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Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking., , , , , , , , and . ICCV (Workshops), page 2394-2402. IEEE, (2023)Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection., , , , , , and . DGM4MICCAI@MICCAI, volume 13609 of Lecture Notes in Computer Science, page 14-23. Springer, (2022)Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection., , , , , , and . CoRR, (2023)Geometry-Invariant Abnormality Detection., , , , , , , and . MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 300-309. Springer, (2023)Generative AI for Medical Imaging: extending the MONAI Framework., , , , , , , , , and 14 other author(s). CoRR, (2023)PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction., , , , , , , , , and 1 other author(s). CoRR, (2022)Texture-Based Analysis of Fetal Organs in Fetal Growth Restriction., , , , , , , , , and 1 other author(s). UNSURE/PIPPI@MICCAI, volume 12959 of Lecture Notes in Computer Science, page 253-262. Springer, (2021)Latent Transformer Models for out-of-distribution detection., , , , , , , , , and 5 other author(s). Medical Image Anal., (December 2023)