IGNACIO
GARCIA FERNANDEZ
TITULAR DE UNIVERSIDAD

M.
Rodrigo
Publications by the researcher in collaboration with M. Rodrigo (11)
2023
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Assessment of Risk for Ventricular Tachycardia based on Extensive Electrophysiology Simulations
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2023, pp. 1-4
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Cellular Automata for Fast Simulations of Arrhythmogenic Atrial Substrate
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Characterization of the Electrophysiological Characteristics of Chronic Atrial Fibrillation for Efficient Simulations
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2023, pp. 1-4
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Evaluation of Automata-Based Simulations for Atrial Fibrillation in 2D/3D Geometries Reproducing Disease Progression
Computing in Cardiology
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Role of Heterogeneous Ionic Profiles in Atrial Fibrillation Propagation. A Population of Models Study
Computing in Cardiology
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Substrate-Specific Simulations of Atrial Fibrillation Reproducing Electrophysiological Clinical Markers
Computing in Cardiology
2022
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An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility
Mathematics, Vol. 10, Núm. 8
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Machine Learning Based Cell Model for Fast Approximation of Cellular Action Potential to Enable Clinical Translation
Computing in Cardiology
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The Effects of Long- and Short-term Memory on Action Potential Duration for Atrial Cellular Automata
Computing in Cardiology
2021
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Arrhythmic3D: A fast automata-based tool to simulate and assess arrhythmia risk in 3D ventricular models
Computing in Cardiology
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Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)