Large Models Meet Surgical Data Science

Miaojing Shi 

Miaojing is a Professor at Tongji University, Shanghai and a Visiting Senior Lecturer at King’s College London (KCL). He leads the VisCom research group. His current research interest lies in computer vision and its application in medical imaging, especially with the advent of large models. He was a Workshop Speaker/Organizer for IJCAI’23, ECCV’22, ACM MM’19, ICCV’17. 

Tom Vercauteren

Tom is a Professor of Interventional Image Computing at King's College London (KCL) where he leads the CAI4CAI research group. He is also co-founder and Chief Scientific Officer at Hypervision Surgical and acts as senior editor for the Medical Image Analysis journal. His research focuses on interventional medical imaging systems and their clinical translation. 

Daniel A. Hashimoto 

Daniel is an assistant professor of surgery at the Hospital of the University of Pennsylvania (HUP) and of computer and information science at Penn Engineering. He is the director of PCASO Lab and is a foregut and endoscopic surgeon and translational surgical data scientist. His primary research interests are in applications of computer vision to intraoperative surgical decision-making and the development of automated feedback mechanisms for surgical trainees. He led CLINICCAI, a MICCAI event dedicated to healthcare practitioners. 

Hao Chen 

Hao is an Assistant Professor at the Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology (HKUST). His research interests lie in Trustworthy AI for Healthcare, Medical Image analysis, Computer-Assisted Intervention and Bioinformatics. He serves as Workshop Organizer of MICCAI’24, IJCAI’24. 

Yueming Jin 

Yueming is an Assistant Professor at the Department of Biomedical Engineering and Department of Electrical and Computer Engineering at the National University of Singapore (NUS). Her research interests include artificial intelligence and its applications in robotic surgical data science and medical image computing. She serves as Workshop Organizer of IJCAI’24, ICLR’23, MICCAI’22-24. 

Chinedu Nwoye 

Chinedu is a post-doctoral research fellow at IHU/ICube laboratory France. He works in close collaborations with the IHU MixSurg institute, the IRCAD institute and the Strasbourg University Hospitals for medical data and other support. His research focuses on surgical workflow analysis and generative AI in surgery. He serves as lead organizer of MICCAI EndoVIS CholecTriplet’21-22.