A self-supervised approach uses consistent spatial relationships of anatomical structures across patients to improve 3D multi-modal medical image representations, yielding modest gains on segmentation and classification tasks.
Advances in Neural Information Processing Systems , volume=
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MER-DG applies modality-entropy regularization to reduce fusion overfitting in multimodal domain generalization, reporting average gains of 5% over standard fusion and 2% over prior methods on EPIC-Kitchens and HAC benchmarks.
TopoGeoScore learns a non-negative linear combination of geometric and topological features from source embeddings via self-supervised invariance to select robust checkpoints for OOD scenarios.
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