Dinggang Shen

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Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelVerified email at med.unc.edu
Pew-Thian YapAssociate Professor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillVerified email at med.unc.edu
Li WangAssistant Professor of Radiology, Director of Developing Brain Computing Lab, UNC-Chapel HillVerified email at med.unc.edu
Feng ShiUnited Imaging IntelligenceVerified email at united-imaging.com
Christos DavatzikosDirector, Center for Biomedical Image Computing and Analytics, Professor of Radiology, andVerified email at uphs.upenn.edu
Gang LiUniversity of North Carolina at Chapel HillVerified email at med.unc.edu
Qian WangMed-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiVerified email at united-imaging.com
Guorong WuAssistant ProfessorVerified email at med.unc.edu
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
Mingxia LiuUNC at Chapel HillVerified email at med.unc.edu
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, KoreaVerified email at korea.ac.kr
Han ZhangInstitute of Brain-Intelligence Technology, ZHANGJIANG LAB, ShanghaiVerified email at ieee.org
John H. GilmoreUniversity of North CarolinaVerified email at med.unc.edu
Dong NieAlibaba Inc.Verified email at cs.unc.edu
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillVerified email at email.unc.edu
Yong FanUniversity of PennsylvaniaVerified email at ieee.org
Minjeong KimAssistant Professor of Computer Science, University of North Carolina at GreensboroVerified email at uncg.edu
Kim Han ThungUniversity of North Carolina at Chapel HillVerified email at email.unc.edu
Jon XueR&D VP, United Imaging IntelligenceVerified email at mias.us

Dinggang Shen

Professor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence

Verified email at shanghaitech.edu.cn

Medical Image Analysis Medical Image Computing Biomedical Image Analysis Image Registration Brain Connectivity


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19, 221-248, 2017	1733	2017
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1145	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1050	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	1028	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	622	2015
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	555	2014
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	528	2005
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	515	2012
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	501	2016
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	476	2009
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	449	2009
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	445	2017
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	417	2008
Discriminative wavelet shape descriptors for recognition of 2-D patterns D Shen, HHS Ip Pattern recognition 32 (2), 151-165, 1999	384	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	378	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	366	2004
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	349	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	341	2012
Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for covid-19 F Shi, J Wang, J Shi, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen IEEE reviews in biomedical engineering, 2020	340	2020
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis HI Suk, SW Lee, D Shen Brain Structure and Function 220 (2), 841-859, 2015	338	2015

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