Dinggang Shen

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

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Dinggang Shen

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

在 shanghaitech.edu.cn 的电子邮件经过验证 - 首页

Medical Image Analysis Medical Image Computing Biomedical Image Analysis Image Registration


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19 (1), 221-248, 2017	5026	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	2057	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	1566	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	1467	2011
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1301	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1273	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	1068	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	1007	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	965	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	846	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	651	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	643	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	640	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	610	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	606	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	599	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	579	2013

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