Ismael Hernández-Romero
Orcid: 0000-0002-0525-7476
According to our database1,
Ismael Hernández-Romero
authored at least 36 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Biol. Medicine, January, 2024
2023
Filtering strategies of electrocardiographic imaging signals for stratification of atrial fibrillation patients.
Biomed. Signal Process. Control., March, 2023
Proceedings of the Computing in Cardiology, 2023
2022
Validation of a Novel Imageless Non-Invasive Electrocardiographic Imaging for the Characterization of Atrial Tachycardias.
Proceedings of the Computing in Cardiology, 2022
Effect of Torso Mesh Density on Electrocardiographic Imaging Resolution from Atrial Fibrillation Simulations.
Proceedings of the Computing in Cardiology, 2022
Tailoring Process for the Regional Personalization of Atrial Fibrillation with a Novel Cardiac Model.
Proceedings of the Computing in Cardiology, 2022
Local Conduction Velocity Estimation During Wavefront Collisions and Reentrant Scenarios.
Proceedings of the Computing in Cardiology, 2022
Non-Invasive Atrial Fibrillation Driver Localization Using Recurrent Neural Networks and Body Surface Potentials.
Proceedings of the Computing in Cardiology, 2022
Proceedings of the Computing in Cardiology, 2022
Personalized Modeling of Atrial Activation and P-waves: a Comparison Between Invasive and Non-invasive Cardiac Mapping.
Proceedings of the Computing in Cardiology, 2022
2021
Analysis of the response of human iPSC-derived cardiomyocyte tissue to I<sub>CaL</sub> block. A combined in vitro and in silico approach.
Comput. Biol. Medicine, 2021
Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation.
Biomed. Signal Process. Control., 2021
ECGI Periodicity Unraveled: A Deep Learning Approach for the Visualization of Periodic Spatiotemporal Patterns in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Detection of Atrial Fibrillation Driver Locations Using CNN and Body Surface Potentials.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation.
Comput. Biol. Medicine, 2020
Atrial Fibrillation Driver Localization From Body Surface Potentials Using Deep Learning.
Proceedings of the Computing in Cardiology, 2020
2019
Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study.
Comput. Biol. Medicine, 2019
Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics.
Proceedings of the 46th Computing in Cardiology, 2019
Effects of Geometry in Atrial Fibrillation Markers Obtained With Electrocardiographic Imaging.
Proceedings of the 46th Computing in Cardiology, 2019
Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation.
Proceedings of the 46th Computing in Cardiology, 2019
Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence.
Proceedings of the 46th Computing in Cardiology, 2019
2018
Solving Inaccuracies in Anatomical Models for Electrocardiographic Inverse Problem Resolution by Maximizing Reconstruction Quality.
IEEE Trans. Medical Imaging, 2018
In Silico Safety Pharmacology on Intersubject Variability Population of Models: A Regression Model Approach.
Proceedings of the Computing in Cardiology, 2018
2017
Including a Priori Knowledge in the Solution of the Inverse Problem During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
Solving Inaccuracies in the Heart Position and Orientation for Inverse Solution by Using Electrical Information.
Proceedings of the Computing in Cardiology, 2017
Proceedings of the Computing in Cardiology, 2017
Personalization of Atrial Fibrillation Antiarrhythmic Drug Treatments: a Population of Models Approach.
Proceedings of the Computing in Cardiology, 2017
Ranolazine Attenuates Stretch-induced Modifications of Electrophysiological Characteristics in HL-1 Cells.
Proceedings of the Computing in Cardiology, 2017
Electrophysiological Parameters in the Electrical Propagation During Atrial Fibrillation: a Population of Models Study.
Proceedings of the Computing in Cardiology, 2017
Evaluation of Inverse Problem with Slow-Conducting Channel in Scar Area in a Post-Infarction Model.
Proceedings of the Computing in Cardiology, 2017
2016
Noninvasive Identification of Atrial Fibrillation Drivers: Simulation and Patient Data Evaluation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Role of Substrate Flexibility on Cardiac Cell Culture Electrophysiological Properties.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Performance of Inverse Problem Regularization Methods for Driver Location during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
High Resolution Microscopic Optical Mapping of Anatomical and Functional Reentries in Human Cardiac Cell Cultures.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016