Dinggang Shen

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

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Dinggang Shen

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

Email confirmado em shanghaitech.edu.cn - Página inicial

Medical Image Analysis Medical Image Computing Biomedical Image Analysis Image Registration


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19 (1), 221-248, 2017	5216	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	2292	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	1600	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	1483	2011
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1318	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1284	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	1077	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	1026	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	976	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	917	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	787	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	703	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	658	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	657	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	649	2009
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	610	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	609	2015
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	608	2005
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	595	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	586	2013

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