报告题目：To do excellent medical image analysis research

报告摘要

Undertaking exceptional research, particularly in the challenging domain of multi-disciplinary studies such as medical image analysis, is no small feat. In this talk, utilizing a PhD thesis as a case study, we illustrate the three typical phases of research: warm-up, core research, and in-depth exploration. It showcases how researchers could embark on their research journey by identifying and addressing a practical problem in medical image analysis. As the research progresses, they delve deeper into the subject matter, uncovering novel insights and generating a portfolio of cutting-edge advancements. Through this case study, we shed light on the dynamic and ever-evolving landscape of the field, providing a glimpse into the remarkable contributions made through diligent research efforts.

嘉宾简介

Dr. Li is a global leader conducting multi-disciplinary research to enable artificial intelligence (AI) in clinical imaging. He is an associate professor at Case Western Reserve University. Before that, he was an associate professor at Western University and a Lawson Health Research Institute scientist. He was a scientist at GE Healthcare (2006-2015). He is a committee member in multiple highly influential conferences and societies. He is most notable for serving on the prestigious board of directors in the MICCAI society (2015-2024), where he is also the general chair for the MICCAI 2022 conference, the most influential AI-in-imaging conference. He has over 200 publications, acted as the editor for six Springer books, and serves as an associate editor for several prestigious journals in the field. He has received several awards from GE, various institutes, and international organizations throughout his career.