Dinggang Shen

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Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelEmail verificata su med.unc.edu
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillEmail verificata su med.unc.edu
Li WangAssociate Professor, Director of Developing Brain Computing Lab, UNC-Chapel HillEmail verificata su med.unc.edu
Feng ShiUnited Imaging IntelligenceEmail verificata su uii-ai.com
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityEmail verificata su shanghaitech.edu.cn
Guorong WuAssociate ProfessorEmail verificata su med.unc.edu
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillEmail verificata su med.unc.edu
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIEmail verificata su pennmedicine.upenn.edu
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiEmail verificata su united-imaging.com
Han ZhangShanghaiTech UniversityEmail verificata su shanghaitech.edu.cn
Mingxia LiuUniversity of North Carolina at Chapel HillEmail verificata su med.unc.edu
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsEmail verificata su nuaa.edu.cn
John H. GilmoreUniversity of North CarolinaEmail verificata su med.unc.edu
Dong NieMeta Inc.Email verificata su cs.unc.edu
Jon XueR&D VP, United Imaging IntelligenceEmail verificata su mias.us
Heung-Il SukProfessor, Department of Artificial Intelligence, Korea UniversityEmail verificata su korea.ac.kr
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaEmail verificata su cs.uga.edu
Kim Han ThungUniversity of North Carolina at Chapel HillEmail verificata su email.unc.edu
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillEmail verificata su email.unc.edu
Ehsan AdeliStanford UniversityEmail verificata su stanford.edu

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Dinggang Shen

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

Email verificata su shanghaitech.edu.cn - Home page

Medical Image Analysis Medical Image Computing Biomedical Image Analysis Image Registration


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19 (1), 221-248, 2017	5005	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	2052	2018
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	1562	2020
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	1466	2011
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1302	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1272	2004
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	1066	2016
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	1009	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	963	2015
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	844	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	777	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	706	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	649	2009
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	641	2018
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	639	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	609	2005
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	604	2014
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	598	2015
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	588	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	578	2013

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