Dinggang Shen

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引用	98930	62343
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i10 指標	1021	806

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946 件の論文

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共著者

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

フォロー

Dinggang Shen

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

確認したメールアドレス: shanghaitech.edu.cn - ホームページ

Medical Image Analysis Medical Image Computing Biomedical Image Analysis Image Registration


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19 (1), 221-248, 2017	5203	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	2156	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	1598	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	1491	2011
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1314	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1278	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	1082	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	1031	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	977	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	862	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	786	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	708	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	661	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	653	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	651	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	615	2014
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	611	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	609	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	599	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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