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Probabilistic learning of the Purkinje network from the electrocardiogram., , , and . CoRR, (2023)PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps., , , , , and . M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 76-86. Springer, (2020)Patient-Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics., , , , and . STACOM, volume 8896 of Lecture Notes in Computer Science, page 93-104. Springer, (2014)Uncertainty Quantification for the 12-lead ECG: a Lead Field Approach., and . CoRR, (2021)Δ-PINNs: physics-informed neural networks on complex geometries., , and . CoRR, (2022)Explicit stabilized multirate methods for the monodomain model in cardiac electrophysiology., , , and . CoRR, (2024)Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach., , , , and . IEEE Trans. Biomed. Eng., 71 (4): 1281-1288 (April 2024)Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms., , , , , , , , , and 1 other author(s). CinC, page 1-4. IEEE, (2022)Spatial Relationship Between Atrial Fibrillation Drivers and the Presence of Repetitive Conduction Patterns Using Recurrence Analysis on In-Silico Models., , , , , and . CinC, page 1-4. IEEE, (2021)Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification., , , , , and . CoRR, (2021)