報告人：王猛 博士 新加坡國立大學
主持人：陳陽
報告時間：2024年12月26日（周四）上午10:00
報告地點：bet356手机版唯一官网九龍湖校區計算機樓513報告廳
報告摘要：Artificial intelligence (AI) has the potential to revolutionize healthcare, but concerns about reliability hinder its widespread adoption. In this talk, I will introduce several works that focus on enhancing the reliability of AI models in medical applications. These works explore methods to improve model reliability without compromising performance, and increase the transparency of AI decision-making processes. By discussing these advancements, I aim to shed light on the current challenges and potential solutions for making AI models trustworthy in healthcare settings.
報告人簡介：王猛博士，新加坡國立大學Research Fellow，主要從事醫學人工智能與多模态影像分析研究。擔任IEEE Journal of Biomedical and Health Informatics和Frontiers in Medicine客座編輯。曾于新加坡科技研究局（A*STAR）高性能計算研究所及哈佛醫學院擔任Scientist和Postdoctoral Research Fellow。研究方向涵蓋計算機視覺、醫學圖像分析、醫學影像大模型及可信人工智能等領域。迄今已發表學術論文40餘篇，包括Nature Communications、Cell Reports Medicine、IEEE Transactions on Pattern Analysis and Machine Intelligence、IEEE Transactions on Medical Imaging等國際頂級期刊，以及CVPR、MICCAI等國際頂級會議，并參與編寫專著《Federated Learning for Medical Imaging》。
