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

Hugues Roy, Reuben Dorent, Ninon Burgos

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 im…