CoRe integrates equivariant contrastive learning directly into the registration model through joint optimization, producing features that improve performance on abdominal and thoracic image alignment tasks.
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation.arXiv preprint arXiv:2401.064732024
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CoRe: Joint Optimization with Contrastive Learning for Medical Image Registration
CoRe integrates equivariant contrastive learning directly into the registration model through joint optimization, producing features that improve performance on abdominal and thoracic image alignment tasks.