Recherche
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Deep Learning for Model Correction in Cardiac Electrophysiological Imaging
Communication dans un congrès -
Towards a large-scale scalable adaptive heart model using shallow tree meshes
(Journal of Computational Physics. vol. 298, pp. 79-94, 2015-10-01)Article de revue -
A Patient-Specific Equivalent Dipole Model
Communication dans un congrès -
In-Silico Data Based Machine Learning Technique Predicts Premature Ventricular Contraction Origin Coordinates
Communication dans un congrès -
Solving the ECGI problem with known locations of scar regions
Communication dans un congrès -
Space rescaling in the MFS method improves the ECGI reconstruction
Communication dans un congrès -
Inducibility of Atrial Fibrillation Depends Chaotically on Ionic Model Parameters
Communication dans un congrès -
In-Silico Evaluation of an Iterative Pace-Mapping Technique to Guide Catheter Ablation of Ventricular Ectopy
Communication dans un congrès