Faculty

Jerry L. Prince

William B. Kouwenhoven Professor

Primary Appointment: Electrical and Computer Engineering

Research Interests

  • Image Processing
  • Computer vision with application to medical imaging

Jerry Prince, the William B. Kouwenhoven Professor of Electrical and Computer Engineering, has more than 30 years of experience in the research and practice of 3-D medical image reconstruction, registration, segmentation, and shape and motion analysis. He holds secondary appointments in the departments of Applied Mathematics and Statistics, and Computer Science at Johns Hopkins University, and joint appointments in the departments of Biomedical Engineering and Radiology at the Johns Hopkins University School of Medicine.

Prince’s lab was among the first to work on methods to tag structures during magnetic resonance imaging tests. Algorithms developed by his lab to use MR tagging while studying cardiac motion led to the formation of the companies Diagnosoft and Myocardial Solutions. Prince also is known for work segmenting the human brain cortex from MR images and making improvements to optical coherence tomography (OCT) imaging of the retina.

His current research interests focus on image processing and computer vision, with primary application to medical imaging, and he has published more than 500 articles on these subjects. Ongoing projects include developing imaging and image processing methods to study speech pathologies in patients who have had partial surgical removal of the tongue due to cancer, and developing image processing methods to characterize hydrocephalus, a condition in which fluid accumulates in the brain. Prince also co-founded Sonavex, Inc., a medical device company that develops ultrasound solutions to visualize and quantify elements such as blood flow following surgery.

Prince is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society, and the American Institute for Medical and Biological Engineering. He is a member of the Sigma Xi, Tau Beta Pi, Eta Kappa Nu, and Phi Kappa Phi honor societies; the International Society of Magnetic Resonance in Medicine (ISMRM); and the International Society for Optics and Photonics (SPIE).

Prince was an associate editor of IEEE Transactions on Image Processing from 1992-1995, an associate editor of IEEE Transactions on Medical Imaging from 2000-2004 and is currently a member of the editorial board of Medical Image Analysis. He received a 1993 National Science Foundation Presidential Faculty Fellows Award, was Maryland’s 1997 Outstanding Young Engineer, and was awarded the MICCAI Society Enduring Impact Award in 2012.

Prince received his BS degree in Electrical Engineering and Computer Science from the University of Connecticut in 1979 and a PhD in Electrical Engineering from the Massachusetts Institute of Technology in 1988. He joined the Whiting School of Engineering faculty in 1989.

Awards and Honors

2017 Diversity Recognition Award

Enduring Impact Award, MICCAI Society

Fellow of the MICCAI Society

Secondary Appointments:  Applied Mathematics and Statistics; Computer Science; Radiology and Radiological Science; Biomedical Engineering, Johns Hopkins University School of Medicine

 

Journal Articles
  • Saidha S, Al-Louzi O, Ratchford JN, Bhargava P, Oh J, Newsome SD, Prince JL, Pham D, Roy S, Van Zijl P, Balcer LJ, Frohman EM, Reich DS, Crainiceanu C, Calabresi PA (2015).  Optical coherence tomography reflects brain atrophy in multiple sclerosis: A four-year study.  Annals of Neurology.  78(5).  801-813.
  • Saidha S, Al-Louzi O, Ratchford JN, Bhargava P, Oh J, Newsome SD, Prince J, Pham D, Roy S, van Zijl P, others (2015).  Optical coherence tomography reflects brain atrophy in MS: A four year study.  Annals of Neurology.  78(5).  801-813.
  • Bilgel M, Carass A, Resnick SM, Wong DF, Prince JL (2015).  Deformation field correction for spatial normalization of PET images.  NeuroImage.  119.  152-163.
  • Ye C, Murano E, Stone M, Prince JL (2015).  A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.  Computerized Medical Imaging and Graphics.  45.  63-74.
  • Roy S, He Q, Sweeney E, Carass A, Reich DS, Prince JL, Pham DL (2015).  Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.  IEEE Journal of Biomedical and Health Informatics.  19(5).  1598-1609.
  • Roy S, He Q, Sweeney E, Carass A, Reich DS, Prince J, Pham DL (2015).  Subject specific sparse dictionary learning for atlas based brain MRI segmentation.  IEEE Journal of Biomedical Health Informatics.  19(5).  1598-1609.
  • Jog A, Carass A, Roy S, Pham DL, Prince JL (2015).  MR image synthesis by contrast learning on neighborhood ensembles.  Medical Image Analysis.  24(1).  63-76.
  • Ye C, Yang Z, Ying SH, Prince JL (2015).  Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.  Neuroinformatics.  13(3).  367-381.
  • Woo J, Stone M, Prince JL (2015).  Multimodal registration via mutual information incorporating geometric and spatial context.  IEEE Transactions on Image Processing.  24(2).  757-759.
  • Ibragimov B, Prince JL, Murano EZ, Woo J, Stone M, Likar B, Pernuš F, Vrtovec T (2015).  Segmentation of tongue muscles from super-resolution magnetic resonance images.  Medical Image Analysis.  20(1).  198-207.
  • Woo J, Lee J, Murano EZ, Xing F, Al-Talib M, Stone M, Prince JL (2015).  A high-resolution atlas and statistical model of the vocal tract from structural MRI.  Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization.  3(1).  47-60.
  • Bilgel M, Carass A, Resnick SM, Wong DF, Prince J (2015).  Deformation field correction for spatial normalization of PET images.  NeuroImage.  119.  152-163.
  • Ye C, Glaister J, Prince JL (2015).  Probabilistic fiber tracking using a modified Lasso bootstrap method.  Proceedings - International Symposium on Biomedical Imaging.  2015-July.  943-946.
  • Jog A, Carass A, Roy S, Pham DL, Prince J (2015).  MR Image Synthesis by Contrast Learning On Neighborhood Ensembles.  Medical Image Analysis.  24(1).  63-76.
  • Xing F, Ye C, Woo J, Stone M, Prince J (2015).  Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9413.
  • Jog A, Carass A, Pham DL, Prince JL (2015).  Multi-output decision trees for lesion segmentation in multiple sclerosis.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9413.
  • Resnick SM, Bilgel M, Moghekar A, An Y, Cai Q, Wang MC, Thambisetty M, Prince JL, Zhou Y, Soldan A, Wong DF, O'Brien RJ, Ferrucci L, Albert MS (2015).  Changes in Aβ biomarkers and associations with APOE genotype in 2 longitudinal cohorts.  Neurobiology of Aging.  36(8).  2333-2339.
  • Nyquist PA, Bilgel M, Gottesman R, Yanek LR, Moy TF, Becker LC, Cuzzocreo JL, Prince J, Wasserman BA, Yousem DM, others (2015).  Age differences in periventricular and deep white matter lesions.  Neurobiology of aging.  36(4).  1653-1658.
  • Bhargava P, Lang A, Al-Louzi O, Carass A, Prince J, Calabresi PA, Saidha S (2015).  Applying an Open-Source Segmentation Algorithm to Different OCT Devices in Multiple Sclerosis Patients and Healthy Controls: Implications for Clinical Trials.  Multiple Sclerosis International.  2015.
  • Nyquist PA, Yanek LR, Bilgel M, Cuzzocreo JL, Becker LC, Chevalier-Davis K, Yousem D, Prince J, Kral BG, Vaidya D, others (2015).  Effect of white matter lesions on manual dexterity in healthy middle-aged persons.  Neurology.  84(19).  1920-1926.
  • Nyquist PA, Bilgel M, Gottesman R, Yanek LR, Moy TF, Becker LC, Cuzzocreo JL, Prince J, Wasserman BA, Yousem DM, Becker DM, Kral BG, Vaidya D (2015).  Age differences in periventricular and deep white matter lesions.  Neurobiology of Aging.  36(4).  1653-1658.
  • Carass A, Lang A, Hauser M, Calabresi PA, Ying HS, Prince J (2015).  Multiple-object geometric deformable model for segmentation of macular OCT: errata.  Biomedical Optics Express.  6(4).  1351-1352.
  • Resnick SM, Bilgel M, Moghekar A, An Y, Cai Q, Wang M, Thambisetty M, Prince J, Zhou Y, Soldan A, others (2015).  Changes in A$β$ biomarkers and associations with APOE genotype in 2 longitudinal cohorts.  Neurobiology of Aging.  36(8).  2333-2339.
  • Carass A, Lang A, Hauser M, Calabresi PA, Ying HS, Prince JL (2015).  Multiple-object geometric deformable model for segmentation of macular OCT: Errata.  Biomedical Optics Express.  6(4).  1351-1352.
  • Nyquist PA, Yanek LR, Bilgel M, Cuzzocreo JL, Becker LC, Chevalier-Davis K, Yousem D, Prince J, Kral BG, Vaidya D, Becker DM (2015).  Effect of white matter lesions on manual dexterity in healthy middle-aged persons.  Neurology.  84(19).  1920-1926.
  • Sigurdsson GA, Yang Z, Tran TD, Prince JL (2015).  Interpretable exemplar-based shape classification using constrained sparse linear models.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9413.
  • Woo J, Lee J, Murano EZ, Xing F, Al-Talib M, Stone M, Prince J (2015).  A high-resolution atlas and statistical model of the vocal tract from structural MRI.  Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.  3(1).  1-14.
  • Oh J, Sotirchos ES, Saidha S, Whetstone A, Chen M, Newsome SD, Zackowski K, Balcer LJ, Frohman E, Prince J, others (2015).  Relationships between quantitative spinal cord MRI and retinal layers in multiple sclerosis.  Neurology.  84(7).  720-728.
  • Lang A, Carass A, Swingle EK, Al-Louzi O, Bhargava P, Saidha S, Ying HS, Calabresi PA, Prince J (2015).  Automatic segmentation of microcystic macular edema in OCT.  Biomedical Optics Express.  6(1).  155-169.
  • Jedynak B, Liu B, Lang A, Gel Y, Prince J, Initiative AD (2015).  A computational method for computing an Alzheimer's Disease Progression Score; experiments and validation with the ADNI dataset.  Neurobiology of Aging.  36(Supplement 1).  S178-S184.
  • Woo J, Xing F, Lee J, Stone M, Prince JL (2015).  Construction of an unbiased spatio-temporal atlas of the tongue during speech.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9123.  723-732.
  • Chen M, Jog A, Carass A, Prince JL (2015).  Using image synthesis for multi-channel registration of different image modalities.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9413.
  • Woo J, Stone M, Prince J (2015).  Multimodal Registration via Mutual Information Incorporating Geometric and Spatial Context.  Image Processing, IEEE Transactions on.  24(2).  757-769.
  • Oh J, Sotirchos ES, Saidha S, Whetstone A, Chen M, Newsome SD, Zackowski K, Balcer LJ, Frohman E, Prince J, Diener-West M, Reich DS, Calabresi PA (2015).  Relationships between quantitative spinal cord MRI and retinal layers in multiple sclerosis.  Neurology.  84(7).  720-728.
  • Ye C, Yang Z, Ying SH, Prince J (2015).  Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.  Neuroinformatics.  1-15.
  • Ibragimov B, Prince J, Murano EZ, Woo J, Stone M, Likar B, Pernus F, Vrtovec T (2015).  Segmentation of tongue muscles from super-resolution magnetic resonance images.  Medical image analysis.  20(1).  198-207.
  • Ye C, Murano E, Stone M, Prince J (2015).  A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.  Computerized Medical Imaging and Graphics.  45.  63-74.
  • Bilgel M, Jedynak B, Wong DF, Resnick SM, Prince JL (2015).  Temporal trajectory and progression score estimation from voxelwise longitudinal imaging measures: Application to amyloid imaging.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9123.  424-436.
  • Lang A, Carass A, Swingle EK, Al-Louzi O, Bhargava P, Saidha S, Ying HS, Calabresi PA, Prince JL (2015).  Automatic segmentation of microcystic macular edema in OCT.  Biomedical Optics Express.  6(1).  155-169.
  • Jedynak BM, Liu B, Lang A, Gel Y, Prince JL (2015).  A computational method for computing an Alzheimer's disease progression score; experiments and validation with the ADNI data set.  Neurobiology of Aging.  36(S1).  S178-S184.
  • Bhargava P, Lang A, Al-Louzi O, Carass A, Prince J, Calabresi PA, Saidha S (2015).  Applying an Open-Source Segmentation Algorithm to Different OCT Devices in Multiple Sclerosis Patients and Healthy Controls: Implications for Clinical Trials.  Multiple Sclerosis International.  2015.
  • Asoni A, Ketcha M, Kuo N, Chen L, Boctor E, Coon D, Prince JL (2015).  B-mode ultrasound pose recovery via surgical fiducial segmentation and tracking.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9415.
  • Swingle EK, Lang A, Carass A, Al-Louzi O, Saidha S, Prince JL, Calabresi PA (2015).  Segmentation of microcystic macular edema in Cirrus OCT scans with an exploratory longitudinal study.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9417.
  • Lang A, Carass A, Al-Louzi O, Bhargava P, Ying HS, Calabresi PA, Prince JL (2015).  Longitudinal graph-based segmentation of macular OCT using fundus alignment.  Progress in Biomedical Optics and Imaging - Proceedings of SPIE.  9413.
  • Roy S, Carass A, Prince JL, Pham DL (2015).  Longitudinal patch-based segmentation of multiple sclerosis white matter lesions.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9352.  194-202.
  • Jog A, Carass A, Pham DL, Prince JL (2015).  Tree-encoded conditional random fields for image synthesis.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9123.  733-745.
Books
Book Chapters
  • Bai Y, Han X, Prince JL (2015).  Geometric deformable models.  Handbook of Biomedical Imaging: Methodologies and Clinical Research.  83-104.
Conference Proceedings
  • Ye C, Zhuo J, Gullapalli RP, Prince J (2015).  Estimation of fiber orientations using neighbohood information.  MICCAI 2015 Workshop on Computational Diffusion MRI.
  • Bilgel M, An Y, Zhou Y, Wong DF, Prince J, Resnick SM (2015).  Age at onset of amyloid accumulation in relation to Apoe genotype.  Alzheimer's Association International Conference (AAIC).
  • Woo J, Xing F, Lee J, Stone M, Prince J (2015).  Construction of An Unbiased Spatio-Temporal Atlas of the Tongue During Speech.  Information Processing in Medical Imaging.  723-732.
  • Lang A, Carass A, Bittner AK, Ying HS, Prince J (2015).  Automated segmentation of macular SD-OCT scans of retinitis pigmentosa patients shows regional patterns of foveal inner retinal thickening that correlate with visual function.  Investigative Ophthalmology & Visual Science.  (7).  3811-3811.
  • Bilgel M, Resnick SM, Wong DF, Jedynak B, Prince J (2015).  Temporal progression of cerebral amyloid deposition as measured by 11C-PiB PET imaging.  Human Amyloid Imaging Conference.
  • Jog A, Carass A, Pham DL, Prince J (2015).  Multi-output decision trees for lesion segmentation in multiple sclerosis.  SPIE Medical Imaging.  94131C-94131C-6.
  • Bilgel M, Jedynak B, Wong DF, Resnick SM, Prince J (2015).  Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging.  Information Processing in Medical Imaging.  424-436.
  • Xing F, Ye C, Woo J, Stone M, Prince J (2015).  Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging.  SPIE Medical Imaging.  94131L-94131L-6.
  • Bilgel M, An Y, Wong DF, Prince J, Resnick SM (2015).  APOE e4 allele is associated with an earlier onset of amyloid accumulation.  Human Amyloid Imaging Conference.
  • Lang A, Carass A, Al-Louzi O, Bhargava P, Ying HS, Calabresi PA, Prince J (2015).  Longitudinal graph-based segmentation of macular OCT using fundus alignment.  SPIE Medical Imaging.  94130M-94130M-8.
  • Swingle EK, Lang A, Carass A, Al-Louzi O, Saidha S, Prince J, Calabresi PA (2015).  Segmentation of microcystic macular edema in Cirrus OCT scans with an exploratory longitudinal study.  SPIE Medical Imaging.  94170P-94170P-9.
  • Ye C, Glaister J, Prince J (2015).  Probabilistic fiber tracking using a modified Lasso bootstrap method.  Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on.  943-946.
  • Asoni A, Ketcha M, Kuo N, Chen L, Boctor E, Coon D, Prince J (2015).  B-Mode ultrasound pose recovery via surgical fiducial segmentation and tracking.  SPIE Medical Imaging.  94152C-94152C-8.
  • Roy S, Carass A, Prince J, Pham DL (2015).  Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions.  Machine Learning in Medical Imaging.  Springer International Publishing.  194-202.
  • Sigurdsson GA, Yang Z, Tran TD, Prince J (2015).  Interpretable exemplar-based shape classification using constrained sparse linear models.  SPIE Medical Imaging.  94130R-94130R-7.
  • Jog A, Carass A, Pham DL, Prince J (2015).  Tree-Encoded Conditional Random Fields for Image Synthesis.  Information Processing in Medical Imaging.  733-745.
  • Chen M, Jog A, Carass A, Prince J (2015).  Using image synthesis for multi-channel registration of different image modalities.  SPIE Medical Imaging.  94131Q-94131Q-7.
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