Dinggang Shen

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Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelDirección de correo verificada de med.unc.edu
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillDirección de correo verificada de med.unc.edu
Li WangAssistant Professor of Radiology, Director of Developing Brain Computing Lab, UNC-Chapel HillDirección de correo verificada de med.unc.edu
Feng ShiUnited Imaging IntelligenceDirección de correo verificada de uii-ai.com
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityDirección de correo verificada de shanghaitech.edu.cn
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillDirección de correo verificada de med.unc.edu
Christos DavatzikosDirector, Center for Biomedical Image Computing and Analytics, Professor of Radiology, andDirección de correo verificada de pennmedicine.upenn.edu
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiDirección de correo verificada de united-imaging.com
Guorong WuAssistant ProfessorDirección de correo verificada de med.unc.edu
Mingxia LiuUNC-Chapel HillDirección de correo verificada de med.unc.edu
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsDirección de correo verificada de nuaa.edu.cn
Han ZhangShanghaiTech UniversityDirección de correo verificada de shanghaitech.edu.cn
John H. GilmoreUniversity of North CarolinaDirección de correo verificada de med.unc.edu
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, KoreaDirección de correo verificada de korea.ac.kr
Dong NieAlibaba Inc.Dirección de correo verificada de cs.unc.edu
Jon XueR&D VP, United Imaging IntelligenceDirección de correo verificada de mias.us
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillDirección de correo verificada de email.unc.edu
Kim Han ThungUniversity of North Carolina at Chapel HillDirección de correo verificada de email.unc.edu
Yong FanUniversity of PennsylvaniaDirección de correo verificada de ieee.org
Minjeong KimAssistant Professor of Computer Science, University of North Carolina at GreensboroDirección de correo verificada de uncg.edu

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Dinggang Shen

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

Dirección de correo verificada de shanghaitech.edu.cn - Página principal

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


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19, 221, 2017	2780	2017
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1199	2002
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	1191	2011
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1124	2004
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	1016	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	935	2020
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	763	2015
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	738	2014
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), 1-13, 2016	709	2016
Medical image synthesis with context-aware generative adversarial networks D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen International conference on medical image computing and computer-assisted …, 2017	630	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	611	2012
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	560	2005
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	543	2009
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	538	2009
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	529	2020
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging C Davatzikos, Y Fan, X Wu, D Shen, SM Resnick Neurobiology of aging 29 (4), 514-523, 2008	453	2008
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	445	2011
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 International conference on medical image computing and computer-assisted …, 2014	444	2014
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis HI Suk, SW Lee, D Shen Brain Structure and Function 220 (2), 841-859, 2015	442	2015
Deep learning-based feature representation for AD/MCI classification HI Suk, D Shen International conference on medical image computing and computer-assisted …, 2013	425	2013

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