Minimally invasive surgery has played a great role in the modern healthcare with smaller incisions and shorter recovery time of patients. During intra-operative care, videos captured by digital cameras advance the interventional and surgical procedures by providing vision beyond human capabilities in magnification and sensitivity. Automatic and intelligent visual perception is fundamentally crucial for promoting cognitive assistance to surgeons and improving patient care. Nowadays, exploding amount of surgical videos collected in clinical centres offer enormous opportunities, by developing a new generation of data analytics methods, i.e., the cutting-edge Artificial Intelligence (AI) techniques, to boost the accuracy of perception. 

In this talk, I will share our latest interdisciplinary researches on developing advanced AI techniques for various surgical visual perception tasks, to improve surgical workflow analysis, robotic instrument segmentation, surgical scene understanding, etc. The proposed methods cover a wide range of deep learning topics on network architecture design and novel learning strategy development, such as spatial-temporal representation learning, label-efficient learning, video-language learning, etc. The challenges, up-to-date progresses, and future promises will also be discussed.

Biography:

Dr. Yueming JIN is an Assistant Professor at Department of Biomedical Engineering, and Electrical and Computer Engineering at National University of Singapore. Before that, she was a senior research fellow at the Department of Computer Science at University College London. She has received her Ph.D. degree in the Department of Computer Science and Engineering from The Chinese University of Hong Kong. Her research interests are developing artificial intelligence and machine learning techniques, with an emphasized application to robotic surgical video and medical image. She obtained Hong Kong PhD Fellowship in 2015. She received several premium awards including Best Paper Award of MedIA-MICCAI in 2017, NIH Award in MICCAI 2020, Young Scientist Publication Impact Award Finalist in MICCAI 2021, Best Paper Award in Medical Robotics in ICRA 2021. She also led team winning four international grand challenges about robotic surgical data science. She has published 40+ papers in top-tier conferences and high impact journals in this area. She serves as Area Chair of MICCAI’23, IPCAI’23, Session Chair of ICRA’21, Workshop and Challenge Organizer of ICLRW’23, MICCAI’22. Her current Google Scholar citation is 2000+ with h-index 18.