Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior.

arXiv:2609.24265v1 Announce Type: new Abstract: Unsupervised anomaly detection (UAD) aims to localize abnormal regions in medical scans without pixel-level annotations. A typical strategy seeks to reconstruct a pseudo-healthy image that preserves subject-speci