Yinghuan Shi

Cited by

	All	Since 2016
Citations	1266	1130
h-index	18	17
i10-index	31	27

540

270

135

405

2011201220132014201520162017201820192020202114 18 23 36 35 49 77 122 214 527 137

Co-authors

Dinggang ShenProfessor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Jing HuoNanjing UniversityVerified email at nju.edu.cn
Lei WangSchool of Computing and Information Technology, University of WollongongVerified email at uow.edu.au
Wanqi YangNanjing Normal UniversityVerified email at njnu.edu.cn
Lei QiNanjing UniversityVerified email at smail.nju.edu.cn
Luping ZhouSchool of Electrical and Information Engineering, University of SydneyVerified email at sydney.edu.au
Qian WangMed-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Kelei HeNanjing UniversityVerified email at nju.edu.cn
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiVerified email at united-imaging.com
Wenbin LiNanjing UniversityVerified email at nju.edu.cn
Hujun YinSchool of Electrical and Electronic Engineering, The University of ManchesterVerified email at manchester.ac.uk
Shu LiaoUnited Imaging IntelligenceVerified email at united-imaging.com
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, KoreaVerified email at korea.ac.kr
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
Longbing CaoUniversity of Technology Sydney, AustraliaVerified email at uts.edu.au
Sang Hyun ParkDaegu Gyeongbuk Institute of Science & Technology, South KoreaVerified email at dgist.ac.kr
Hao WangKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Xiaohuan CaoUnited Imaging Intelligence, ShanghaiVerified email at united-imaging.com
Dong NieAlibaba Inc.Verified email at cs.unc.edu
Yang GaoNanjing University, ChinaVerified email at nju.edu.cn

Yinghuan Shi

Nanjing University

Verified email at nju.edu.cn - Homepage

Medical Image Analysis Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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, 2020	278	2020
Real-time abnormal event detection in complicated scenes Y Shi, Y Gao, R Wang ICPR, 3653-3656, 2010	82	2010
International conference on medical image computing and computer-assisted intervention T Xu, H Zhang, X Huang, S Zhang, DN Metaxas	61	2016
Semi-automatic segmentation of prostate in CT images via coupled feature representation and spatial-constrained transductive lasso Y Shi, Y Gao, S Liao, D Zhang, Y Gao, D Shen IEEE TPAMI 37 (11), 2286-2303, 2015	51*	2015
Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis B Yu, L Zhou, L Wang, Y Shi, J Fripp, P Bourgeat IEEE TMI, 2019	45	2019
MRM-lasso: A sparse multiview feature selection method via low-rank analysis W Yang, Y Gao, Y Shi, L Cao IEEE TNNLS 26 (11), 2801-2815, 2015	44	2015
A novel unsupervised camera-aware domain adaptation framework for person re-identification L Qi, L Wang, J Huo, L Zhou, Y Shi, Y Gao ICCV, 8080-8089, 2019	42	2019
Pelvic organ segmentation using distinctive curve guided fully convolutional networks K He, X Cao, Y Shi, D Nie, Y Gao, D Shen IEEE TMI 38 (2), 585-595, 2018	38	2018
Maskreid: A mask based deep ranking neural network for person re-identification L Qi, J Huo, L Wang, Y Shi, Y Gao arXiv preprint arXiv:1804.03864, 2018	37	2018
Crossbar-net: A novel convolutional neural network for kidney tumor segmentation in ct images Q Yu, Y Shi, J Sun, Y Gao, J Zhu, Y Dai IEEE TIP 28 (8), 4060-4074, 2019	35*	2019
Webcaricature: a benchmark for caricature recognition J Huo, W Li, Y Shi, Y Gao, H Yin arXiv preprint arXiv:1703.03230, 2017	31	2017
Multimodal sparse representation-based classification for lung needle biopsy images Y Shi, Y Gao, Y Yang, Y Zhang, D Wang IEEE TBME 60 (10), 2675-2685, 2013	29	2013
Group-based alternating direction method of multipliers for distributed linear classification H Wang, Y Gao, Y Shi, R Wang IEEE TCYB, 2016	28	2016
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso Y Shi, Y Gao, S Liao, D Zhang, Y Gao, D Shen IEEE TPAMI 37 (11), 2286-2303, 2015	27	2015
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis Y Shi, HI Suk, Y Gao, D Shen CVPR, 2721-2728, 2014	27	2014
XCSc: A novel approach to clustering with extended classifier system L Shi, Y Shi, Y Gao, L Shang, Y Yang IJNS 21 (01), 79-93, 2011	27	2011
Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning J Huo, Y Gao, Y Shi, W Yang, H Yin IEEE TCYB, 2017	26	2017
Interactive prostate segmentation using atlas‐guided semi‐supervised learning and adaptive feature selection SH Park, Y Gao, Y Shi, D Shen Medical Physics 41 (11), 2014	23	2014
Cross-modal metric learning for auc optimization J Huo, Y Gao, Y Shi, H Yin IEEE TNNLS 29 (10), 4844-4856, 2018	20	2018
Automatic prostate MR image segmentation with sparse label propagation and domain-specific manifold regularization S Liao, Y Gao, Y Shi, A Yousuf, I Karademir, A Oto, D Shen IPMI 23, 511, 2013	18	2013

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