Augmented Equivariant Mesh Networks for Anatomical Mesh Segmentation (ICML 2026 Workshops) [R]

In three linesEAMS (Equivariant Anatomical Mesh Segmentor) applies rotational equivariance to mesh networks for 3D anatomical segmentation. The model (<2M parameters) maintains performance under geometric perturbations (40° rotation) where existing methods drop 25-26 IoU points. Evaluated on 4 clinical tasks (intracranial aneurysm, intraoral segmentation, liver).

Summary generated by Claude — human-verified