Ismael Hernández-Romero

According to our database1, Ismael Hernández-Romero authored at least 25 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Book 
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PhD thesis 
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Online presence:

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Bibliography

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


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

Mechanism behind Hyperkalemic Brugada Phenocopy: A Computational Study.
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


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