Computer Vision News - October 2021

65 Computer Vision for Automated Medical Diagnosis “We want to bring researchers in the computer vision, machine learning, healthcare, and clinical fields together to discuss the current progress and the related challenges which are yet to be addressed. What are the next steps? What possible solutions should we be looking for? Are there any important research directions in the field that we haven’t explored yet?” Their first meeting at ICCV later this month already has a stellar line-up of speakers on board, including Russell Taylor from Johns Hopkins University , who will be discussing Autonomy and Semi-Autonomous Behavior in Surgical Robot Systems. “I think this topic is one of the most important and has not been addressed enough in the computer vision community,” Yuyin tells us. “We’ve also got Demetri Terzopoulos , a distinguished professor at UCLA who is heavily involved in the medical industry. He is going to talk about how to bridge the gap between medical research, computer vision, and industry. We are also going to feature my advisor, Matthew Lungren , an Associate Professor of Radiology at Stanford , who will speak from a doctor’s perspective.” Another benefit of this module is that it does not require long run-time, allowing fast and easy implementation in the clinic. Other confirmed speakers include Yizhou Yu – How should machines analyze medical images to aid diagnosis? – and Lena Maier-Hein – Statistics meets machine learning in biomedical image analysis. There will also be 10 engaging oral talks from UCLA, University of Oxford, Google, and more.