Dinggang Shen
Dinggang Shen
Professor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence
Verified email at shanghaitech.edu.cn
Cited by
Cited by
Deep learning in medical image analysis
D Shen, G Wu, HI Suk
Annual review of biomedical engineering 19, 221-248, 2017
HAMMER: hierarchical attribute matching mechanism for elastic registration
D Shen, C Davatzikos
IEEE transactions on medical imaging 21 (11), 1421-1439, 2002
Lane detection and tracking using B-Snake
Y Wang, EK Teoh, D Shen
Image and Vision computing 22 (4), 269-280, 2004
Multimodal classification of Alzheimer's disease and mild cognitive impairment
D Zhang, Y Wang, L Zhou, H Yuan, D Shen, ...
Neuroimage 55 (3), 856-867, 2011
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen
NeuroImage 108, 214-224, 2015
Classifying spatial patterns of brain activity with machine learning methods: application to lie detection
C Davatzikos, K Ruparel, Y Fan, DG Shen, M Acharyya, JW Loughead, ...
Neuroimage 28 (3), 663-668, 2005
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
HI Suk, SW Lee, D Shen, Alzheimer's Disease Neuroimaging Initiative
NeuroImage 101, 569-582, 2014
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease
D Zhang, D Shen, Alzheimer's Disease Neuroimaging Initiative
NeuroImage 59 (2), 895-907, 2012
Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects
W Gao, H Zhu, KS Giovanello, JK Smith, D Shen, JH Gilmore, W Lin
Proceedings of the National Academy of Sciences 106 (16), 6790-6795, 2009
Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans
JZ Cheng, D Ni, YH Chou, J Qin, CM Tiu, YC Chang, CS Huang, D Shen, ...
Scientific reports 6 (1), 1-13, 2016
Longitudinal pattern of regional brain volume change differentiates normal aging from MCI
I Driscoll, C Davatzikos, Y An, X Wu, D Shen, M Kraut, SM Resnick
Neurology 72 (22), 1906-1913, 2009
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
C Davatzikos, Y Fan, X Wu, D Shen, SM Resnick
Neurobiology of aging 29 (4), 514-523, 2008
Discriminative wavelet shape descriptors for recognition of 2-D patterns
D Shen, HHS Ip
Pattern recognition 32 (2), 151-165, 1999
COMPARE: classification of morphological patterns using adaptive regional elements
Y Fan, D Shen, RC Gur, RE Gur, C Davatzikos
IEEE transactions on medical imaging 26 (1), 93-105, 2006
Morphological classification of brains via high-dimensional shape transformations and machine learning methods
Z Lao, D Shen, Z Xue, B Karacali, SM Resnick, C Davatzikos
Neuroimage 21 (1), 46-57, 2004
Medical image synthesis with context-aware generative adversarial networks
D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Infant brain atlases from neonates to 1-and 2-year-olds
F Shi, PT Yap, G Wu, H Jia, JH Gilmore, W Lin, D Shen
PloS one 6 (4), e18746, 2011
Identification of MCI individuals using structural and functional connectivity networks
CY Wee, PT Yap, D Zhang, K Denny, JN Browndyke, GG Potter, ...
Neuroimage 59 (3), 2045-2056, 2012
Puberty-related influences on brain development
JN Giedd, LS Clasen, R Lenroot, D Greenstein, GL Wallace, S Ordaz, ...
Molecular and cellular endocrinology 254, 154-162, 2006
Segmentation of prostate boundaries from ultrasound images using statistical shape model
D Shen, Y Zhan, C Davatzikos
IEEE transactions on medical imaging 22 (4), 539-551, 2003
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