Computer Vision News - July 2023

45 Medical Computer Vision Computer Vision News On the academic side, we enjoyed insightful keynotes on medical image analysis with large-scale data and models including talks from Marco Lorenzi from INRIA shared about “Federated, secure and auditable AI for medical imaging applications”, and Sharon Xiaolei Huang from Penn State University who talked about “Generating synthetic images and videos for data augmentation and sharing in medical applications”, and Ehsan Adeli from Stanford University who shared insights on “Bias and confounders in medical studies in the age of large-scale models” . We also had great keynotes on computer-assisted surgery and robotics including talks from Stamatia Giannarou from Imperial College London who shared about “Cognitive Vision for Surgical Guidance during Cancer Resection”, and Duygu Sarikaya from the University of Leeds showing impressive talk on “Complementing Surgeons with Situation Awareness using Computer Vision”, and Hongliang Ren from the Chinese University of Hong Kong who talked about “Surgical motion understanding and generation towards augmented minimally invasive roboticprocedures” . Abdishakour Awale and Duygu Sarikaya, Using Human Gaze For Surgical Activity Recognition: “ To guide the training of the 3D attention module, adopted from Lu et al.'s work, we use predicted gaze points on the JIGSAWS dataset generated with a gaze prediction model learned using egocentric videos. The predicted attention map A is combined with the input feature map X to produce a more relevant feature map X ′ .

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