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 YapProfessor 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 uii-ai.com
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillVerified email at med.unc.edu
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIVerified email at pennmedicine.upenn.edu
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiVerified email at united-imaging.com
Guorong WuAssistant ProfessorVerified email at med.unc.edu
Mingxia LiuUNC-Chapel HillVerified email at med.unc.edu
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
Han ZhangShanghaiTech UniversityVerified email at shanghaitech.edu.cn
John H. GilmoreUniversity of North CarolinaVerified email at med.unc.edu
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, KoreaVerified email at korea.ac.kr
Dong NieAlibaba Inc.Verified email at cs.unc.edu
Jon XueR&D VP, United Imaging IntelligenceVerified email at mias.us
Kim Han ThungUniversity of North Carolina at Chapel HillVerified email at email.unc.edu
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillVerified email at email.unc.edu
Ehsan AdeliStanford UniversityVerified email at stanford.edu
Minjeong KimAssistant Professor of Computer Science, University of North Carolina at GreensboroVerified email at uncg.edu

Dinggang Shen

Prof. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence

Verified email at shanghaitech.edu.cn - Homepage

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	3465	2017
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018	1369	2018
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	1292	2011
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1244	2002
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 14, 4-15, 2020	1192	2020
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1163	2004
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	838	2014
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	833	2015
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	803	2016
Medical image synthesis with context-aware generative adversarial networks D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	729	2017
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	683	2012
Lung infection quantification of COVID-19 in CT images with deep learning F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi arXiv preprint arXiv:2003.04655, 2020	637	2020
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	579	2009
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	570	2009
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	569	2005
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis HI Suk, SW Lee, D Shen, Alzheimer’s Disease Neuroimaging Initiative Brain Structure and Function 220, 841-859, 2015	508	2015
Deep learning based imaging data completion for improved brain disease diagnosis R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014	505	2014
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	503	2011
Deep learning-based feature representation for AD/MCI classification HI Suk, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	490	2013
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	468	2008

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