Computer Vision News - November 2022

46 ECCV Workshop the University of Bern, Switzerland) led us on an odyssey through digital pathology with the question “ How will the digital revolution affect personalized medicine and what will the pathology of the future look like? ”. Finally, Dimitris Metaxas (Distinguished Professor at Rutgers University, USA) concluded the workshop presentations with an overview of novel deep learning methods that provided new insights into the relationship between pathological image features, molecular outcomes and targeted therapies. The digital pathology track included nine Besides the presentation of the submitted works, the workshop also hosted three invited keynote speakers, who shared their experiences on the development of AI models in digital pathology, with a journey from its initial steps, through what is being done now and also towards the future direction of the field. At the beginning of the day, Henning Müller (Full Professor at the HES-SO Valais, Switzerland) started by presenting the ExaMode project, a practical approach for machine learning in digital pathology. Then, in the afternoon, Inti Zlobec (Professor at Sara Pires de Oliveira is finishing her PhD at the Faculty of Engineering of the University of Porto (FEUP) and a Research Assistant at INESC TEC. The AIMIA workshop was held virtually on October 24, 2022, on a full day of great talks and papers presentations, divided into the digital pathology and the radiology/COVID19 tracks. As part of the ECCV 2022, the workshop’s goal was to provide a platform for scientific discussion on medical image analysis/ processing, introducing the challenges of whole-slide images and CT/MRI/X- ray images to the computer vision and artificial intelligence community. AI-ENABLED MEDICAL IMAGE ANALYSIS WORKSHOP (AIMIA) by Sara P. Oliveira BEST ECC