Cycle Inverse-Consistent TransMorph: A Balanced Deep Learning Framework for Brain MRI Registration

ArXi:2603.21760v1 Announce Type: cross Deformable image registration plays a fundamental role in medical image analysis by enabling spatial alignment of anatomical structures across subjects. While recent deep learning-based approaches have significantly improved computational efficiency, many existing methods remain limited in capturing long-range anatomical correspondence and maintaining deformation consistency. In this work, we present a cycle inverse-consistent transformer-based framework for deformable brain MRI registration.