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李 硕


发表日期:2018-03-25 作者:管理员
姓名:李硕
性别:
出生年月:1974年6月
 
导师类别:硕导(与杜秀全副教授联名招生)
技术职称:兼职教授
 
联系方式
slishuo@gmail.com
 
招生专业名称
计算机应用技术
 
主要研究方向
1. Machine learning
 
 
2. Medical images analysis
 
 
3. Computer aided Diagnosis
 
个人简历
Dr. Shuo Li is an associate professor in department of medical imaging and medical biophysics in the University of Western Ontario and scientist in Lawson Health Research Institute, Canada. Before this position he was research scientist and project manager in general electric (GE) healthcare, Canada for 9 years. He fund and direct the Digital Imaging Group of London (http://digitalimaginggroup.ca/) since 2006, which is a very dynamic and highly multiple disciplinary collaboration group. He received his Ph.D. degree in computer science from Concordia University 2006, where his PhD thesis won the doctoral prize giving to the most deserving graduating student in the faculty of engineering and computer science. He has published over 100 publications; He is the recipient of several GE internal awards; He serves as guest editors and associate editor in several prestigious journals in the field; He servers as program committee members in highly influential conferences; He is the editors of five springer books. His current interest is development intelligent analytic tools to help physicians and hospital administrative to handle the big medical data, centered with medical images.
学术成果
1.Wufeng Xue, Gary Brahm, Sachin Pandey, Stephanie Leung, Shuo Li, Full Left Ventricle Quantification via Deep Multitask Relationships Learning, Medical Image Analysis (MedIA), 2018
2.Bin Gu, Yingying Shan, Victor S. Sheng, Shuo Li, Sparse Regression with Output Correlation for Cardiac Ejection Fraction Estimation, Information Sciences, 2018
3.Zhongyi Han, Benzheng Wei, Stephanie Leung, Ilanit Ben Nachum, David Laidley, and Shuo Li, Automated Pathogenesis-based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning, Neuroinformatics, 2018
4.Xiaoxu He, Stephanie Leung, James Warrington, Olga Shmuilovich, and Shuo Li, Automated Neural Foraminal Stenosis Grading via Task-aware Structural Representation Learning. Neurocomputing, 2018
5.Shen Zhao, Zhifan Gao, Heye Zhang, Yaoqin Xie, Dhanjoo Ghista, Zhongong Wei, Xiaojun Bi, Huahua Xiong, Chenchu Xu, Shuo Li, Robust Segmentation of Intima-Media Borders with Di erent Morphologies and Dynamics During the Cardiac Cycle. IEEE Journal of Biomedical and Health Informatics (J-BHI), 2018.
6.Xiuquan Du, Weiwei Zhang, Heye Zhang, Jun Chen, Yanping Zhang, James Claude Warrington, Gary Brahm, and Shuo Li, Deep Regression Segmentation for Cardiac Bi-ventricle MR Images, IEEE Access, 2018.
7.Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong, Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang and Shuo Li, Motion Tracking of the Carotid Artery Wall Motion From the Ultrasound Image Sequences: a Nonlinear State-space Approach, IEEE Transaction on Medical Imaging (TMI), 2017
获奖情况
1.MICCAI Young Scientist Award 2017
2.Annual Award for Academic Excellence in Research, Department of Medical Imaging, Western University, 2017
3.Country Present Award, RSNA, 2014
4.Above & Beyond Award, GE, 2014
5.Above & Beyond Bronze Award, GE, 2012
6.Innovation award, GE, 2009
7.GE Hero award, GE, 2008
8.Management award, GE, 2008
9.Innovation award, GE, 2008
10.Doctoral prize, Concordia University, 2007
在研项目
1. Discovery Grant/ Natural Sciences and Engineering Research Council of Canada (NSERC), 2014/4-2019/3, principal investigator
2. IBM, 2013-2017, principal investigator
3. SOSCIP/Ontario Center of Excelenece, 2016-2019, principal investigator