Minjeong Kim
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Improved image registration by sparse patch-based deformation estimation
M Kim, G Wu, Q Wang, SW Lee, D Shen
Neuroimage 105, 257-268, 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, 1143-1152, 2007
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