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Left-Ventricle Quantification Using Residual U-Net., , , , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 371-380. Springer, (2018)Time and Citation Networks., and . CoRR, (2015)Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction., , , , , , , , , and 2 other author(s). MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 284-293. Springer, (2020)Global and Local Interpretability for Cardiac MRI Classification., , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 656-664. Springer, (2019)Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space., , , , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 695-703. Springer, (2019)Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders., , , , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 22-30. Springer, (2019)Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction., , , , , , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 21-29. Springer, (2018)Time & Citation Networks., and . ISSI, Bogaziçi University Printhouse, (2015)A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology., , , , , and . CoRR, (2019)A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR., , , , and . IEEE Trans. Medical Imaging, 42 (1): 3-14 (2023)