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Real-Time Prediction of Segmentation Quality., , , , , , , , , and 10 other author(s). MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 578-585. Springer, (2018)Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth., , , , , , , and . CoRR, (2017)Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy., , , , , , , and . CoRR, (2018)Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study., , , , , , , , , and 12 other author(s). CoRR, (2019)Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI., , , , , and . SITIS, page 277-283. IEEE Computer Society, (2011)Image Processing in Retinal Angiography: Extracting Angiographical Features without the Requirement of Contrast Agents., , , , and . MVA, page 451-454. (2009)Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging., , , , , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 720-727. Springer, (2017)Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes., , , , , , and . MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 346-354. Springer, (2018)