Dinggang Shen

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Medeauteurs

Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelGeverifieerd e-mailadres voor med.unc.edu
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillGeverifieerd e-mailadres voor med.unc.edu
Li WangAssistant Professor of Radiology, Director of Developing Brain Computing Lab, UNC-Chapel HillGeverifieerd e-mailadres voor med.unc.edu
Feng ShiUnited Imaging IntelligenceGeverifieerd e-mailadres voor uii-ai.com
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityGeverifieerd e-mailadres voor shanghaitech.edu.cn
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillGeverifieerd e-mailadres voor med.unc.edu
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIGeverifieerd e-mailadres voor pennmedicine.upenn.edu
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiGeverifieerd e-mailadres voor united-imaging.com
Guorong WuAssistant ProfessorGeverifieerd e-mailadres voor med.unc.edu
Mingxia LiuUniversity of North Carolina at Chapel HillGeverifieerd e-mailadres voor med.unc.edu
Han ZhangShanghaiTech UniversityGeverifieerd e-mailadres voor shanghaitech.edu.cn
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsGeverifieerd e-mailadres voor nuaa.edu.cn
John H. GilmoreUniversity of North CarolinaGeverifieerd e-mailadres voor med.unc.edu
Dong NieAlibaba Inc.Geverifieerd e-mailadres voor cs.unc.edu
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, KoreaGeverifieerd e-mailadres voor korea.ac.kr
Jon XueR&D VP, United Imaging IntelligenceGeverifieerd e-mailadres voor mias.us
Kim Han ThungUniversity of North Carolina at Chapel HillGeverifieerd e-mailadres voor email.unc.edu
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillGeverifieerd e-mailadres voor email.unc.edu
Ehsan AdeliStanford UniversityGeverifieerd e-mailadres voor stanford.edu
Yong FanUniversity of PennsylvaniaGeverifieerd e-mailadres voor ieee.org

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Dinggang Shen

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

Geverifieerd e-mailadres voor shanghaitech.edu.cn - Homepage

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


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19, 221-248, 2017	3817	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	1530	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	1319	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	1282	2020
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1265	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1235	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	885	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	869	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	858	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	769	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	702	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	657	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	594	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	585	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	578	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	538	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	530	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	526	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	515	2013
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	497	2018

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