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MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images., , , , , , , , , and 24 other author(s). IEEE Trans. Medical Imaging, 41 (10): 2728-2738 (2022)Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data., , , , , , and . DALI@MICCAI, volume 14379 of Lecture Notes in Computer Science, page 63-72. Springer, (2023)Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images., , , , , , , , , and 24 other author(s). Bildverarbeitung für die Medizin, page 312. Springer, (2023)The role of noise in denoising models for anomaly detection in medical images., , , , , , , , , and 2 other author(s). CoRR, (2023)Anomaly Detection via Context and Local Feature Matching., , , , and . ISBI, page 1-5. IEEE, (2022)Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI., , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 653-664. PMLR, (2022)Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data., , , , , , , , , and 1 other author(s). ECCV Workshops (3), volume 11131 of Lecture Notes in Computer Science, page 470-484. Springer, (2018)Automated clinical coding using off-the-shelf large language models., , , , and . CoRR, (2023)What is Healthy? Generative Counterfactual Diffusion for Lesion Localization., , , , and . DGM4MICCAI@MICCAI, volume 13609 of Lecture Notes in Computer Science, page 34-44. Springer, (2022)Compositional Representation Learning for Brain Tumour Segmentation., , , , and . DART@MICCAI, volume 14293 of Lecture Notes in Computer Science, page 41-51. Springer, (2023)