Titlebook: Data Engineering in Medical Imaging; Second MICCAI Worksh Binod Bhattarai,Sharib Ali,Danail Stoyanov Conference proceedings 2025 The Editor

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,Self-Supervised Pretraining for?Cardiovascular Magnetic Resonance Cine Segmentation,ovascular magnetic resonance (CMR) short-axis cine segmentation. However, inconsistent reports of the benefits of SSP for segmentation have made it difficult to apply SSP to CMR. Therefore, this study aimed to evaluate SSP methods for CMR cine segmentation..To this end, short-axis cine stacks of 296

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,Patient-Level Contrastive Learning for?Enhanced Biomarker Prediction in?Retinal Imaging,etinal images to predict biomarkers for non-retinal diseases such as cardiovascular disease and chronic kidney disease has shown promise. However, despite the success of utilizing retinal images, significant challenges remain. One major issue is the limited availability of retinal images with linked

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,Improving NeRF Representation with?No Pose Prior for?Novel View Synthesis in?Colonoscopy,e screening process. A reliable 3D reconstruction of the surveyed area could mitigate those limitations and improve the diagnosis and treatment outcomes. Most 3D reconstruction frameworks rely on two fundamental tasks: a) a reliable camera depth prediction, and b) an accurate camera pose estimation.

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,Task-Aware Active Learning for?Endoscopic Polyp Segmentation,such a problem is the lack of annotated data. Endoscopic annotations necessitate the specialist knowledge of expert endoscopists, and hence the difficulty of organizing arises along with tremendous costs in time and budget. To address this problem, we investigate an active learning paradigm to reduc

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Conference proceedings 20257th International conference on?Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in?Marrakesh, Morocco, on October 10, 2024...The 18 papers presented in this book were carefully reviewed and selected. These papers focus on the application of various Data engineering technique

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