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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)Multi-atlas segmentation with augmented features for cardiac MR images., , , and . Medical Image Anal., 19 (1): 98-109 (2015)Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images., , , , , , , , , and . ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 258-267. Springer, (2018)Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image., , , , , , and . CoRR, (2019)Tracking of Migrating Glioma Cells in Feature Space., , , , and . ISBI, page 272-275. IEEE, (2007)Three-dimensional cardiovascular imaging-genetics: a mass univariate framework., , , , , , , , , and 3 other author(s). Bioinform., 34 (1): 97-103 (2018)Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning., , , , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 259-267. Springer, (2018)Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort, , , , , , , , , and 15 other author(s). Investigative Radiology, (2022)Deep Learning for Cardiac Image Segmentation: A Review, , , , , , and . Front. Cardiovasc. Med., (March 2020)