Publicaciones (85) Publicaciones de MIGUEL LOZANO IBAÑEZ

2024

  1. Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. 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

  2. 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)

  3. 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

  4. Evaluation of Automata-Based Simulations for Atrial Fibrillation in 2D/3D Geometries Reproducing Disease Progression

    Computing in Cardiology

  5. Role of Heterogeneous Ionic Profiles in Atrial Fibrillation Propagation. A Population of Models Study

    Computing in Cardiology

  6. Substrate-Specific Simulations of Atrial Fibrillation Reproducing Electrophysiological Clinical Markers

    Computing in Cardiology

2022

  1. An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility

    Mathematics, Vol. 10, Núm. 8

  2. Machine Learning Based Cell Model for Fast Approximation of Cellular Action Potential to Enable Clinical Translation

    Computing in Cardiology

  3. Personalized Fast Electrophysiology Simulations to Evaluate Arrhythmogenicity of Ventricular Slow Conduction Channels

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. The Effects of Long- and Short-term Memory on Action Potential Duration for Atrial Cellular Automata

    Computing in Cardiology

  5. Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias

    Frontiers in Physiology, Vol. 13

2021

  1. Arrhythmic3D: A fast automata-based tool to simulate and assess arrhythmia risk in 3D ventricular models

    Computing in Cardiology

  2. Assessment of Geometric Models for the Approximation of Aorta Cross-Sections

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Clinically-Driven Virtual Patient Cohorts Generation: An Application to Aorta

    Frontiers in Physiology, Vol. 12

  4. Estimation of Personalized Minimal Purkinje Systems from Human Electro-Anatomical Maps

    IEEE Transactions on Medical Imaging, Vol. 40, Núm. 8, pp. 2182-2194

  5. Personalization of ventricular cardiac conduction system models to reproduce patient electrocardiogram

    Computing in Cardiology

  6. 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)

2020

  1. Using inverse reinforcement learning with real trajectories to get more trustworthy pedestrian simulations

    Mathematics, Vol. 8, Núm. 9

2019

  1. Predicting the Origin of Outflow Tract Ventricular Arrhythmias Using Machine Learning Techniques Trained with Patient-Specific Electrophysiological Simulations

    Computing in Cardiology