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Computing the electrical activity of the heart with a dynamic inverse monodomain operator.

, , and . EMBC, page 3797-3800. IEEE, (2013)

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Pattern Formation for a Reaction Diffusion System with Constant and Cross Diffusion., , , and . ENUMATH, volume 103 of Lecture Notes in Computational Science and Engineering, page 153-161. Springer, (2013)PSO with Tikhonov Regularization for the Inverse Problem in Electrocardiography., , , and . Artificial Evolution, volume 8752 of Lecture Notes in Computer Science, page 256-270. Springer, (2013)A new coupled electro-thermo-fluid radiofrequency model of cardiac tissue: Mathematical modeling, analysis and numerical simulation., , , and . CoRR, (2024)Direct Mapping from Body Surface Potentials to Cardiac Activation Maps Using Neural Networks., , and . CinC, page 1-4. IEEE, (2019)Computing the electrical activity of the heart with a dynamic inverse monodomain operator., , and . EMBC, page 3797-3800. IEEE, (2013)A convergent finite volume method for a model of indirectly transmitted diseases with nonlocal cross-diffusion., , , and . Comput. Math. Appl., 70 (2): 132-157 (2015)A Spatial Adaptation of the Time Delay Neural Network for Solving ECGI Inverse Problem., , and . FIMH, volume 11504 of Lecture Notes in Computer Science, page 94-102. Springer, (2019)Controllability of Degenerating Reaction-Diffusion System in Electrocardiology, and . CoRR, (2011)On 3D numerical inverse problems for the bidomain model in electrocardiology, , and . Computers & Mathematics with Applications, 69 (4): 255 - 274 (2015)Two-step genetic algorithm to solve the inverse problem in electrocardiography for cardiac sources, , and . Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2 (3): 129-137 (2014)