| Current methods in medical image segmentation DL Pham, C Xu, JL Prince Annual review of biomedical engineering 2 (1), 315-337, 2000 | 3928 | 2000 |
| Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain SM Resnick, DL Pham, MA Kraut, AB Zonderman, C Davatzikos Journal of Neuroscience 23 (8), 3295-3301, 2003 | 1826 | 2003 |
| Adaptive fuzzy segmentation of magnetic resonance images DL Pham, JL Prince IEEE transactions on medical imaging 18 (9), 737-752, 1999 | 1052 | 1999 |
| An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities DL Pham, JL Prince Pattern recognition letters 20 (1), 57-68, 1999 | 737 | 1999 |
| Image segmentation using deformable models C Xu, DL Pham, JL Prince Handbook of medical imaging 2 (20), 0, 2000 | 594 | 2000 |
| Spatial models for fuzzy clustering DL Pham Computer vision and image understanding 84 (2), 285-297, 2001 | 564 | 2001 |
| Optical coherence tomography reflects brain atrophy in multiple sclerosis: a four‐year study S Saidha, O Al‐Louzi, JN Ratchford, P Bhargava, J Oh, SD Newsome, ... Annals of neurology 78 (5), 801-813, 2015 | 436 | 2015 |
| Statistical normalization techniques for magnetic resonance imaging RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ... NeuroImage: Clinical 6, 9-19, 2014 | 418 | 2014 |
| A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions N Shiee, PL Bazin, A Ozturk, DS Reich, PA Calabresi, DL Pham NeuroImage 49 (2), 1524-1535, 2010 | 395 | 2010 |
| Longitudinal multiple sclerosis lesion segmentation: resource and challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148, 77-102, 2017 | 362 | 2017 |
| An image-processing system for qualitative and quantitative volumetric analysis of brain images AF Goldszal, C Davatzikos, DL Pham, MXH Yan, RN Bryan, SM Resnick Journal of computer assisted tomography 22 (5), 827-837, 1998 | 342 | 1998 |
| CRUISE: cortical reconstruction using implicit surface evolution X Han, DL Pham, D Tosun, ME Rettmann, C Xu, JL Prince NeuroImage 23 (3), 997-1012, 2004 | 307 | 2004 |
| Reconstruction of the human cerebral cortex from magnetic resonance images C Xu, DL Pham, ME Rettmann, DN Yu, JL Prince IEEE Transactions on Medical Imaging 18 (6), 467-480, 1999 | 300 | 1999 |
| Relationships between retinal axonal and neuronal measures and global central nervous system pathology in multiple sclerosis S Saidha, ES Sotirchos, J Oh, SB Syc, MA Seigo, N Shiee, C Eckstein, ... JAMA neurology 70 (1), 34-43, 2013 | 259 | 2013 |
| DeepHarmony: A deep learning approach to contrast harmonization across scanner changes BE Dewey, C Zhao, JC Reinhold, A Carass, KC Fitzgerald, ES Sotirchos, ... Magnetic resonance imaging 64, 160-170, 2019 | 233 | 2019 |
| MRI of the corpus callosum in multiple sclerosis: association with disability A Ozturk, SA Smith, EM Gordon-Lipkin, DM Harrison, N Shiee, DL Pham, ... Multiple Sclerosis Journal 16 (2), 166-177, 2010 | 222 | 2010 |
| Random forest regression for magnetic resonance image synthesis A Jog, A Carass, S Roy, DL Pham, JL Prince Medical image analysis 35, 475-488, 2017 | 217 | 2017 |
| Neurofilament light as a biomarker in traumatic brain injury P Shahim, A Politis, A Van Der Merwe, B Moore, YY Chou, DL Pham, ... Neurology 95 (6), e610-e622, 2020 | 216 | 2020 |
| Time course and diagnostic utility of NfL, tau, GFAP, and UCH-L1 in subacute and chronic TBI P Shahim, A Politis, A Van Der Merwe, B Moore, V Ekanayake, SM Lippa, ... Neurology 95 (6), e623-e636, 2020 | 213 | 2020 |
| Association of cortical lesion burden on 7-T magnetic resonance imaging with cognition and disability in multiple sclerosis DM Harrison, S Roy, J Oh, I Izbudak, D Pham, S Courtney, B Caffo, ... JAMA neurology 72 (9), 1004-1012, 2015 | 211 | 2015 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins University在 jhu.edu 的电子邮件经过验证