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Sep 2026

SSAD: Prior-driven self-supervised staircase artifact denoising via diffeomorphic flow for volumetric medical image surface reconstruction.

SSAD is proposed, a prior-driven self-supervised framework which redefines reconstruction as learning a diffeomorphic flow from boundary voxels to the coherent optimal surface, and demonstrates a super-resolution capability, with the accuracy of its reconstructed surfaces comparable to that achieved by voxel data at 2-...

Jing Shi, Zhan-Hua Zhang, Yuan Xing et al. · 0 citations

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