报告时间：2021年11月29日（星期一）10:30-12:00

报告平台：腾讯会议（ID：799 115 349）

报 告 人：窦琪 助理教授

工作单位：香港中文大学

举办单位：管理学院

报告简介：

With advancements in medicine and information technologies, the operating room has undergone tremendous transformations evolving into a highly complicated environment. These achievements furthers innovate the surgery procedure and have great promise to enhance the patient's safety. Within the new generation of operating theatre, the computer-assisted system plays an important role to provide surgeons with reliable contextual support. In this talk, I will present a series of deep learning methods towards interdisciplinary researches at artificial intelligence for surgical robotic perception, for automated surgical workflow analysis, instrument presence detection, surgical tool segmentation, surgical scene perception, etc. The proposed methods cover a wide range of deep learning topics including design of network architectures, novel learning strategies such as attention mechanism, multi-task learning, transfer learning, adversarial training, etc. The challenges, up-to-date progresses and promising future directions of AI-powered context-aware operating theaters will also be discussed.

报告人简介：

窦琪，香港中文大学助理教授，研究方向为机器学习及其在医学影像分析和手术机器人领域的应用。曾获MedIA-MICCAI最佳论文奖、MICCAI Young Scientist Award Finalist、香港科学会青年科学家奖、香港中文大学优秀博士论文奖、ISBI LUNA肺结节检测挑战赛冠军，蝉联MICCAI手术流程识别挑战赛2016&2019冠军等。近5年在ICRA、CVPR、TMI、MedIA、TBME等会议和期刊发表论文近百篇。