Johanna P. Muller

nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods

Matthew Baugh, Bernhard Kainz, Jeremy Tan, 2022, UNSURE@MICCAI.

Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models

Matthew Baugh, Bernhard Kainz, Hadrien Reynaud, 2023, ArXiv.

Zero-Shot Anomaly Detection with Pre-trained Segmentation Models

Matthew Baugh, Bernhard Kainz, James Batten, 2023, ArXiv.

Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks

Matthew Baugh, Bernhard Kainz, Jeremy Tan, 2023, ArXiv.