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Mahmood I Alhusseini

Showing results (1-10 of 14) with videos related to

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Frontiers in Physiology|September 22, 2018
Characterizing Electrogram Signal Fidelity and the Effects of Signal Contamination on Mapping Human Persistent Atrial FibrillationDavid Vidmar, Mahmood I Alhusseini, Sanjiv M Narayan, et al.
Indian Pacing and Electrophysiology Journal|January 29, 2026
Artificial Intelligence in Atrial Fibrillation - Timely Diagnosis, Risk Assessment and Personalized ManagementKushal Chatterjee, Aaryamaan Verma, Erick Godinez, et al.
Computers in Biology and Medicine|April 16, 2022
Atrial fibrillation signatures on intracardiac electrograms identified by deep learningMiguel Rodrigo, Mahmood I Alhusseini, Albert J Rogers, et al.
Plos One|April 9, 2021
Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometryRicardo Abad, Orvil Collart, Prasanth Ganesan, et al.
Circulation. Arrhythmia and Electrophysiology|July 8, 2020
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial FibrillationMahmood I Alhusseini, Firas Abuzaid, Albert J Rogers, et al.
Circulation. Arrhythmia and Electrophysiology|July 22, 2022
Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation OutcomesSiyi Tang, Orod Razeghi, Ridhima Kapoor, et al.
Journal of Cardiovascular Electrophysiology|March 19, 2023
Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomographyOrod Razeghi, Ridhima Kapoor, Mahmood I Alhusseini, et al.
Circulation Research|November 10, 2020
Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden DeathAlbert J Rogers, Anojan Selvalingam, Mahmood I Alhusseini, 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|April 4, 2020
Termination of persistent atrial fibrillation by ablating sites that control large atrial areasNeal K Bhatia, Albert J Rogers, David E Krummen, et al.
Plos One|July 4, 2019
Online webinar training to analyse complex atrial fibrillation maps: A randomized trialJoão Mesquita, Natasha Maniar, Tina Baykaner, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Frontiers in Physiology|September 22, 2018
Characterizing Electrogram Signal Fidelity and the Effects of Signal Contamination on Mapping Human Persistent Atrial FibrillationDavid Vidmar, Mahmood I Alhusseini, Sanjiv M Narayan, et al.
Indian Pacing and Electrophysiology Journal|January 29, 2026
Artificial Intelligence in Atrial Fibrillation - Timely Diagnosis, Risk Assessment and Personalized ManagementKushal Chatterjee, Aaryamaan Verma, Erick Godinez, et al.
Computers in Biology and Medicine|April 16, 2022
Atrial fibrillation signatures on intracardiac electrograms identified by deep learningMiguel Rodrigo, Mahmood I Alhusseini, Albert J Rogers, et al.
Plos One|April 9, 2021
Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometryRicardo Abad, Orvil Collart, Prasanth Ganesan, et al.
Circulation. Arrhythmia and Electrophysiology|July 8, 2020
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial FibrillationMahmood I Alhusseini, Firas Abuzaid, Albert J Rogers, et al.
Circulation. Arrhythmia and Electrophysiology|July 22, 2022
Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation OutcomesSiyi Tang, Orod Razeghi, Ridhima Kapoor, et al.
Journal of Cardiovascular Electrophysiology|March 19, 2023
Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomographyOrod Razeghi, Ridhima Kapoor, Mahmood I Alhusseini, et al.
Circulation Research|November 10, 2020
Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden DeathAlbert J Rogers, Anojan Selvalingam, Mahmood I Alhusseini, 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|April 4, 2020
Termination of persistent atrial fibrillation by ablating sites that control large atrial areasNeal K Bhatia, Albert J Rogers, David E Krummen, et al.
Plos One|July 4, 2019
Online webinar training to analyse complex atrial fibrillation maps: A randomized trialJoão Mesquita, Natasha Maniar, Tina Baykaner, et al.
Pageof 2