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 WangAssociate Professor, 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
Guorong WuAssociate ProfessorDirección de correo verificada de med.unc.edu
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillDirección de correo verificada de med.unc.edu
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIDirección de correo verificada de pennmedicine.upenn.edu
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiDirección de correo verificada de united-imaging.com
Han ZhangShanghaiTech UniversityDirección de correo verificada de shanghaitech.edu.cn
Mingxia LiuUniversity of North Carolina at Chapel HillDirección de correo verificada de med.unc.edu
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsDirección de correo verificada de nuaa.edu.cn
John H. GilmoreUniversity of North CarolinaDirección de correo verificada de med.unc.edu
Dong NieMeta Inc.Dirección de correo verificada de cs.unc.edu
Heung-Il SukDepartment of Artificial Intelligence, Korea UniversityDirección de correo verificada de korea.ac.kr
Jon XueR&D VP, United Imaging IntelligenceDirección de correo verificada de mias.us
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaDirección de correo verificada de cs.uga.edu
Kim Han ThungUniversity of North Carolina at Chapel HillDirección de correo verificada de email.unc.edu
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillDirección de correo verificada de email.unc.edu
Ehsan AdeliStanford UniversityDirección de correo verificada de stanford.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


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 (1), 221-248, 2017	4781	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	1942	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	1522	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	1448	2011
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1294	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1260	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	1048	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	989	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	951	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	828	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	767	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	695	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	637	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	628	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	612	2018
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	604	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	592	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	588	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	574	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	565	2013

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