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20232026
most citedEvaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET

8 citations · 16 across the 7 of their papers we have counts for

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cs.AI2026

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…

cs.LG2026

Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection

Agathe Senellart, Maëlys Solal, Stéphanie Allassonnière +1

Variational autoencoders are widely used for unsupervised anomaly detection. Model selection however remains an open-question: to remain fully unsupervised, hyperparameters are oft…