| Amide proton transfer imaging of the breast at 3 T: establishing reproducibility and possible feasibility assessing chemotherapy response AN Dula, LR Arlinghaus, RD Dortch, BE Dewey, JG Whisenant, GD Ayers, ... Magnetic resonance in medicine 70 (1), 216-224, 2013 | 192 | 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 | 191 | 2019 |
| Evaluating the impact of intensity normalization on MR image synthesis JC Reinhold, BE Dewey, A Carass, JL Prince Proceedings of SPIE--the International Society for Optical Engineering 10949, 2019 | 180 | 2019 |
| SMORE: a self-supervised anti-aliasing and super-resolution algorithm for MRI using deep learning C Zhao, BE Dewey, DL Pham, PA Calabresi, DS Reich, JL Prince IEEE transactions on medical imaging 40 (3), 805-817, 2020 | 122 | 2020 |
| Applications of a deep learning method for anti-aliasing and super-resolution in MRI C Zhao, M Shao, A Carass, H Li, BE Dewey, LM Ellingsen, J Woo, ... Magnetic resonance imaging 64, 132-141, 2019 | 89 | 2019 |
| Brain and retinal atrophy in African-Americans versus Caucasian-Americans with multiple sclerosis: a longitudinal study NG Caldito, S Saidha, ES Sotirchos, BE Dewey, NJ Cowley, J Glaister, ... Brain 141 (11), 3115-3129, 2018 | 89 | 2018 |
| Improved visualization of cortical lesions in multiple sclerosis using 7T MP2RAGE ES Beck, P Sati, V Sethi, T Kober, B Dewey, P Bhargava, G Nair, ... American Journal of Neuroradiology 39 (3), 459-466, 2018 | 82 | 2018 |
| Autoencoder based self-supervised test-time adaptation for medical image analysis Y He, A Carass, L Zuo, BE Dewey, JL Prince Medical image analysis 72, 102136, 2021 | 74 | 2021 |
| Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory L Zuo, BE Dewey, Y Liu, Y He, SD Newsome, EM Mowry, SM Resnick, ... NeuroImage 243, 118569, 2021 | 70 | 2021 |
| Self super-resolution for magnetic resonance images using deep networks C Zhao, A Carass, BE Dewey, JL Prince 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 68 | 2018 |
| Imaging outcome measures of neuroprotection and repair in MS: a consensus statement from NAIMS J Oh, D Ontaneda, C Azevedo, EC Klawiter, M Absinta, DL Arnold, ... Neurology 92 (11), 519-533, 2019 | 67 | 2019 |
| Assessment of early evidence of multiple sclerosis in a prospective study of asymptomatic high-risk family members Z Xia, SU Steele, A Bakshi, SR Clarkson, CC White, MK Schindler, G Nair, ... JAMA neurology 74 (3), 293-300, 2017 | 55 | 2017 |
| A disentangled latent space for cross-site MRI harmonization BE Dewey, L Zuo, A Carass, Y He, Y Liu, EM Mowry, S Newsome, J Oh, ... International conference on medical image computing and computer-assisted …, 2020 | 53 | 2020 |
| A deep learning based anti-aliasing self super-resolution algorithm for MRI C Zhao, A Carass, BE Dewey, J Woo, J Oh, PA Calabresi, DS Reich, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 53 | 2018 |
| Optimization of 7-T chemical exchange saturation transfer parameters for validation of glycosaminoglycan and amide proton transfer of fibroglandular breast tissue AN Dula, BE Dewey, LR Arlinghaus, JM Williams, D Klomp, TE Yankeelov, ... Radiology 275 (1), 255-261, 2015 | 43 | 2015 |
| Information-based disentangled representation learning for unsupervised MR harmonization L Zuo, BE Dewey, A Carass, Y Liu, Y He, PA Calabresi, JL Prince International Conference on Information Processing in Medical Imaging, 346-359, 2021 | 38 | 2021 |
| MRI evaluation of thalamic volume differentiates MS from common mimics AJ Solomon, R Watts, BE Dewey, DS Reich Neurology: Neuroimmunology & Neuroinflammation 4 (5), e387, 2017 | 38 | 2017 |
| Effect of disease-modifying therapies on subcortical gray matter atrophy in multiple sclerosis ES Sotirchos, N Gonzalez-Caldito, BE Dewey, KC Fitzgerald, J Glaister, ... Multiple Sclerosis Journal 26 (3), 312-321, 2020 | 34 | 2020 |
| Self domain adapted network Y He, A Carass, L Zuo, BE Dewey, JL Prince Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 34 | 2020 |
| Slowly eroding lesions in multiple sclerosis V Sethi, G Nair, M Absinta, P Sati, A Venkataraman, J Ohayon, T Wu, ... Multiple Sclerosis Journal 23 (3), 464-472, 2017 | 34 | 2017 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
