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Transparency of deep neural networks for medical image analysis: A review of interpretability methods., , , и . Comput. Biol. Medicine, (2022)FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare., , , , , , , , , и 40 other автор(ы). CoRR, (2023)FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging., , , , , , , , , и 6 other автор(ы). CoRR, (2021)New pathways for end-to-end validation of CT ventilation imaging (CTVI) using deformable image registration., , , , и . ISBI, стр. 939-942. IEEE, (2016)Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions., , , , , , , , , и 16 other автор(ы). Inf. Fusion, (2022)Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis., , , , и . CoRR, (2022)MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets., , , , , , , и . Neural Networks, (августа 2023)UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images., , , , , , , , , и 1 other автор(ы). IEEE Access, (2023)Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)., , , , , , , , , и 1 other автор(ы). IEEE Access, (2020)Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis., , , , , , и . Softw. Impacts, (мая 2023)