Dzung L. Pham
Dzung L. Pham
Uniformed Services University of the Health Sciences
Verified email at - Homepage
Cited by
Cited by
Current methods in medical image segmentation
DL Pham, C Xu, JL Prince
Annual review of biomedical engineering 2 (1), 315-337, 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
Adaptive fuzzy segmentation of magnetic resonance images
DL Pham, JL Prince
IEEE transactions on medical imaging 18 (9), 737-752, 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
Image segmentation using deformable models
C Xu, DL Pham, JL Prince
Handbook of medical imaging 2 (20), 0, 2000
Spatial models for fuzzy clustering
DL Pham
Computer vision and image understanding 84 (2), 285-297, 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
Statistical normalization techniques for magnetic resonance imaging
RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ...
NeuroImage: Clinical 6, 9-19, 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
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
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
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
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
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
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
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
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
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
Fuzzy clustering with spatial constraints
DL Pham
Proceedings. International Conference on Image Processing 2, II-II, 2002
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
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