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Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)The Dice loss in the context of missing or empty labels: Introducing Φ and ε., , , , and . CoRR, (2022)Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients., , , , , , , , , and 12 other author(s). CoRR, (2020)Robust Model-Based Registration of Cardiac MR Images for T1 and ECV Mapping., , , , , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 42-50. Springer, (2017)3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context., , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 90-99. Springer, (2019)Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach., , , , , , and . Medical Image Anal., (2019)Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN., and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 395-404. Springer, (2019)The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε., , , , and . MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 527-537. Springer, (2022)Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters., , , , and . M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 127-136. Springer, (2020)