Computer Vision News - October 2021

67 Computer Vision for Automated Medical Diagnosis “For my PhD research, I performed accurate segmentation and detection fromdifferent medical images, especially for smallerandmorechallengingsubjects like tumors. I also began to study the issues of generalization , transfer , and robustness because there can be a huge gap when you transfer your technology from one hospital to another hospital, or one population group to another. This is why these existing technologies cannot be fully trusted to be applied to real- world clinical applications yet. A lot of my research focus has shifted to studying how to make these existing techniques more robust and have better transfer characteristics and better generalization to different problems.” The team are currently finalizing the details for the ICCV workshop. Yuyin’s diverse band of co-organizers include Lequan Yu from the University of Hong Kong; Maithra Raghu from Google Brain ; Qi Dou from the Chinese University of Hong Kong ; Yuankai Huo , Assistant Professor at Vanderbilt University; Holger Roth , a Senior Applied Research Scientist at NVIDIA ; and many other professors and senior scholars from different affiliations. “We hope that everybody can join our workshop,” Yuyin adds, finally. “We have such an amazing line- up of speakers and people covering different topics. Please take part in the discussions and ask lots of questions. You will definitely learn something new. I guarantee it!”