报告题目：Artificial Intelligence for Medical Image Processing and Analysis （人工智能在医学图像处理与分析中的应用研究）
报告人：王秀英 教授
报告时间：2025年6月4日（星期三）上午10:00-11:00
报告地点：信息工程学院216会议室
报告摘要：
人工智能研究可溯源至理论神经生理学领域，近年来其发展迅速且广泛应用。尽管先进的传感器技术依然能够在分子与细胞水平实现疾病的成像及可视化，然而海量多模态成像数据的涌现，对自动计算、分析与量化方法提出了崭新的需求与严峻挑战，这对于全方位深入理解疾病本质，进而推动个性化精准医疗的实施至关重要。
本次报告着重分享了我们团队将人工智能技术用于医学图像处理的工作成果，研究聚焦于脑部疾病这一关键领域，旨在协助医生高效开展疾病的诊断、预后及预测分析工作。人类脑部疾病本质上属于正常状态范围之外的特殊系统状态，在功能与结构维度上均可能存在差异。我们介绍了所提出的针对细胞与病变/肿瘤检测与分割，以及全幅病理图像（Whole Slide Image, WSI）分析的人工智能方法，以期有力推动神经病理学的研究和实践迈向新的高度。
报告人简介：
王秀英，悉尼大学教授。A/Prof Xiuying Wang received her PhD in Computer Science from the University of Sydney in 2006. She is currently an Associate Professor in School of Computer Science at the University of Sydney. She has been the Associate Director of Multimedia Lab since 2009. She was the Chair of Outreach Engagement Committee for July 2017- Dec 2018 term, and the Associate Head, Research Education during Jan 2023 to Oct 2024. She is a guest professor at Shandong University and a guest PhD supervisor at Beijing Normal University, and was an honoured professor at Shanghai Cancer Centre, Fudan University. Her research focuses on quantitative data analysis and fusion as relates to multimodal imaging data computing. Her research focuses on image processing, clustering and segmentation, image registration and fusion, saliency detection and identification, and radiomics analysis for medical applications. In conjunction with her students and research collaborators, Dr. Wang has been publishing in top-tier venues and received paper awards from flagship conferences in her fields. She has been serving several editorial boards, and serves MICCAI 2026 as the Workshops Chair.