Computer Vision News - April 2022

47 Medical Computer Vision The team is also seeking a diverse range of attendees by promoting the event within industry and inviting MD-PhDs who have a practice in addition to being researchers. “ It is critically important for researchers in this area to be proficient engineers and translators between the language and requirements of the end-users of our product, ” Mathias explains. “ If we’re developing in a sandbox without appreciating the needs in the clinic, what impact will we ever have? ” Before organizing this year’s event, Yuyin and Mathias took part in last year’s workshop as speakers. Yuyin was also and the fields of MIC and CAI. The cast list includes Xiaoxiao Li , Assistant Professor at the University of British Columbia, speaking about fairness and federated learning, and Professor Polina Golland fromMIT, who has broad expertise inmany different clinical problems. Also, several other professors working in medical image analysis and general computer vision, including Ben Glocker from Imperial College London and Pablo Arbelaez from the University of Los Andes (Colombia). With more speakers from industry to be confirmed, it looks set to be a stellar line- up. Of course, our readers already know many of these researchers. A look at Mathias’ work [ Liu, X., Stiber, M., Huang, J., Ishii, M., Hager, G. D., Taylor, R. H., & Unberath, M. (2020, October). Reconstructing sinus anatomy from endoscopic video–towards a radiation-free approach for quantitative longitudinal assessment. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 3-13). Springer, Cham. ]