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Author

Susanne Schulz-Heise

2 papers indexed here

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Jul 2026

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

A Dinomaly-based unsupervised anomaly detection framework adapted for pelvic MRI that learns normative representations from healthy cases and flags deviations without requiring labels is presented.

Anika Knupfer, M. Lindholz, J. Müller et al. · 0 citations

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