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
Guorong WuAssociate ProfessorVerified email at med.unc.edu
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
Han ZhangShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
John H. GilmoreUniversity of North CarolinaVerified email at med.unc.edu
Dong NieMeta Inc.Verified email at cs.unc.edu
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, KoreaVerified email at korea.ac.kr
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
Ehsan AdeliStanford UniversityVerified email at stanford.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

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	3980	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	1614	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	1348	2011
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	1327	2020
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1274	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1237	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	905	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	887	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), 24454, 2016	883	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	802	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	716	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	664	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	602	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	596	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	582	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	549	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	547	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	538	2011
Medical image synthesis with deep convolutional adversarial networks D Nie, R Trullo, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen IEEE Transactions on Biomedical Engineering 65 (12), 2720-2730, 2018	521	2018
Deep learning-based feature representation for AD/MCI classification HI Suk, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	519	2013

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