AI RESEARCH
Rotation Equivariant Convolutions in Deformable Registration of Brain MRI
arXiv CS.CV
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ArXi:2604.08034v1 Announce Type: new Image registration is a fundamental task that aligns anatomical structures between images. While CNNs perform well, they lack rotation equivariance - a rotated input does not produce a correspondingly rotated output. This hinders performance by failing to exploit the rotational symmetries inherent in anatomical structures, particularly in brain MRI. In this work, we integrate rotation-equivariant convolutions into deformable brain MRI registration networks.