CoRe: Joint Optimization with Contrastive Learning for Medical Image Registration

ArXi:2603.23694v1 Announce Type: new Medical image registration is a fundamental task in medical image analysis, enabling the alignment of images from different modalities or time points. However, intensity inconsistencies and nonlinear tissue deformations pose significant challenges to the robustness of registration methods. Recent approaches leveraging self-supervised representation learning show promise by pre-