AI RESEARCH
MorphSeek: Fine-grained Latent Representation-Level Policy Optimization for Deformable Image Registration
arXiv CS.CV
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ArXi:2511.17392v2 Announce Type: replace Deformable image registration (DIR) remains a fundamental yet challenging problem in medical image analysis, largely due to the prohibitively high-dimensional deformation space of dense displacement fields and the scarcity of voxel-level supervision. Existing reinforcement learning frameworks often project this space into coarse, low-dimensional representations, limiting their ability to capture spatially variant deformations.