| Scalable high-performance image registration framework by unsupervised deep feature representations learning G Wu, M Kim, Q Wang, BC Munsell, D Shen IEEE Transactions on Biomedical Engineering 63 (7), 1505-1516, 2015 | 161 | 2015 |
| Unsupervised deep feature learning for deformable registration of MR brain images G Wu, M Kim, Q Wang, Y Gao, S Liao, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 93 | 2013 |
| Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition G Wu, M Kim, G Sanroma, Q Wang, BC Munsell, D Shen, ... NeuroImage 106, 34-46, 2015 | 87 | 2015 |
| RABBIT: rapid alignment of brains by building intermediate templates S Tang, Y Fan, G Wu, M Kim, D Shen NeuroImage 47 (4), 1277-1287, 2009 | 83 | 2009 |
| Diffusion tensor imaging based network analysis detects alterations of neuroconnectivity in patients with clinically early relapsing‐remitting multiple sclerosis Y Li, V Jewells, M Kim, Y Chen, A Moon, D Armao, L Troiani, ... Human brain mapping 34 (12), 3376-3391, 2013 | 79 | 2013 |
| Deformable image registration based on similarity-steered CNN regression X Cao, J Yang, J Zhang, D Nie, M Kim, Q Wang, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 72 | 2017 |
| The role of endogenous IFN-β in the regulation of Th17 responses in patients with relapsing-remitting multiple sclerosis Y Tao, X Zhang, M Chopra, MJ Kim, KR Buch, D Kong, J Jin, Y Tang, ... The Journal of Immunology 192 (12), 5610-5617, 2014 | 51 | 2014 |
| S‐HAMMER: Hierarchical attribute‐guided, symmetric diffeomorphic registration for MR brain images G Wu, M Kim, Q Wang, D Shen Human brain mapping 35 (3), 1044-1060, 2014 | 51 | 2014 |
| Multi‐task diagnosis for autism spectrum disorders using multi‐modality features: A multi‐center study J Wang, Q Wang, J Peng, D Nie, F Zhao, M Kim, H Zhang, CY Wee, ... Human brain mapping 38 (6), 3081-3097, 2017 | 48 | 2017 |
| Estimating functional brain networks by incorporating a modularity prior L Qiao, H Zhang, M Kim, S Teng, L Zhang, D Shen Neuroimage 141, 399-407, 2016 | 44 | 2016 |
| TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation G Wu, PT Yap, M Kim, D Shen NeuroImage 49 (3), 2225-2233, 2010 | 40 | 2010 |
| Topographical information-based high-order functional connectivity and its application in abnormality detection for mild cognitive impairment H Zhang, X Chen, F Shi, G Li, M Kim, P Giannakopoulos, S Haller, D Shen Journal of Alzheimer's Disease 54 (3), 1095-1112, 2016 | 37 | 2016 |
| Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models M Kim, G Wu, W Li, L Wang, YD Son, ZH Cho, D Shen NeuroImage 83, 335-345, 2013 | 35 | 2013 |
| A general fast registration framework by learning deformation–appearance correlation M Kim, G Wu, PT Yap, D Shen IEEE Transactions on Image Processing 21 (4), 1823-1833, 2011 | 34 | 2011 |
| Early diagnosis of Alzheimer’s disease by joint feature selection and classification on temporally structured support vector machine Y Zhu, X Zhu, M Kim, D Shen, G Wu International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 33 | 2016 |
| Improved image registration by sparse patch-based deformation estimation M Kim, G Wu, Q Wang, SW Lee, D Shen Neuroimage 105, 257-268, 2015 | 33 | 2015 |
| Robust border enhancement and detection for measurement of fetal nuchal translucency in ultrasound images YB Lee, MJ Kim, MH Kim Medical & biological engineering & computing 45 (11), 1143-1152, 2007 | 32 | 2007 |
| Predict brain MR image registration via sparse learning of appearance and transformation Q Wang, M Kim, Y Shi, G Wu, D Shen, ... Medical image analysis 20 (1), 61-75, 2015 | 30 | 2015 |
| Unsupervised deep learning for hippocampus segmentation in 7.0 Tesla MR images M Kim, G Wu, D Shen International Workshop on Machine Learning in Medical Imaging, 1-8, 2013 | 30 | 2013 |
| MCI identification by joint learning on multiple MRI data Y Gao, CY Wee, M Kim, P Giannakopoulos, ML Montandon, S Haller, ... International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 20 | 2015 |
Dinggang ShenProfessor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
