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Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth., , , , , , , и . IEEE Trans. Medical Imaging, 36 (8): 1597-1606 (2017)Machine learning for analysing whole-body scans.. Imperial College London, UK, (2018)British Library, EThOS.Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes., , , , , , и . MLMI@MICCAI, том 11046 из Lecture Notes in Computer Science, стр. 346-354. Springer, (2018)Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging., , , , , , , и . MICCAI (1), том 10433 из Lecture Notes in Computer Science, стр. 720-727. Springer, (2017)Image Processing in Retinal Angiography: Extracting Angiographical Features without the Requirement of Contrast Agents., , , , и . MVA, стр. 451-454. (2009)Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI., , , , , , , и . WACV, стр. 547-556. IEEE Computer Society, (2018)Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI., , , , , и . SITIS, стр. 277-283. IEEE Computer Society, (2011)Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study., , , , , , , , , и 12 other автор(ы). CoRR, (2019)Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy., , , , , , , и . CoRR, (2018)Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict., , , , , и . ISBI, стр. 50-54. IEEE, (2021)