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Robust deep learning-based semantic organ segmentation in hyperspectral images., , , , , , , , , and 4 other author(s). CoRR, (2021)Sources of performance variability in deep learning-based polyp detection., , , , , , , , , and 1 other author(s). CoRR, (2022)Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks., , , , , , , and . CoRR, (2020)Heterogeneous Model Ensemble For Automatic Polyp Segmentation In Endoscopic Video Sequences., , , , , , , and . EndoCV@ISBI, volume 3148 of CEUR Workshop Proceedings, page 20-24. CEUR-WS.org, (2022)Confidence Estimation for Machine Learning-Based Quantitative Photoacoustics., , , and . J. Imaging, 4 (12): 147 (2018)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)Video-rate multispectral imaging in laparoscopic surgery: First-in-human application., , , , , , , , and . CoRR, (2021)Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging., , , , , , , and . Bildverarbeitung für die Medizin, page 330-335. Springer, (2021)Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging., , , , , , , and . CoRR, (2020)Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)., , , and . CoRR, (2019)