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CMRVision: A Foundation Model for Cardiac MR Image Analysis
Cardiac magnetic resonance (CMR) imaging provides complementary information on cardiac anatomy, function, and tissue characterization across multiple sequences and views. In this work, we investigate foundation model pretraining for 2D CMR and introduce CMRVision, a CMR-specific foundation model trained using DINOv3-style self-supervised learning on a multi-center, multi-sequence cohort of 36 million CMR images. We systematically evaluate architectural and training design choices for domain-specific pretraining. CMRVision is evaluated on two downstream tasks: multi-task segmentation across cin
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- arXiv · AI, language, vision and robotics · 2026-09-01T14:34:30.000Z
First collected: 2026-09-21T06:01:56.170Z. This is not the publication date.