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Personalized Modelling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct patients., , , , , , , , , and 2 other author(s). CinC, page 1-4. www.cinc.org, (2018)His Bundle Pacing but not Left Bundle Pacing Corrects Septal Flash in Left Bundle Branch Block Patients., , , , , , , , , and 5 other author(s). CinC, page 1-4. IEEE, (2020)Predicting Activation Patterns in Cardiac Resynchronization Therapy Patients., , , , , , , , , and 1 other author(s). CinC, page 1-2. www.cinc.org, (2018)AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography., , , , , , , , , and 3 other author(s). ASMUS@MICCAI, volume 13565 of Lecture Notes in Computer Science, page 75-85. Springer, (2022)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)Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction., , , , , , , , , and 3 other author(s). STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 189-198. Springer, (2021)A multimodal deep learning model for cardiac resynchronisation therapy response prediction., , , , , , , and . Medical Image Anal., (2022)