浙江工业大学物理学院
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博学堂讲座
New Opportunities in Medical Image Analysis (第183讲)
浏览量:1530    发布时间:2016-07-07 09:48:01

报告题目:New Opportunities in Medical Image Analysis

报告人:Prof. Shuo Li

报告时间:10:00-11:30

报告地点:理A110

讲座主题:New Opportunities in Medical Image Analysis
讲座时间:2016年7月14日,上午10:00-11:30
讲座地点:浙江工业大学屏峰校区理A110
主讲人: Prof. Shuo Li (李硕),Department of medical imaging and medical biophysics in the University of Western Ontario and scientist in Lawson Health Research Institute
 
 
报告摘要(Abstract):
Medical image analysis is going through great changes with tremendous new opportunities showing up. The rise of machine learning, the rise of big data analytics and the rise of cloud computing, have brought wonderfulopportunities to invent newgeneration of medical image analysis, not onlyto solve new problems appearing, but also to solve many years challenges in conventional medical image analysis with much more satisfactory real time solutions. This talk will share our experience on developing state-of-art new generation of image analytics tools to help physicians, hospital administrative to analyze the huge growing medical data and help them to make the right decision and early decision..
主讲人简介:
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. 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.
 
 
欢迎感兴趣的老师与同学参加!
博学堂讲座
New Opportunities in Medical Image Analysis (第183讲)
浏览量:1530    发布时间:2016-07-07 09:48:01

报告题目:New Opportunities in Medical Image Analysis

报告人:Prof. Shuo Li

报告时间:10:00-11:30

报告地点:理A110

讲座主题:New Opportunities in Medical Image Analysis
讲座时间:2016年7月14日,上午10:00-11:30
讲座地点:浙江工业大学屏峰校区理A110
主讲人: Prof. Shuo Li (李硕),Department of medical imaging and medical biophysics in the University of Western Ontario and scientist in Lawson Health Research Institute
 
 
报告摘要(Abstract):
Medical image analysis is going through great changes with tremendous new opportunities showing up. The rise of machine learning, the rise of big data analytics and the rise of cloud computing, have brought wonderfulopportunities to invent newgeneration of medical image analysis, not onlyto solve new problems appearing, but also to solve many years challenges in conventional medical image analysis with much more satisfactory real time solutions. This talk will share our experience on developing state-of-art new generation of image analytics tools to help physicians, hospital administrative to analyze the huge growing medical data and help them to make the right decision and early decision..
主讲人简介:
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. 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.
 
 
欢迎感兴趣的老师与同学参加!