MoViD factorizes multi-view cine cardiac MRI representations into view-specific and disease-discriminative components via dual-branch supervised contrastive objectives, gradient-reversal adversarial constraint, and annotation-free motion features from inter-frame differences, outperforming transform
arXiv preprint arXiv:2506.00679 (2025)
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Motion-Guided Causal Disentanglement for Robust Multi-View Cine Cardiac MRI Diagnosis
MoViD factorizes multi-view cine cardiac MRI representations into view-specific and disease-discriminative components via dual-branch supervised contrastive objectives, gradient-reversal adversarial constraint, and annotation-free motion features from inter-frame differences, outperforming transform