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 | 334 | 2015 |
Deformable image registration based on similarity-steered CNN regression X Cao, J Yang, J Zhang, D Nie, M Kim, Q Wang, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 247 | 2017 |
Unsupervised deep feature learning for deformable registration of MR brain images G Wu, M Kim, Q Wang, Y Gao, S Liao, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 203 | 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 | 111 | 2015 |
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 | 106 | 2016 |
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 | 104 | 2013 |
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 | 99 | 2016 |
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 | 89 | 2009 |
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 | 78 | 2017 |
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification Y Li, J Liu, X Gao, B Jie, M Kim, PT Yap, CY Wee, D Shen Medical image analysis 52, 80-96, 2019 | 75 | 2019 |
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 | 69 | 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 | 61 | 2014 |
Toward an interpretable Alzheimer’s disease diagnostic model with regional abnormality representation via deep learning E Lee, JS Choi, M Kim, HI Suk, ... NeuroImage 202, 116113, 2019 | 52 | 2019 |
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 | 50 | 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 48 | 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 | 47 | 2010 |
Unsupervised deep learning for hippocampus segmentation in 7.0 Tesla MR images M Kim, G Wu, D Shen Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013 …, 2013 | 44 | 2013 |
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 | 42 | 2015 |
Improved image registration by sparse patch-based deformation estimation M Kim, G Wu, Q Wang, SW Lee, D Shen Neuroimage 105, 257-268, 2015 | 42 | 2015 |
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 | 42 | 2013 |