| 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 | 431 | 2015 |
| Longitudinal multiple sclerosis lesion segmentation: resource & challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148, 77–102, 2017 | 367 | 2017 |
| 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 | 219 | 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 | 213 | 2015 |
| Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis A Carass, S Roy, A Gherman, JC Reinhold, A Jesson, T Arbel, O Maier, ... Scientific Reports 10 (1), 1-19, 2020 | 194 | 2020 |
| Magnetic Resonance Image Example Based Contrast Synthesis S Roy, A Carass, J Prince IEEE Transactions on Medical Imaging 32 (12), 2348 - 2363, 2013 | 160 | 2013 |
| Robust Skull Stripping Using Multiple MR Image Contrasts Insensitive to Pathology S Roy, JA Butman, DL Pham, ADN Initiative NeuroImage 146, 132–147, 2016 | 131 | 2016 |
| Volumetric analysis from a harmonized multisite brain MRI study of a single subject with multiple sclerosis RT Shinohara, J Oh, G Nair, PA Calabresi, C Davatzikos, J Doshi, ... American Journal of Neuroradiology 38 (8), 1501-1509, 2017 | 130 | 2017 |
| Multiple sclerosis lesion segmentation from brain MRI via fully convolutional neural networks S Roy, JA Butman, DS Reich, PA Calabresi, DL Pham arXiv preprint arXiv:1803.09172, 2018 | 110 | 2018 |
| PET Attenuation Correction Using Synthetic CT from Ultrashort Echo-Time MR Imaging S Roy, WT Wang, A Carass, JL Prince, JA Butman, DL Pham Journal of Nuclear Medicine 55 (12), 2071-2077, 2014 | 93 | 2014 |
| A compressed sensing approach for MR tissue contrast synthesis S Roy, A Carass, J Prince Information Processing in Medical Imaging 6801, 371-383, 2011 | 93 | 2011 |
| Magnetic resonance image synthesis through patch regression A Jog, S Roy, A Carass, JL Prince 10th IEEE International Symposium on Biomedical Imaging (ISBI), 2013, 350-353, 2013 | 89 | 2013 |
| Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation S Roy, Q He, E Sweeney, A Carass, DS Reich, JL Prince, DL Pham IEEE Journal of Biomedical and Health Informatics 19 (5), 1598 - 1609, 2015 | 86 | 2015 |
| MR Image Synthesis by Contrast Learning On Neighborhood Ensembles A Jog, A Carass, S Roy, DL Pham, JL Prince Medical Image Analysis 24 (1), 63–76, 2015 | 83 | 2015 |
| MR to CT registration of brains using image synthesis S Roy, A Carass, A Jog, JL Prince, J Lee Proc SPIE 9034, 903419, 2014 | 80 | 2014 |
| Thalamic lesions in multiple sclerosis by 7T MRI: Clinical implications and relationship to cortical pathology DM Harrison, J Oh, S Roy, ET Wood, A Whetstone, MA Seigo, CK Jones, ... Multiple Sclerosis Journal 21 (9), 1139-1150, 2015 | 71 | 2015 |
| Cross contrast multi-channel image registration using image synthesis for MR brain images M Chen, A Carass, A Jog, J Lee, S Roy, JL Prince Medical Image Analysis 36, 2-14, 2016 | 59 | 2016 |
| MR contrast synthesis for lesion segmentation S Roy, A Carass, N Shiee, DL Pham, JL Prince 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010 | 59 | 2010 |
| Longitudinal multiple sclerosis lesion segmentation data resource A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... Data in brief 12, 346-350, 2017 | 50 | 2017 |
| Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation SW Remedios, S Roy, C Bermudez, MB Patel, JA Butman, BA Landman, ... Medical physics 47 (1), 89-98, 2020 | 40 | 2020 |
Dzung L. PhamUniformed Services University of the Health Sciencesยืนยันอีเมลแล้วที่ usuhs.edu