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