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Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images., , , and . BIBM, page 1601-1604. IEEE, (2019)Low cost high performance uncertainty quantification., , and . SC-WHPCF, ACM, (2009)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)Reducing Data Movement Costs: Scalable Seismic Imaging on Blue Gene., , , , , , and . IPDPS, page 320-329. IEEE Computer Society, (2012)Low-cost data uncertainty quantification., , and . Concurr. Comput. Pract. Exp., 24 (8): 908-920 (2012)Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts., , , , , , and . BIBM, page 482-489. IEEE, (2019)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)Deep Text Prior: Weakly Supervised Learning for Assertion Classification., , and . ICANN (Workshop), volume 11731 of Lecture Notes in Computer Science, page 243-257. Springer, (2019)Medical Image Captioning via Generative Pretrained Transformers., , , , , and . CoRR, (2022)First U-Net Layers Contain More Domain Specific Information Than the Last Ones., , , , and . DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 117-126. Springer, (2020)