Dinggang Shen

Hivatkozott rá

	Összes	2019 óta
Hivatkozások	96588	67559
h-index	150	122
i10-index	1004	842

14000

7000

3500

10500

200420052006200720082009201020112012201320142015201620172018201920202021202220232024272 356 502 582 757 863 996 1340 1635 1966 2640 2807 3231 4148 5638 7578 9225 11850 12443 12996 13136

Nyilvános hozzáférés

Összes megtekintése

940 cikk

145 cikk

elérhető

nem érhető el

Finanszírozási megbízások alapján

Társszerzők

Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelE-mail megerősítve itt: med.unc.edu
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillE-mail megerősítve itt: med.unc.edu
Feng ShiUnited Imaging IntelligenceE-mail megerősítve itt: uii-ai.com
Li WangAssociate Professor, Director of Developing Brain Computing Lab, UNC-Chapel HillE-mail megerősítve itt: med.unc.edu
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityE-mail megerősítve itt: shanghaitech.edu.cn
Guorong WuAssociate ProfessorE-mail megerősítve itt: med.unc.edu
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillE-mail megerősítve itt: med.unc.edu
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiE-mail megerősítve itt: united-imaging.com
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIE-mail megerősítve itt: pennmedicine.upenn.edu
Han ZhangShanghaiTech UniversityE-mail megerősítve itt: shanghaitech.edu.cn
Mingxia LiuUniversity of North Carolina at Chapel HillE-mail megerősítve itt: med.unc.edu
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsE-mail megerősítve itt: nuaa.edu.cn
John H. GilmoreUniversity of North CarolinaE-mail megerősítve itt: med.unc.edu
Dong NieMeta Inc.E-mail megerősítve itt: cs.unc.edu
Jon XueR&D VP, United Imaging IntelligenceE-mail megerősítve itt: mias.us
Heung-Il SukProfessor, Department of Artificial Intelligence, Korea UniversityE-mail megerősítve itt: korea.ac.kr
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaE-mail megerősítve itt: cs.uga.edu
Kim Han ThungUniversity of North Carolina at Chapel HillE-mail megerősítve itt: email.unc.edu
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillE-mail megerősítve itt: email.unc.edu
Ehsan AdeliStanford UniversityE-mail megerősítve itt: stanford.edu

Követés

Dinggang Shen

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

E-mail megerősítve itt: shanghaitech.edu.cn - Kezdőlap

Medical Image Analysis Medical Image Computing Biomedical Image Analysis Image Registration


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19 (1), 221-248, 2017	5058	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	2073	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	1570	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	1471	2011
HAMMER: hierarchical attribute matching mechanism for elastic registration D Shen, C Davatzikos IEEE transactions on medical imaging 21 (11), 1421-1439, 2002	1302	2002
Lane detection and tracking using B-Snake Y Wang, EK Teoh, D Shen Image and Vision computing 22 (4), 269-280, 2004	1274	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	1071	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	1014	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	970	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	847	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	778	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	707	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	654	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	643	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	611	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	608	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	591	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	581	2013

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