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction.  Computational Methods for Molecular Imaging.  Springer International Publishing.  43-51.
  • Pinto F, Fuerst B, Frisch B, Navab N (2015).  Radiopositive Tissue Displacement Compensation for SPECT-guided Surgery.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  536-543.
  • Mesbah S, Conjeti S, Kumaraswamy A, Rautenberg P, Navab N, Katouzian A (2015).  Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  135-143.
  • Alsheakhali M, Yigitsoy M, Eslami A, Navab N (2015).  Real Time Medical Instrument Detection and Tracking in Microsurgery.  Bildverarbeitung für die Medizin 2015.  Springer Berlin Heidelberg.  185-190.
  • Hennersperger C, Baust M, Mateus D, Navab N (2015).  Computational Sonography.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  459-466.
  • Cheng X, Liu J, Vogel J, Liu Z, Navab N, Ziegler S, Shi K (2015).  Time-Activity Curve Based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconstruction.  Computational Methods for Molecular Imaging.  Springer International Publishing.  81-89.
  • Carneiro G, Peng T, Bayer C, Navab N (2015).  Flexible and Latent Structured Output Learning.  Machine Learning in Medical Imaging.  Springer International Publishing.  220-228.
  • Peter L, Pauly O, Chatelain P, Mateus D, Navab N (2015).  Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  637-644.
  • Fuerst B, Fotouhi J, Navab N (2015).  Vision-Based Intraoperative Cone-Beam CT Stitching for Non-overlapping Volumes.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  387-395.
  • Zweng M, Fallavollita P, Demirci S, Kowarschik M, Navab N, Mateus D (2015).  Automatic Guide-Wire Detection for Neurointerventions Using Low-Rank Sparse Matrix Decomposition and Denoising.  Augmented Environments for Computer-Assisted Interventions.  Springer International Publishing.  114-123.
  • Kaiser H, Fallavollita P, Navab N (2015).  'On the Fly'Reconstruction and Tracking System for Patient Setup in Radiation Therapy.  Augmented Environments for Computer-Assisted Interventions.  Springer International Publishing.  30-37.
  • Kaiser H, Fallavollita P, Navab N (2015).  Real-Time Markerless Respiratory Motion Management Using Thermal Sensor Data.  Augmented Environments for Computer-Assisted Interventions.  Springer International Publishing.  61-68.
  • Pölsterl S, Navab N, Katouzian A (2015).  Fast Training of Support Vector Machines for Survival Analysis.  Machine Learning and Knowledge Discovery in Databases.  Springer International Publishing.  243-259.
  • Navab N, Glocker B, Kutter O, Kirchhoff S, Reiser M (2015).  Medical Image Processing for Analysis of Colon Motility.  Handbook of Biomedical Imaging.  Springer US.  391-401.
  • Salehi M, Ahmadi S, Prevost R, Navab N, Wein W (2015).  Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015.  Springer International Publishing.  510-518.
  • Taki A, Roodaki A, Avansari S, Bigdelou A, Katouzian A, Navab N (2013).  New approaches for plaque component analysis in intravascular ultrasound (IVUS) images.  Multi-Modality Atherosclerosis Imaging and Diagnosis.  9781461474258.  341-376.
  • Ralovich K, Ionasec R, Mihalef V, Sharma P, Georgescu B, Everett A, Navab N, Comaniciu D (2012).  Computational fluid dynamics framework for large-scale simulation in pediatric cardiology.  Computational Biomechanics for Medicine: Deformation and Flow.  97-106.
Conference Proceedings
  • Wang X, Habert S, Ma M, Huang C, Fallavollita P, Navab N (2015).  [POSTER] RGB-D/C-arm Calibration and Application in Medical Augmented Reality.  Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on.  100-103.
  • Conjeti S, Yigitsoy M, Peng T, Sheet D, Chatterjee J, Bayer C, Navab N, Katouzian A (2015).  Deformable registration of immunofluorescence and histology using iterative cross-modal propagation.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  310-313.
  • Tateno K, Tombari F, Navab N (2015).  Real-time and scalable incremental segmentation on dense SLAM.  Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on.  4465-4472.
  • Carneiro G, Peng T, Bayer C, Navab N (2015).  Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images.  Image Processing (ICIP), 2015 IEEE International Conference on.  2429-2433.
  • Busam B, Esposito M, Che’Rose S, Navab N, Frisch B (2015).  A Stereo Vision Approach for Cooperative Robotic Movement Therapy.  Proceedings of the IEEE International Conference on Computer Vision Workshops.  127-135.
  • Duliu A, Gardiazabal J, Lasser T, Navab N (2015).  Reproducible high-resolution multispectral image acquisition in dermatology.  European Conference on Biomedical Optics.  953722.
  • Roodaki H, Filippatos K, Eslami A, Navab N (2015).  Introducing Augmented Reality to Optical Coherence Tomography in Ophthalmic Microsurgery.  Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on.  1-6.
  • Yigitsoy M, Katouzian A, Navab N (2015).  Structure propagation for deformable image stitching.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  1081-1084.
  • Tan DJ, Tombari F, Navab N (2015).  A Combined Generalized and Subject-Specific 3D Head Pose Estimation.  3D Vision (3DV), 2015 International Conference on.  500-508.
  • Chatelain P, Krupa A, Navab N (2015).  Optimization of ultrasound image quality via visual servoing.  Robotics and Automation (ICRA), 2015 IEEE International Conference on.  5997-6002.
  • Joseph Tan D, Tombari F, Ilic S, Navab N (2015).  A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online.  Proceedings of the IEEE International Conference on Computer Vision.  693-701.
  • Rupprecht C, Peter L, Navab N (2015).  Image segmentation in twenty questions.  Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on.  3314-3322.
  • Huang C, Tombari F, Navab N (2015).  Repeatable Local Coordinate Frames for 3D Human Motion Tracking: From Rigid to Non-rigid.  3D Vision (3DV), 2015 International Conference on.  371-379.
  • Ma M, Merckx K, Fallavollita P, Navab N (2015).  [POSTER] Natural User Interface for Ambient Objects.  Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on.  76-79.
  • Sheet D, Karri SP, Katouzian A, Navab N, Ray AK, Chatterjee J (2015).  Deep learning of tissue specific speckle representations in optical coherence tomography and deeper exploration for in situ histology.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  777-780.
  • Wang L, Belagiannis V, Marr C, Theis F, Yang G, Navab N (2015).  Anatomic-landmark detection using graphical context modelling.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  1304-1307.
  • Eagleson R, Wucherer P, Stefan P, Duschko Y, de Ribaupierre S, Vollmar C, Fallavollita P, Navab N (2015).  Collaborative table-top VR display for neurosurgical planning.  Virtual Reality (VR), 2015 IEEE.  169-170.
  • Leucht N, Habert S, Wucherer P, Weidert S, Navab N, Fallavollita P (2015).  [POSTER] Augmented Reality for Radiation Awareness.  Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on.  60-63.
  • Nissler C, Mouriki N, Castellini C, Belagiannis V, Navab N (2015).  OMG: Introducing optical myography as a new human machine interface for hand amputees.  Rehabilitation Robotics (ICORR), 2015 IEEE International Conference on.  937-942.
  • Zimmermann J, Rashid S, Hu P, Katouzian A, Navab N, Ennis DB (2015).  Cardiac MRI derived epicardial fat maps to assist VT ablation procedures for subjects with implantable devices.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  747-750.
  • Conjeti S, Yigitsoy M, Sheet D, Chatterjee J, Navab N, Katouzian A (2015).  Mutually coherent structural representation for image registration through joint manifold embedding and alignment.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  601-604.
  • Vahadane A, Peng T, Albarqouni S, Baust M, Steiger K, Schlitter AM, Sethi A, Esposito I, Navab N (2015).  Structure-preserved color normalization for histological images.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  1012-1015.
  • Habert S, Meng M, Kehl W, Wang X, Tombari F, Fallavollita P, Navab N (2015).  [POSTER] Augmenting Mobile C-arm Fluoroscopes via Stereo-RGBD Sensors for Multimodal Visualization.  Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on.  72-75.
  • Naik H, Oyamada Y, Keitler P, Navab N (2015).  [POSTER] Exploiting Photogrammetric Targets for Industrial AR.  Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on.  144-147.
  • Roy AG, Conjeti S, Carlier SG, Konig A, Kastrati A, Dutta PK, Laine AF, Navab N, Sheet D, Katouzian A (2015).  Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  428-431.
  • Yigitsoy M, Belagiannis V, Djurka A, Katouzian A, Ilic S, Pernus E, Eslami A, Navab N (2015).  Random ferns for multiple target tracking in microscopic retina image sequences.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  209-212.
  • Baust M, Demaret L, Storath M, Navab N, Weinmann A (2015).  Total Variation Regularization of Shape Signals.  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.  2075-2083.
  • Habert S, Gardiazabal J, Fallavollita P, Navab N (2015).  RGBDX: First Design and Experimental Validation of a Mirror-Based RGBD X-ray Imaging System.  Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on.  13-18.
  • Alsheakhali M, Yigitsoy M, Eslami A, Navab N (2015).  Surgical tool detection and tracking in retinal microsurgery.  SPIE Medical Imaging.  941511-941511.
  • Carneiro G, Peng T, Bayer C, Navab N (2015).  Weakly-Supervised Structured Output Learning With Flexible and Latent Graphs Using High-Order Loss Functions.  Proceedings of the IEEE International Conference on Computer Vision.  648-656.
  • Huang C, Boyer E, do Canto Angonese, Bibiana , Navab N, Ilic S (2015).  Toward user-specific tracking by detection of human shapes in multi-cameras.  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.  4027-4035.
  • Bork F, Fuers B, Schneider A, Pinto F, Graumann C, Navab N (2015).  Auditory and Visio-Temporal Distance Coding for 3-Dimensional Perception in Medical Augmented Reality.  Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on.  7-12.
Patents
  • Cowan N, Fortune E, Fuerst B, Navab N  "System and Method for Bioelectric Localization and Navigation of Interventional Medical Devices", 2013.
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