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Tracking of Migrating Glioma Cells in Feature Space., , , , and . ISBI, page 272-275. IEEE, (2007)Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data., , , , and . MICCAI (1), volume 8673 of Lecture Notes in Computer Science, page 106-113. Springer, (2014)Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study., , , , , , , , , and 12 other author(s). CoRR, (2019)Learning-Based Quality Control for Cardiac MR Images., , , , , , , , and . CoRR, (2018)DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks., , , , , , , , , and 1 other author(s). IEEE Trans. Med. Imaging, 36 (2): 674-683 (2017)Multi-atlas segmentation with augmented features for cardiac MR images., , , and . Medical Image Analysis, 19 (1): 98-109 (2015)Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks., , , , , , , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 246-254. (2016)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)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)Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image., , , , , , and . CoRR, (2019)