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Axel Loewe

Showing results (51-60 of 94) with videos related to

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Briefings in Bioinformatics|March 10, 2025
Consensus statement on the credibility assessment of machine learning predictorsAlessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina, et al.
Biomed Research International|November 21, 2015
ECG-Based Detection of Early Myocardial Ischemia in a Computational Model: Impact of Additional Electrodes, Optimal Placement, and a New Feature for ST DeviationAxel Loewe, Walther H W Schulze, Yuan Jiang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup<sup>.</sup>Tiago P Almeida, Laura A Unger, Diogo C Soriano, et al.
Frontiers in Physiology|December 16, 2020
Comparison of Unipolar and Bipolar Voltage Mapping for Localization of Left Atrial Arrhythmogenic Substrate in Patients With Atrial FibrillationDeborah Nairn, Heiko Lehrmann, Björn Müller-Edenborn, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|August 9, 2022
Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrenceLuca Azzolin, Martin Eichenlaub, Claudia Nagel, et al.
Computer Methods and Programs in Biomedicine|February 14, 2023
Recommender system for ablation lines to treat complex atrial tachycardiaMuhamed Vila, Massimo W Rivolta, Cristian A Barrios Espinosa, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|November 2, 2014
In-silico assessment of the dynamic effects of amiodarone and dronedarone on human atrial patho-electrophysiologyAxel Loewe, Yannick Lutz, Mathias Wilhelms, et al.
Frontiers in Physiology|July 22, 2021
Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid <i>in silico</i> and <i>in vivo</i> DatasetJorge Sánchez, Giorgio Luongo, Mark Nothstein, et al.
IEEE Transactions on Bio-Medical Engineering|August 3, 2022
Comparison of Propagation Models and Forward Calculation Methods on Cellular, Tissue and Organ Scale Atrial ElectrophysiologyClaudia Nagel, Cristian Barrios Espinosa, Karli Gillette, et al.
Scientific Reports|December 17, 2022
The reverse mode of the Na<sup>+</sup>/Ca<sup>2+</sup> exchanger contributes to the pacemaker mechanism in rabbit sinus node cellsNoémi Tóth, Axel Loewe, Jozefina Szlovák, et al.
Pageof 10

Showing results (51-60 of 94) with videos related to

Sort By:
Pageof 10
Briefings in Bioinformatics|March 10, 2025
Consensus statement on the credibility assessment of machine learning predictorsAlessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina, et al.
Biomed Research International|November 21, 2015
ECG-Based Detection of Early Myocardial Ischemia in a Computational Model: Impact of Additional Electrodes, Optimal Placement, and a New Feature for ST DeviationAxel Loewe, Walther H W Schulze, Yuan Jiang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup<sup>.</sup>Tiago P Almeida, Laura A Unger, Diogo C Soriano, et al.
Frontiers in Physiology|December 16, 2020
Comparison of Unipolar and Bipolar Voltage Mapping for Localization of Left Atrial Arrhythmogenic Substrate in Patients With Atrial FibrillationDeborah Nairn, Heiko Lehrmann, Björn Müller-Edenborn, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|August 9, 2022
Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrenceLuca Azzolin, Martin Eichenlaub, Claudia Nagel, et al.
Computer Methods and Programs in Biomedicine|February 14, 2023
Recommender system for ablation lines to treat complex atrial tachycardiaMuhamed Vila, Massimo W Rivolta, Cristian A Barrios Espinosa, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|November 2, 2014
In-silico assessment of the dynamic effects of amiodarone and dronedarone on human atrial patho-electrophysiologyAxel Loewe, Yannick Lutz, Mathias Wilhelms, et al.
Frontiers in Physiology|July 22, 2021
Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid <i>in silico</i> and <i>in vivo</i> DatasetJorge Sánchez, Giorgio Luongo, Mark Nothstein, et al.
IEEE Transactions on Bio-Medical Engineering|August 3, 2022
Comparison of Propagation Models and Forward Calculation Methods on Cellular, Tissue and Organ Scale Atrial ElectrophysiologyClaudia Nagel, Cristian Barrios Espinosa, Karli Gillette, et al.
Scientific Reports|December 17, 2022
The reverse mode of the Na<sup>+</sup>/Ca<sup>2+</sup> exchanger contributes to the pacemaker mechanism in rabbit sinus node cellsNoémi Tóth, Axel Loewe, Jozefina Szlovák, et al.
Pageof 10