Keynotes

Prof. James Zou

Stanford University

Title: Using medical Twitter to create visual-language AI for pathology

Abstract: The lack of large-scale expert annotated images is a major bottleneck for medical AI. I will describe how we curate images and comments shared on Twitter to create OpenPath, one of the largest public datasets of pathology images with textual descriptions. We then used OpenPath to develop PLIP, a visual-language foundation model that can be used for zero-shot diagnosis and image-to-image and text-to-image retrievals.

Biography: James Zou is an assistant professor of Biomedical Data Science, CS and EE at Stanford University. He is also the faculty director of Stanford AI4Health. He works on both improving the foundations of ML -- by making models more trustworthy and reliable -- as well as in-depth scientific and clinical applications. Many of his innovations are widely used in tech and biotech industries.  He has received a Sloan Fellowship, an NSF CAREER Award, two Chan-Zuckerberg Investigator Awards, a Top Ten Clinical Achievement Award, several best paper awards, and faculty awards from Google, Amazon, Tencent and Adobe.

Prof. Nassir Navab

Technical University of Munich (TUM)

Title: Particularity and Challenges of Machine Learning for Intra-operative Imaging:  Towards precision and Intelligence in high intensity, dynamic environments

Biography: Nassir Navab is a full professor and director of the Laboratories for Computer Aided Medical Procedures (CAMP: http://campar.in.tum.de) at Technical University of Munich (TUM) and an adjunct Professor at Johns Hopkins University (http://camp.lcsr.jhu.edu/). He is also the director of biannual Medical Augmented Reality (http://medicalaugmentedreality.org/) school series at Balgrist Hospital in Zurich. He is a Member of Akademia Europaea, and received the prestigious MICCAI Enduring Impact Award in 2021 and IEEE ISMAR 10 Years Lasting Impact Award in 2015. In 2001, while acting as distinguished member of technical staff at Siemens Corporate Research (SCR) in Princeton, he received the prestigious Siemens Inventor of the Year Award for the body of his work in interventional imaging. He also received the SMIT Technology Innovation Award in 2010. He is Fellow of the MICCAI Society and acted on its board of directors from 2007 to 2012 and from 2014 to 2017. He is also an IEEE Fellow and Fellow of Asia-Pacific Artificial Intelligence Association (AAIA) and one of the founders of IEEE Symposium on Mixed and Augmented Reality (ISMAR) and has been serving on its Steering Committee since 2001. He is the author of hundreds of peer reviewed scientific papers and over 100 granted US and international patents. As of Sept 20, 2023, his papers have received over 68.800 citations and enjoy an h-index of 112.