Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay

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Milda Pocevi?iūt?,Gabriel Eilertsen,Stina Garvin,Claes Lundstr?mers which determine the sequence of pairings that each single crew has to perform over the given time period, to cover every day all the pairings selected in the first phase. In this paper, we give an outline of different ways of modeling the two subproblems and possible solution methods. Two main s

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Yuncheng Jiang,Zixun Zhang,Ruimao Zhang,Guanbin Li,Shuguang Cui,Zhen Li

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You Don’t Have to?Be Perfect to?Be Amazing: Unveil the?Utility of?Synthetic Images models is mostly based on image quality measurements, and most researchers favor synthetic images that produce realistic images, i.e., images with good fidelity scores, such as low Fréchet Inception Distance (FID) and high Peak Signal-To-Noise Ratio (PSNR). However, the quality of synthetic images

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cOOpD: Reformulating COPD Classification on?Chest CT Scans as?Anomaly Detection Using Contrastive Remonary Disease (COPD) is a prime example, being underdiagnosed despite being the third leading cause of death. Its sparse, diffuse and heterogeneous appearance on computed tomography challenges supervised binary classification. We reformulate COPD binary classification as an anomaly detection task,