Self-supervised contrastive learning adapts ViT for cardiac MR classification, outperforming supervised training with AUC >0.75 on four common sequences and generalization to BraTS and ADNI.
Remote Sensing15(7), 1860 (2023)
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Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification
Self-supervised contrastive learning adapts ViT for cardiac MR classification, outperforming supervised training with AUC >0.75 on four common sequences and generalization to BraTS and ADNI.