Laurent Younes

Professor & Chair
Faculty - Ams
Personal

324C Clark Hall
3400 N Charles St
(410) 516-5103
laurent.younes@jhu.edu

Jump to:

News

Laurent Younes named Institute of Mathematical Statistics Fellow

August 20, 2015

Laurent Younes, Professor and Chair of the Department of Applied Mathematics and Statistics, and a member of the Center for Imaging Science and Institute for Computational Medicine, has been named a Fellow of the Institute of Mathematical Statistics (IMS). Laurent received this recognition for fundamental contributions to the mathematical and statistical foundations of shape and […]

Read More

About

Education
  • Ph.D. 1988, University Paris 11
  • M.S. 1985, University of Paris
  • B.S. 1984, Ecole Normale Superieure
Experience
  • 1998 - 2003:  Directeur de Recherches, CNRS, France
  • 1990 - 1998:  Charge de Recherches, CNRS, France
Awards
  • 2015:  Fellow of the Institute for Mathematical Statistics
Presentations
  • Biomedical Imaging and Computer Vision.  Singapore.  2016
  • Mathematics of Shape and Applications.  Singapore.  2016
  • SSIMA 2016.  2016
  • ISNPS 2016.  Avignon, France.  2016
  • Geometric Analysis in Control and Vision Theory.  Voss, Norway.  2016
  • SIAM conference in Imaging Science.  Albuquerque.  2016
  • Statistical Analysis of Manifold Data and Beyond.  UK.  2016
  • Joint Statistical Meetings.  Seattle.  2015
  • Regular seminar Simon Frazer U..  Vancouver.  2015
  • Neuroscience summer school .  2015
  • SSIMA Imaging Summer School.  Romania.  2015
  • Classic and Stochastic Geometric Mechanics.  Lausanne.  2015
  • SIAM Conference on Computational Science and Engineering.  Salt Lake City.  2015
  • "Image-based flow modeling in a two-chamber model of the left heart", 67th Annual APS DFD Meeting.  San Francisco, California.  November 25, 2014
  • "Statistical studies, Metamorphosis and Cardiac Computational Anatomy: a summary of recent work.", Shape Meeting.  London.  2014
  • "Shape Analysis of Cardiac Images", SIAM Conference in Imaging Science.  Hong Kong.  2014
  • "Smooth or Singular Metamorphoses for Images and Measures", SIAM Conference in Imaging Science.  Hong Kong.  2014
  • "Statistical Shape Analysis in Computational Anatomy", Workshop 2: Morphogenesis, Regeneration, and the Analysis of Shape.  Ohio State.  February 10, 2014
  • "Riemannian Metrics on Spaces of Deformable Images and Measures: from Singular to Smooth", Joint Mathematical Meetings.  Baltimore.  2014
  • "Diffeomorphic Shape Analysis", 14th Annual Winter School in eScience.  Geilo, Norway.  January 18, 2014

Publications

Journal Articles
  • Mittal, R., Seo, J. H., Vedula, V., Choi, Y. J., Liu, H., Huang, H. H., Jain, S., Younes, L., Abraham, T., George, R. T. (2016).  Computational modeling of cardiac hemodynamics: Current status and future outlook.  Journal of Computational Physics.  305.  1065–1082.
  • Arguillère, S., Miller, M., Younes, L. (2016).  Diffeomorphic surface registration with atrophy constraints.  SIAM Journal Imaging Science.  9(3).
  • Faria, A. V., Ratnanather, J., Tward, D. J., Lee, D. S., Van Den Noort, F., Wu, D., Brown, T., Johnson, H., Paulsen, J. S., Ross, C. A., Younes, E., Miller, M. (2016).  Linking white matter and deep gray matter alterations in premanifest Huntington disease.  NeuroImage: Clinical.  11.  450–460.
  • Richardson, C. L., Younes, E. (2016).  Metamorphosis of images in reproducing kernel Hilbert spaces.  Advances in Computational Mathematics.  42(3).  573–603.
  • Tward, D., Miller, M., Trouve, A., Younes, E. (2016).  Parametric surface diffeomorphometry for low dimensional embeddings of dense segmentations and imagery.  IEEE transactions on pattern analysis and machine intelligence.
  • Arguillere, S., Trélat, E., Trouvé, A., Younes, E. (2016).  Registration of Multiple Shapes using Constrained Optimal Control.  SIAM Journal on Imaging Sciences.  9(1).  344–385.
  • Ardekani, S., Jain, S., Sanzi, A., Corona-Villalobos, C. P., Abraham, T. P., Abraham, M. R., Zimmerman, S. L., Wu, K. C., Winslow, R. L., Miller, M., Younes, L. (2016).  Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry.  Medical image analysis.  29.  12–23.
  • Miller, M., Trouvé, A., Younes, L. (2015).  Hamiltonian Systems and Optimal Control in Computational Anatomy: 100 Years Since D’Arcy Thompson.  Annual review of biomedical engineering.  17.  447–509.
  • Vedula, V., George, R., Younes, L., Mittal, R. (2015).  Hemodynamics in the left atrium and its effect on ventricular flow patterns.  Journal of biomechanical engineering.  137(11).  111003.
  • Mahon, P. B., Lee, D. S., Trinh, H., Tward, D., Miller, M., Younes, L., Barta, P., Ratnanather, J. (2015).  Morphometry of the amygdala in schizophrenia and psychotic bipolar disorder.  Schizophrenia research.  164(1).  199–202.
  • Arguillere, S., Trélat, E., Trouvé, A., Younes, L. (2015).  Multiple shape registration using constrained optimal control.  SIAM Journal Imaging Science.
  • Miller, M., Ratnanather, J., Tward, D. J., Brown, T., Lee, D. S., Ketcha, M., Mori, K., Wang, M., Mori, S., Albert, M. S., Younes, L. (2015).  Network neurodegeneration in Alzheimer’s disease via MRI based shape diffeomorphometry and high-field atlasing.  Frontiers in bioengineering and biotechnology.  3.
  • Soldan, A., Pettigrew, C., Lu, Y., Wang, M., Selnes, O., Albert, M., Brown, T., Ratnanather, J., Younes, L., Miller, M. (2015).  Relationship of medial temporal lobe atrophy, APOE genotype, and cognitive reserve in preclinical Alzheimer’s disease.  Human brain mapping.  36(7).  2826–2841.
  • Arguillere, S., Trélat, E., Trouvé, A., Younes, L. (2015).  Shape deformation analysis from the optimal control viewpoint.  Journal de Mathématiques Pures et Appliquées.  104(1).  139–178.
  • Tang, X., Holland, D., Dale, A. M., Younes, L., Miller, M. (2015).  The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and Alzheimer’s disease.  Human brain mapping.  36(6).  2093–2117.
  • Geman, D., Geman, S., Hallonquist, N., Younes, L. (2015).  Visual turing test for computer vision systems.  Proceedings of the National Academy of Sciences.  112(12).  3618–3623.
  • Miller, M., Younes, L., Ratnanather, J., Brown, T., Trinh, H., Lee, D., Tward, D., Mahon, P. B., Mori, S., Albert, M. (2015).  Amygdalar atrophy in symptomatic Alzheimer's disease based on diffeomorphometry: the BIOCARD cohort..  Neurobiology of aging.  36 Suppl 1.  S3-S10.
  • Tang, X., Holland, D., Dale, A. M., Younes, L., Miller, M. (2015).  Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer's disease..  Journal of Alzheimer's disease : JAD.  44(2).  599-611.
  • Younes, L. (2014).  Gaussian diffeons for surface and image matching within a Lagrangian framework.  Geometry, Imaging and Computing.  1(1).  141–171.
  • Afsari, B., Fertig, E. J., Younes, L., Geman, D., Marchionni, L. (2014).  Hardwiring mechanism into predicting cancer phenotypes by computational learning.  Cancer Research.  74(19 Supplement).  5342–5342.
  • Vedula, V., Seo, J., Shoele, K., George, R., Younes, L., Mittal, R. (2014).  Image-based flow modeling in a two-chamber model of the left heart.  Bulletin of the American Physical Society.  59.
  • Younes, L., Albert, M., Miller, M. (2014).  Inferring changepoint times of medial temporal lobe morphometric change in preclinical Alzheimer’s disease.  NeuroImage: Clinical.
  • Richardson, C. L., Younes, E. (2014).  Metamorphosis of Images in Reproducing Kernel Hilbert Spaces.  arXiv preprint arXiv:1409.6573.
  • Staneva, V., Younes, L. (2014).  Modeling and Estimation of Shape Deformation for Topology-Preserving Object Tracking.  SIAM Journal on Imaging Sciences.  7(1).  427–455.
  • Arguillere, S., Trélat, E., Trouvé, A., Younes, E. (2014).  Shape deformation and optimal control.  ESAIM: Proceedings and Surveys.  45.  300–307.
  • Geman, D., Ochs, M., Price, N. D., Tomasetti, C., Younes, L. (2014).  An argument for mechanism-based statistical inference in cancer..  Human genetics.
  • Murawski, A. M., Gurbani, S., Harper, J., Klunk, M., Younes, L., Jain, S. K., Jedynak, B. (2014).  Imaging the evolution of reactivation pulmonary tuberculosis in mice using 18F-FDG PET..  Journal of nuclear medicine : official publication, Society of Nuclear Medicine.  55(10).  1726-9.
  • Ardekani, S., Gunter, G., Jain, S., Weiss, R. G., Miller, M., Younes, L. (2014).  Estimating dense cardiac 3D motion using sparse 2D tagged MRI cross-sections..  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.  2014.  5101-4.
  • Miller, M., Younes, L., Trouvé, A. (2014).  Diffeomorphometry and geodesic positioning systems for human anatomy..  Technology.  2(1).  36.
  • Younes, L., Ratnanather, J., Brown, T., Aylward, E., Nopoulos, P., Johnson, H., Magnotta, V. A., Paulsen, J. S., Margolis, R. L., Albin, R. L., Miller, M., Ross, C. A. (2014).  Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis..  Human brain mapping.  35(3).  792-809.
  • Tang, X., Holland, D., Dale, A. M., Younes, L., Miller, M. (2014).  Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer's disease: Detecting, quantifying, and predicting..  Human brain mapping.
  • Jain, A., Younes, L. (2013).  A kernel class allowing for fast computations in shape spaces induced by diffeomorphisms.  Journal of Computational and Applied Mathematics.  245.  162–181.
  • Richardson, C. L., Younes, L. (2013).  Computing Metamorphoses Between Discrete Measures.  Journal of Geometric Mechanics.  5(1).  131–150.
  • Vadakkumpadan, F., Younes, L., Trayanova, N., Wu, K. (2013).  Image-Based Left Ventricular Shape Analysis for Sudden Cardiac Death Risk Stratification.  Heart Rhythm.  10(11).  1753.
  • Miller, M., Younes, L., Ratnanather, J., Brown, T., Wang, M., Lu, Y., Li, S., Pettigrew, C., Mori, S., Albert, M. (2013).  Medial temporal lobe changes preceding symptom onset of mild cognitive impairment: The BIOCARD Cohort.  Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association.  9(4).  P54–P54.
  • Simcha, D. M., Younes, L., Aryee, M. J., Geman, D. (2013).  Identification of direction in gene networks from expression and methylation..  BMC systems biology.  7.  118.
  • Sánchez-Vega, F., Younes, L., Geman, D. (2013).  Learning multivariate distributions by competitive assembly of marginals..  IEEE transactions on pattern analysis and machine intelligence.  35(2).  398-410.
  • Gorospe, G., Younes, L., Tung, L., Vidal, R. (2013).  A metamorphosis distance for embryonic cardiac action potential interpolation and classification..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16(Pt 1).  469-76.
  • Tward, D. J., Ma, J., Miller, M., Younes, L. (2013).  Robust Diffeomorphic Mapping via Geodesically Controlled Active Shapes..  International journal of biomedical imaging.  2013.  205494.
  • Miller, M., Younes, L., Ratnanather, J., Brown, T., Trinh, H., Postell, E., Lee, D., Wang, M. C., Mori, S., O'Brien, R., Albert, M. (2013).  The diffeomorphometry of temporal lobe structures in preclinical Alzheimer's disease..  NeuroImage. Clinical.  3.  352-60.
  • Allassonniere, S., Younes, L. (2012).  A stochastic algorithm for probabilistic independent component analysis.  The Annals of Applied Statistics.  6(1).  125–160.
  • Younes, L. (2012).  Constrained diffeomorphic shape evolution.  Foundations of Computational Mathematics.  12(3).  295–325.
  • Younes, L., Ratnanather, J., Brown, T., Aylward, E., Nopoulos, P., Johnson, H., Magnotta, V. A., Paulsen, J. S., Margolis, R. L., Albin, R. L., others. (2012).  Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis.  Human brain mapping.
  • Ratnanather, J., Brown, T., Trinh, H., Younes, L., Miller, M., Mori, S., Albert, M. (2012).  Shape analysis of hippocampus and amygdala in BIOCARD.  Alzheimer’s & Dementia.  8(4).  P63.
  • Younes, L. (2012).  Spaces and manifolds of shapes in computer vision: An overview.  Image and Vision Computing.  30(6).  389–397.
  • Miller, M., Younes, L., Ratnanather, J., Brown, T., Reigel, T., Trinh, H., Tang, X., Barker, P., Mori, S., Albert, M. (2012).  Amygdala Atrophy in MCI/Alzheimer's Disease in the BIOCARD cohort based on Diffeomorphic Morphometry..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  2012.  155-166.
  • Sánchez-Vega, F., Eisner, J., Younes, E., Geman, D. (2012).  Learning Multivariate Distributions by Competitive Assembly of Marginals.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  99.
  • Qiu, A., Younes, L., Miller, M. (2012).  Principal component based diffeomorphic surface mapping..  IEEE transactions on medical imaging.  31(2).  302-11.
  • Vadakkumpadan, F., Trayanova, N., Younes, L., Wu, K. C. (2012).  Left-ventricular shape analysis for predicting sudden cardiac death risk..  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference.  2012.  4067-70.
  • Bowers, M., Younes, L. (2012).  Principal Components Analysis of Scalar, Vector, and Mesh Vertex Data..  The insight journal.  2012.  878.
  • Younes, L. (2011).  EPDiff and Computational Anatomy.  Equadiff.  2011.
  • Bowers, M., Younes, L. (2011).  Laplace Beltrami Filter on QuadEdge Meshes..  The insight journal.  2011.  840.
  • Yörük, E., Ochs, M. F., Geman, D., Younes, L. (2011).  A comprehensive statistical model for cell signaling..  IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM.  8(3).  592-606.
  • Du , J., Younes, L., Qiu, A. (2011).  Whole brain diffeomorphic metric mapping via integration of sulcal and gyral curves, cortical surfaces, and images..  NeuroImage.  56(1).  162-73.
  • Reading, S. A., Oishi, K., Redgrave, G. W., McEntee, J., Shanahan, M., Yoritomo, N., Younes, L., Mori, S., Miller, M., van Zijl, P., Margolis, R. L., Ross, C. A. (2011).  Diffuse abnormality of low to moderately organized white matter in schizophrenia..  Brain connectivity.  1(6).  511-9.
  • Oishi, K., Akhter, K., Mielke, M., Ceritoglu, C., Zhang, J., Jiang, H., Li , X., Younes, L., Miller, M., van Zijl, P. C., Albert, M., Lyketsos, C. G., Mori, S. (2011).  Multi-modal MRI analysis with disease-specific spatial filtering: initial testing to predict mild cognitive impairment patients who convert to Alzheimer's disease..  Frontiers in neurology.  2.  54.
  • Arrate, F., Ratnanather, J., Younes, L. (2010).  DIFFEOMORPHIC ACTIVE CONTOURS..  SIAM journal on imaging sciences.  3(2).  176-198.
  • Ma, J., Miller, M., Younes, L. (2010).  A bayesian generative model for surface template estimation..  International journal of biomedical imaging.  2010.
  • Ziane, R., Younes, L. (2009).  Conception d’un programme informatique de redressement d’images télévisuelles grand public. Une étape préalable à l’étude cinématique d’actions de jeux sportifs collectifs.  Movement & Sport Sciences.  (1).  71–83.
  • Qiu, A., Albert, M., Lyketsos, C., Younes, L., Miller, M. (2009).  Diffeomorphic Mapping of Longitudinal Anatomical Shapes.  Neuroimage.  47.  S174.
  • Bowers, M., Younes, L. (2009).  Laplace Beltrami Filter on QuadEdge Meshes.  Center for Imaging Science.
  • Chou, H., Younes, L. (2009).  Smoothing directional vector fields using dual norms.  SIAM Journal on Imaging Sciences.  2(1).  41–63.
  • Holm, D. D., Trouvé, A., Younes, L. (2009).  The Euler-Poincaré theory of metamorphosis.  Quarterly of Applied Mathematics.  97.  661–685.
  • Qiu, A., Wang, L., Younes, L., Harms, M. P., Ratnanather, J., Miller, M., Csernansky, J. G. (2009).  Neuroanatomical asymmetry patterns in individuals with schizophrenia and their non-psychotic siblings..  NeuroImage.  47(4).  1221-9.
  • Ceritoglu, C., Oishi, K., Li , X., Chou, M. C., Younes, L., Albert, M., Lyketsos, C., van Zijl, P. C., Miller, M., Mori, S. (2009).  Multi-contrast large deformation diffeomorphic metric mapping for diffusion tensor imaging..  NeuroImage.  47(2).  618-27.
  • Ardekani, S., Weiss, R. G., Lardo, A. C., Miller, M., Winslow, R. L., Younes, L. (2009).  Cardiac Motion Analysis in Ischemic and Non-Ischemic Cardiomyopathy Using Parallel Transport..  Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.  899.
  • Ardekani, S., Weiss, R. G., Lardo, A. C., George, R. T., Lima, J. A., Wu, K. C., Miller, M., Winslow, R. L., Younes, L. (2009).  Computational method for identifying and quantifying shape features of human left ventricular remodeling..  Annals of biomedical engineering.  37(6).  1043-54.
  • Younes, L., Arrate, F., Miller, M. (2009).  Evolutions equations in computational anatomy..  NeuroImage.  45(1 Suppl).  S40-50.
  • Qiu, A., Albert, M., Younes, L., Miller, M. (2009).  Time sequence diffeomorphic metric mapping and parallel transport track time-dependent shape changes..  NeuroImage.  45(1 Suppl).  S51-60.
  • Zhang, W., Li , X., Zhang, J., Luft, A., Hanley, D. F., van Zijl, P., Miller, M., Younes, L., Mori, S. (2009).  Landmark-referenced voxel-based analysis of diffusion tensor images of the brainstem white matter tracts: application in patients with middle cerebral artery stroke..  NeuroImage.  44(3).  906-13.
  • Younes, L., Michor, P. W., Shah, J., Mumford, D. (2008).  A metric on shape space with explicit geodesics.  Rend. Lincei Math. Appli,.  19.  25–57.
  • Glaunès, J., Qiu, A., Miller, M., Younes, L. (2008).  Large Deformation Diffeomorphic Metric Curve Mapping..  International journal of computer vision.  80(3).  317-336.
  • Younes, L., Qiu, A., Winslow, R. L., Miller, M. (2008).  Transport of Relational Structures in Groups of Diffeomorphisms..  Journal of mathematical imaging and vision.  32(1).  41-56.
  • Ma, J., Miller, M., Trouvé, A., Younes, L. (2008).  Bayesian template estimation in computational anatomy..  NeuroImage.  42(1).  252-61.
  • Qiu, A., Younes, L., Miller, M., Csernansky, J. G. (2008).  Parallel transport in diffeomorphisms distinguishes the time-dependent pattern of hippocampal surface deformation due to healthy aging and the dementia of the Alzheimer's type..  NeuroImage.  40(1).  68-76.
  • Qiu, A., Younes, L., Miller, M. (2008).  Intrinsic and extrinsic analysis in computational anatomy..  NeuroImage.  39(4).  1803-14.
  • Huang, H., Yamamoto, A., Hossain, M. A., Younes, L., Mori, S. (2008).  Quantitative cortical mapping of fractional anisotropy in developing rat brains..  The Journal of neuroscience : the official journal of the Society for Neuroscience.  28(6).  1427-33.
  • Zhang, S., Younes, L., Zweck, J., Ratnanather, J. (2008).  DIFFEOMORPHIC SURFACE FLOWS: A NOVEL METHOD OF SURFACE EVOLUTION..  SIAM journal on applied mathematics.  68(3).  806-824.
  • Gadat, S., Younes, L. (2007).  A stochastic algorithm for feature selection in pattern recognition.  The Journal of Machine Learning Research.  8.  509–547.
  • Qiu, A., Younes, L., Wang, L., Ratnanather, J., Csernansky, J. G., Miller, M. (2007).  Cortical thinning of the cingulate gyrus in schizophrenia.  International Congress on Schizophrenia Research, Colorado Springs, CO.
  • Younes, L. (2007).  Jacobi fields in groups of diffeomorphisms and applications.  Quarterly of applied mathematics.  65(1).  113–134.
  • Qiu, A., Younes, L., Wang, L., Ratnanather, J., Gillepsie, S. K., Kaplan, G., Csernansky, J., Miller, M. (2007).  Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia..  NeuroImage.  37(3).  821-33.
  • Wang, L., Beg, F., Ratnanather, T., Ceritoglu, C., Younes, L., Morris, J. C., Csernansky, J. G., Miller, M. (2007).  Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the Alzheimer type..  IEEE transactions on medical imaging.  26(4).  462-70.
  • Garcin, L., Younes, L. (2006).  Geodesic matching with free extremities.  Journal of Mathematical Imaging and Vision.  25(3).  329–340.
  • Feldman, T., Younes, L. (2006).  Homeostatic image perception: An artificial system.  Computer Vision and Image Understanding.  102(1).  70–80.
  • Cao, Y., Miller, M., Mori, S., Winslow, R. L., Younes, L. (2006).  Diffeomorphic Matching of Diffusion Tensor Images..  Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2006.  67.
  • Younes, L. (2006).  Combining geodesic interpolating splines and affine transformations..  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.  15(5).  1111-9.
  • Miller, M., Trouvé, A., Younes, L. (2006).  Geodesic Shooting for Computational Anatomy..  Journal of mathematical imaging and vision.  24(2).  209-228.
  • Helm, P. A., Younes, L., Beg, M. F., Ennis, D. B., Leclercq, C., Faris, O. P., McVeigh, E., Kass, D., Miller, M., Winslow, R. L. (2006).  Evidence of structural remodeling in the dyssynchronous failing heart..  Circulation research.  98(1).  125-32.
  • Beg, M. F., Miller, M., Trouvé, A., Younes, L. (2005).  Computing large deformation metric mappings via geodesic flows of diffeomorphisms.  International journal of computer vision.  61(2).  139–157.
  • Trouvé, A., Younes, L. (2005).  Local geometry of deformable templates.  SIAM Journal in Mathematical Analysis.  37(1).  17–59.
  • Trouvé, A., Younes, L. (2005).  Metamorphoses through lie group action.  Foundations of Computational Mathematics.  5(2).  173–198.
  • GADAT, S., YounEs, L. (2005).  Sélection de variables pour la reconnaissance de formes.  20° Colloque sur le traitement du signal et des images, FRA, 2005.
  • Helm, P. A., Tseng, H. J., Younes, L., McVeigh, E. R., Winslow, R. L. (2005).  Ex vivo 3D diffusion tensor imaging and quantification of cardiac laminar structure..  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine.  54(4).  850-9.
  • Cao, Y., Miller, M., Winslow, R. L., Younes, L. (2005).  Large deformation diffeomorphic metric mapping of vector fields..  IEEE transactions on medical imaging.  24(9).  1216-30.
  • Bitouk, D., Miller, M., Younes, L. (2005).  Clutter invariant ATR..  IEEE transactions on pattern analysis and machine intelligence.  27(5).  817-21.
  • Beg, M. F., Ceritoglu, C., Kolasny, A. E., Priebe, C., Ratnanather, J., Yashinski, R., Younes, L., Yu, P., Jovicich, J., Buckner, R. L., others. (2004).  Biomedical Informatics Research Network: Multi-Site Processing Pipeline for Shape Analysis of Brain Structures.  Human Brain Mapping, 10th Annual Meeting; Budapest, Hungary.
  • Vaillant, M., Miller, M., Younes, L., Trouvé, A. (2004).  Statistics on diffeomorphisms via tangent space representations.  NeuroImage.  23.  S161–S169.
  • Holm, D. D., Ratnanather, J., Trouvé, A., Younes, L. (2004).  Soliton dynamics in computational anatomy..  NeuroImage.  23 Suppl 1.  S170-8.
  • Vaillant, M., Miller, M., Younes, L., Ceritoglu, C. (2003).  Initial Value Diffeomorphic Landmark Matching and Its Application to Shape Statistics.  Proceedings of the IEEE Signal Processing Workshop on Statistical Signal Processing: September 28-October 1, 2003, St. Louis, MO, USA.  306.
  • Trouve, A., Younes, L. (2003).  Matching deformable objects.  Traitement du Signal.  20(3).  295–302.
  • TROUVE, A., YOUNES, L. (2003).  Mise en correspondance d’objets déformables.  TS. Traitement du signal.  20(3).  295–302.
  • Bitouk, D., Miller, I., Younes, L., Cachan CEDEX, F. F. (2002).  Empirically Generated Metric Spaces for ATR in Clutter.  analysis.  11.  41.
  • Miller, M., Trouve, A., Younes, L. (2002).  On the metrics and euler-lagrange equations of computational anatomy..  Annual review of biomedical engineering.  4.  375-405.
  • Miller, M., Younes, L. (2001).  Group actions, homeomorphisms, and matching: A general framework.  International Journal of Computer Vision.  41(1-2).  61–84.
  • Younes, L. (2000).  Deformation, warping and object comparison: a tutorial.  Cours magistraux.
  • Younes, L. (2000).  Monte Carlo maximization of likelihood: A convergence study.  CMLA, ENS Cachan, France, Tech. Rep.
  • Trouvé, A., Younes, L. (2000).  On a class of diffeomorphic matching problems in one dimension.  SIAM Journal on Control and Optimization.  39(4).  1112–1135.
  • Younes, L. (1999).  On the convergence of Markovian stochastic algorithms with rapidly decreasing ergodicity rates.  Stochastics: An International Journal of Probability and Stochastic Processes.  65(3-4).  177–228.
  • Younes, L. (1999).  Optimal matching between shapes via elastic deformations.  Image and Vision Computing.  17(5).  381–389.
  • Younes, L. (1998).  Computable elastic distances between shapes.  SIAM Journal on Applied Mathematics.  58(2).  565–586.
  • Younes, L. (1998).  Synchronous random fields and image restoration.  IEEE transactions on pattern analysis and machine intelligence.  20(4).  380–390.
  • Béréziat, D., Herlin, I., Younes, L. (1997).  Méthodes de détection de mouvement adaptées aux images météorologiques.  16° Colloque sur le traitement du signal et des images, FRA, 1997.
  • Azencott, R., Wang, J., Younes, L. (1997).  Texture classification using windowed Fourier filters.  Pattern Analysis and Machine Intelligence, IEEE Transactions on.  19(2).  148–153.
  • Younes, L. (1996).  A distance for elastic matching in object recognition.  Comptes rendus de l’Académie des sciences. Série 1, Mathématique.  322(2).  197–202.
  • Younes, L. (1996).  Representation of Gibbs fields with Synchronous Random Fields..  Markov Processes and Related Fields.  2(2).  285–316.
  • Younes, L. (1996).  Synchronous Boltzmann machines can be universal approximators.  Applied Mathematics Letters.  9(3).  109–113.
  • Younes, L. (1994).  Learning algorithms for extended models of Boltzmann machines.  INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION.  602–602.
  • Azencott, R., Doutriaux, A., Younes, L. (1993).  Synchronous Boltzmann machines and curve identification tasks.  Network: Computation in Neural Systems.  4(4).  461–480.
  • Azencott, R., Lacaille, J., Younes, L. (1992).  Machines de Boltzmann synchrones et vision artificielle.  Le Courrier du CNRS.  (79).
  • Frigessi, A., Hwang, C., Younes, L. (1992).  Optimal spectral structure of reversible stochastic matrices, Monte Carlo methods and the simulation of Markov random fields.  The Annals of Applied Probability.  2(3).  610–628.
  • Younes, L. (1991).  Maximum likelihood estimation for Gibbsian fields.  Lecture Notes-Monograph Series.  403–426.
  • Younes, L. (1989).  Parametric inference for imperfectly observed Gibbsian fields.  Probability Theory and Related Fields.  82(4).  625–645.
  • Younes, L. (1988).  Estimation and annealing for Gibbsian fields.  Annales de l’institut Henri Poincaré (B) Probabilités et Statistiques.  24(2).  269–294.
  • Younes, L. (1986).  Couplage de l’estimation et du recuit pour des champs de Gibbs.  Comptes rendus de l’Académie des sciences. Série 1, Mathématique.  303(13).  659–662.
  • YOUNES, L. (1986).  COUPLING ESTIMATION AND ANNEALING FOR GIBBSIAN FIELDS WITH FINITE NUMBER OF STATES.  COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE.  303(13).  659–662.
Books
  • Younes, L. (2010).  Shapes and diffeomorphisms.  Springer.  171.
  • Younes, L. (2003).  Invariance, déformations et reconnaissance de formes.  Springer.  44.
Book Chapters
  • Tward, D., Jovicich, J., Soricelli, A., Frisoni, G., Trouvé, A., Younes, L., Miller, M. (2014).  Improved Reproducibility of Neuroanatomical Definitions through Diffeomorphometry and Complexity Reduction.  Machine Learning in Medical Imaging.  Springer International Publishing.  223–230.
  • Ardekani, S., Jain, A., Jain, S., Abraham, T. P., Abraham, M. R., Zimmerman, S., Winslow, R. L., Miller, M., Younes, L. (2012).  Matching sparse sets of cardiac image cross-sections using large deformation diffeomorphic metric mapping algorithm.  Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges.  Springer Berlin Heidelberg.  234–243.
  • Trouvé, A., Younes, L. (2011).  Shape Spaces.  Handbook of Mathematical Methods in Imaging.  Springer.  1309–1362.
  • Glaunès, J., Trouvé, A., Younes, L. (2006).  Modeling planar shape variation via Hamiltonian flows of curves.  Statistics and analysis of shapes.  Birkhäuser Boston.  335–361.
  • Garcin, L., Younes, L. (2005).  Geodesic image matching: A wavelet based energy minimization scheme.  Energy Minimization Methods in Computer Vision and Pattern Recognition.  Springer Berlin Heidelberg.  349–364.
  • Allassonnière, S., Trouvé, A., Younes, L. (2005).  Geodesic shooting and diffeomorphic matching via textured meshes.  Energy Minimization Methods in Computer Vision and Pattern Recognition.  Springer Berlin Heidelberg.  365–381.
  • Beg, M. F., Miller, M., Trouvé, A., Younes, L. (2003).  The Euler-Lagrange equation for interpolating sequence of landmark datasets.  Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003.  Springer Berlin Heidelberg.  918–925.
  • Camion, V., Younes, L. (2001).  Geodesic interpolating splines.  Energy Minimization Methods in Computer Vision and Pattern Recognition.  Springer Berlin Heidelberg.  513–527.
  • Younes, L. (2000).  Calibrating parameters of cost functionals.  Computer Vision—ECCV 2000.  Springer Berlin Heidelberg.  212–223.
  • Trouvé, A., Younes, L. (2000).  Diffeomorphic matching problems in one dimension: Designing and minimizing matching functionals.  Computer Vision-ECCV 2000.  Springer Berlin Heidelberg.  573–587.
  • Azencott, R., Younes, L. (1997).  An energy minimization method for matching and comparing structured object representations.  Energy Minimization Methods in Computer Vision and Pattern Recognition.  Springer Berlin Heidelberg.  441–456.
  • Younes, L. (1994).  Synchronous image restoration.  Computer Vision—ECCV’94.  Springer Berlin Heidelberg.  213–217.
  • Younes, L. (1992).  Parameter estimation for imperfectly observed gibbs fields and some comments on chalmond’s em gibbsian algorithm.  Stochastic Models, Statistical Methods, and Algorithms in Image Analysis.  Springer New York.  240–258.
Other Publications
  • Ardekani, S., Bowers, M., Hennessey, J., Jain, s., Gunter, G., Kolasney, A., Ratnanather, J., Winslow, R., Miller, M., Younes, E. (2013).  Cardiac Computational Anatomy Works (CAWorks): An Integrated Software Tool to Perform Cardiac Shape Analysis.  Radiological Society of North America 2013 Scientific Assembly and Annual Meeting.
  • Younes, L. (1988).  Problèmes d’estimation paramétrique pour des champs de Gibbs markoviens: application au traitement d’images.  Paris 11.
Conference Proceedings
  • Jain, S., Tward, D. J., Lee, D. S., Kolasny, A., Brown, T., Ratnanather, J., Miller, M., Younes, L. (2014).  Computational anatomy gateway: leveraging xsede computational resources for shape analysis.  Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment.  54.
  • Ardekani, S., Gunter, G., Jain, S., Weiss, R. G., Miller, M., Younes, L. (2014).  Estimating dense cardiac 3D motion using sparse 2D tagged MRI cross-sections.  Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE.  5101–5104.
  • Vidal, C., Beggs, D., Younes, L., Jain, S. K., Jedynak, B. (2011).  Incorporating user input in template-based segmentation.  Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on.  1434–1437.
  • Vidal, C., Hewitt, J., Davis, S., Younes, L., Jain, S., Jedynak, B. (2009).  Template registration with missing parts: Application to the segmentation of M. tuberculosis infected lungs.  Biomedical Imaging: From Nano to Macro, 2009. ISBI’09. IEEE International Symposium on.  718–721.
  • Beg, M. F., Dickie, R., Golds, G., Younes, L. (2007).  Consistent realignment of 3D diffusion tensor MRI eigenvectors.  Medical Imaging.  651242–651242.
  • Ratnanather, J., Younes, L., Zweck, J., Wang, L., Hosakere, M., Csernansky, J., Miller, M. (2007).  Statistical analysis of surface roughness via local area maps: Application to the cingulate in healthy and schizophrenic subjects.  SCHIZOPHRENIA BULLETIN.  33(2).  353–353.
  • Guo, H., Rangarajan, A., Joshi, S. C., Younes, L. (2004).  A new joint clustering and diffeomorphism estimation algorithm for non-rigid shape matching.  Computer Vision and Pattern Recognition Workshop, 2004. CVPRW’04. Conference on.  16–22.
  • Le Lu Gregory, D Hager., Younes, L. (2004).  A three tiered approach for articulated object action modeling and recognition.  NIPS’2004.
  • Glaunes, J., Trouvé, A., Younes, L. (2004).  Diffeomorphic matching of distributions: A new approach for unlabelled point-sets and sub-manifolds matching.  Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on.  2.  II–712.
  • Garcin, L., Rangarajan, Anand, Younes., Younes, L. (2004).  Non rigid registration of shapes via diffeomorphic point matching and clustering.  ICIP’2004.  3299–3302.
  • Guo, H., Rangarajan, A., Joshi, S., Younes, L. (2004).  Non-rigid registration of shapes via diffeomorphic point matching.  Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on.  924–927.
  • Bitouk, D., Miller, M., Younes, L. (2003).  Asymptotic performance analysis for object recognition in clutter.  AeroSense 2003.  101–108.
  • Miller, M., Trouvé, A., Younes, L. (2003).  The metric spaces, Euler equations, and normal geodesic image motions of computational anatomy.  Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on.  2.  II–635.
  • Beg, M. F., Miller, M., Trouve, A., Younes, L. (2002).  Computational anatomy: computing metrics on anatomical shapes.  Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on.  341–344.
  • Beg, M., Miller, M., Trouve, A., Younes, L. (2002).  Computing metrics on anatomical shapes in computational anatomy.  Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint.  2.  989–990.
  • Béréziat, D., Herlin, I., Younes, L. (2000).  A generalized optical flow constraint and its physical interpretation.  Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on.  2.  487–492.
  • Younes, E. (2000).  Calibrating Parameters of Cost Functionals in Computer Vision.  ECCV 2000.
  • Béréziat, D., Herlin, I., Younes, L. (1999).  Motion estimation using a volume conservation hypothesis.  Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on.  6.  3385–3388.
  • Younes, L. (1998).  Stochastic gradient estimation strategies for Markov random fields.  SPIE’s International Symposium on Optical Science, Engineering, and Instrumentation.  315–325.
  • Bereziat, D., Herlin, I. L., Younes, L. (1997).  Motion detection in meteorological images sequences: Two methods and their comparison.  Aerospace Remote Sensing’97.  332–341.
  • Azencott, R., Coldefy, F., Younes, L. (1996).  A distance for elastic matching in object recognition.  Pattern Recognition, 1996., Proceedings of the 13th International Conference on.  1.  687–691.
Patents
  • Younes, E., Miller, M., Mostofsky, S., Dirlikov, B.  "Kinematic and morphometric analysis of digitized handwriting tracings", 2015.
Back to top