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Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans., , , , , , , , , and 6 other author(s). Nat. Mach. Intell., 3 (3): 199-217 (2021)Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence., , , , , , , , , and 36 other author(s). Nat. Mach. Intell., 4 (4): 413 (2022)Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering., , , , , , , , and . Comput. Biol. Medicine, (2020)Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence., , , , , , , , , and 36 other author(s). CoRR, (2021)Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review., , , , , , , , , and 5 other author(s). CoRR, (2020)Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training., , , , , , , and . Comput. Medical Imaging Graph., (2024)