Guorong Wu

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Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceEmail confirmado em shanghaitech.edu.cn
Minjeong KimAssociate Professor and Head, Dept. of Computer Science, University of North Carolina at GreensboroEmail confirmado em uncg.edu
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityEmail confirmado em shanghaitech.edu.cn
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillEmail confirmado em med.unc.edu
Hongjun JiaUniversity of North CarolinaEmail confirmado em unc.edu
Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelEmail confirmado em med.unc.edu
Feng ShiUnited Imaging IntelligenceEmail confirmado em uii-ai.com
Xiaofeng ZHUUniversity of Electronic Science and Technology of China (电子科技大学)Email confirmado em massey.ac.nz
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiEmail confirmado em united-imaging.com
Li WangAssociate Professor, Director of Developing Brain Computing Lab, UNC-Chapel HillEmail confirmado em med.unc.edu
Gerard Sanroma-GuellBayerEmail confirmado em bayer.com
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsEmail confirmado em nuaa.edu.cn
Shu LiaoUnited Imaging IntelligenceEmail confirmado em united-imaging.com
Feiping NieOPTIMALEmail confirmado em mails.tsinghua.edu.cn
Kim Han ThungUniversity of North Carolina at Chapel HillEmail confirmado em email.unc.edu
John H. GilmoreUniversity of North CarolinaEmail confirmado em med.unc.edu
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillEmail confirmado em email.unc.edu
Luping ZhouSchool of Electrical and Computer Engineering, University of SydneyEmail confirmado em sydney.edu.au
Lichi ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong UniversityEmail confirmado em sjtu.edu.cn
Gang LiProfessor, Department of Radiology, University of North Carolina at Chapel HillEmail confirmado em med.unc.edu

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Guorong Wu

Associate Professor

Email confirmado em med.unc.edu - Página inicial

Medical Image Analysis Pattern recognition machine learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19 (1), 221-248, 2017	5258	2017
Visibility in bad weather from a single image RT Tan 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	3467	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	597	2011
Scalable high-performance image registration framework by unsupervised deep feature representations learning G Wu, M Kim, Q Wang, BC Munsell, D Shen IEEE transactions on biomedical engineering 63 (7), 1505-1516, 2015	354	2015
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data GR Wu, W Liao, S Stramaglia, JR Ding, H Chen, D Marinazzo Medical image analysis 17 (3), 365-374, 2013	311	2013
DynamicBC: A MATLAB Toolbox for Dynamic Brain Connectome Analysis W Liao, GR Wu, Q Xu, GJ Ji, Z Zhang, YF Zang, G Lu Brain connectivity 4 (10), 780-790, 2014	274	2014
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features Y Li, Y Wang, G Wu, F Shi, L Zhou, W Lin, D Shen, ... Neurobiology of aging 33 (2), 427. e15-427. e30, 2012	224	2012
Unsupervised deep feature learning for deformable registration of MR brain images G Wu, M Kim, Q Wang, Y Gao, S Liao, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	217	2013
Machine learning in medical imaging D Zhang, G Wu, L Zhou Springer International Publishing, 2014	165	2014
SharpMean: groupwise registration guided by sharp mean image and tree-based registration G Wu, H Jia, Q Wang, D Shen NeuroImage 56 (4), 1968-1981, 2011	147	2011
ABSORB: Atlas building by self-organized registration and bundling H Jia, G Wu, Q Wang, D Shen NeuroImage 51 (3), 1057-1070, 2010	141	2010
A generative probability model of joint label fusion for multi-atlas based brain segmentation G Wu, Q Wang, D Zhang, F Nie, H Huang, D Shen Medical image analysis 18 (6), 881-890, 2014	140	2014
Longitudinal test-retest neuroimaging data from healthy young adults in southwest China W Liu, D Wei, Q Chen, W Yang, J Meng, G Wu, T Bi, Q Zhang, XN Zuo, ... Scientific data 4 (1), 1-9, 2017	135	2017
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data E Adeli, F Shi, L An, CY Wee, G Wu, T Wang, D Shen NeuroImage 141, 206-219, 2016	125	2016
Learning-based deformable registration of MR brain images G Wu, F Qi, D Shen IEEE transactions on medical imaging 25 (9), 1145-1157, 2006	124	2006
Disrupted brain functional network in internet addiction disorder: a resting-state functional magnetic resonance imaging study CY Wee, Z Zhao, PT Yap, G Wu, F Shi, T Price, Y Du, J Xu, Y Zhou, ... PloS one 9 (9), e107306, 2014	118	2014
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition G Wu, M Kim, G Sanroma, Q Wang, BC Munsell, D Shen, ... NeuroImage 106, 34-46, 2015	117	2015
Abnormal functional connectivity density in psychogenic non-epileptic seizures J Ding, D An, W Liao, G Wu, Q Xu, D Zhou, H Chen Epilepsy research 108 (7), 1184-1194, 2014	115	2014
Consistent reconstruction of cortical surfaces from longitudinal brain MR images G Li, J Nie, G Wu, Y Wang, D Shen, ... Neuroimage 59 (4), 3805-3820, 2012	110	2012
Information transfer and criticality in the Ising model on the human connectome D Marinazzo, M Pellicoro, G Wu, L Angelini, JM Cortés, S Stramaglia PloS one 9 (4), e93616, 2014	105	2014

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