Computer Vision News 44 CVPR Workshop The 10th edition of theMedical Computer Visionwas held at CVPR 2023 in a hybrid format. During the last decade, the MCV workshop aimed to bridge the gap between the medical image analysis and computer-aided intervention community and the computer vision community. A large number of distinguished researchers with backgrounds of engineering academics, clinicians and industry from the community have been invited to give keynote talks in the workshop. The clinician-researchers have shared their work, perspectives, experiences and expectations. This has provided a forum for exchanging ideas and potential new collaborations, encouraging more data sharing, advocating the building of medical image databases, and exchanging information on machine learning and computer vision frameworks in the context of medical image analysis. During the last decade, large-scale statistical learning approaches have been presented, with a focus on deep neural networks in particular. We envision MCV will continue to inspire ideas for next-generation technology. MCV@CVPR2023 The opportunity to present and attend MCV'23 in a hybrid fashion continued to be a great benefit, with 8 of our speakers presenting remotely and 5 joining us in person. There were also Q&A sessions with both the onsite and online audience. In total, there were over 50 online attendees and 50 onsite attendees, with topics ranging from generative and large-scale models to fetal ultrasound and minimally invasive robotic procedures. We welcomed industry keynotes fromShekoofeh Azizi representingGoogle DeepMindwho shared exciting ideas on “Exploring Foundation Models for Generalist MedicalAI” ; Muhammad Abdullah Jamal fromIntuitive Surgical who talked about latest findings “towards data-efficient learning for long surgical videoanalysis”, andChen Sagivspeaking the interesting topic about “Annotations at Scale for the creation of AI solutions in healthcare" on behalf ofDeePathology.ai , SagivTechandCAIO SurgeonAI . by Vasileios Belagiannis, workshop co-organizer Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany BEST OF CVPR 2023
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