most citedUnsupervised Anomaly Detection using Aggregated Normative Diffusion

2 citations · 3 across the 3 of their papers we have counts for

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cs.CV2025

Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis

Alexander Frotscher, Christian F. Baumgartner, Thomas Wolfers

Deep unsupervised anomaly detection in brain magnetic resonance imaging offers a promising route to identify pathological deviations without requiring lesion-specific annotations.…

cs.CV2023★ 2 cited

Unsupervised Anomaly Detection using Aggregated Normative Diffusion

Alexander Frotscher, Jaivardhan Kapoor, Thomas Wolfers +1

Early detection of anomalies in medical images such as brain MRI is highly relevant for diagnosis and treatment of many conditions. Supervised machine learning methods are limited…