学术报告:Machine Learning Based Automatic Medical Image Analysis

发布人:网络空间安全学院发布时间:2019-11-08动态浏览次数:14

香港城市大学电子学院首席教授Kwok Wa Leung(梁国华)一行将于1113日(下周三)下午到我院访问交流,介绍科研情况和联合培养博士项目。

时间:1113日下午2:30          地点:计算机楼142

        1、学术报告“Machine Learning Based Automatic Medical Image Analysis”,具体简介见附件。

        2、介绍香港城市大学暑期实习和暑期学校项目。

        3、介绍香港博士联合培养项目(提供25800港币/月的额外补助)

4          4、与学院师生进行合作科研、学生交流方面的讨论。

Topic: Machine Learning Based Automatic Medical Image Analysis

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 wonderful opportunities to invent a new generation of medical image analysis. This talk will share my experience in developing state-of-the-art methods to help physicians to analyze the huge growing medical data and make the right and early decision.

Topics of this talk will include fully-automated abnormality classification and recognition for Endoscopy images. Validation results will be presented to demonstrate the effectiveness of our methods to deal with medical problems.

Biography: Dr. Yixuan YUAN is an Assistant Professor in the Department of Electrical Engineering, City University of Hong Kong (CityU) since April 2018. She received her BEng. degree in Information Countermeasure from Northwestern Polytechnical University, Xi'an, China, in 2010, and the Ph.D. degree from the Department of Electronic Engineering at the Chinese University of Hong Kong, in 2016, supported by the Hong Kong PhD Fellowship Scheme. During 2010-2012, she conducted research on the brain imaging area in the lab of pattern recognition and intelligent system in Northwestern Polytechnical University. She was a postdoctoral fellow in the Department of Radiation Oncology, Stanford Cancer Center, at Stanford University during 2017-2018. Her research focuses on developing machine learning methods for medical image diagnosis. She has received a number of research awards, including 2017 Young Scientist Award from Hong Kong Institute of Science; School of Medicine Dean's Postdoctoral Fellowship of Stanford University; Student Research Award from the Medical and Healthcare Device Industries Association in Hong Kong; Global Scholarship Programme for Research Excellence Award from CUHK; Overseas Research Attachment Programme Award from CUHK; Toshio Fukuda Best Paper award in Mechatronics from IEEE International Conference on Mechatronics and Automation.