AI RESEARCH
Effective Feature Learning for 3D Medical Registration via Domain-Specialized DINO Pretraining
arXiv CS.CV
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ArXi:2603.14086v1 Announce Type: new Medical image registration is a critical component of clinical imaging workflows, enabling accurate longitudinal assessment, multi-modal data fusion, and image-guided interventions. Intensity-based approaches often struggle with interscanner variability and complex anatomical deformations, whereas feature-based methods offer improved robustness by leveraging semantically informed representations. In this work, we investigate DINO-style self-supervised pre.