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.
vox2vec: A framework for self-supervised contrastive learning of voxel-level representations in medical images
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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.