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Miguel Rodrigo

Showing results (41-50 of 60) with videos related to

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Frontiers in Physiology|October 30, 2016
Regularization Techniques for ECG Imaging during Atrial Fibrillation: A Computational StudyCarlos Figuera, Víctor Suárez-Gutiérrez, Ismael Hernández-Romero, et al.
Frontiers in Physiology|November 24, 2016
Corrigendum: Regularization Techniques for ECG Imaging during Atrial Fibrillation: A Computational StudyCarlos Figuera, Víctor Suárez-Gutiérrez, Ismael Hernández-Romero, et al.
Medical Image Analysis|February 13, 2025
Implementation of a Cellular Automaton for efficient simulations of atrial arrhythmiasGiada S Romitti, Alejandro Liberos, María Termenón-Rivas, et al.
European Urology|August 10, 2021
Prognostic Score and Benefit from Abiraterone in First-line Metastatic, Castration-resistant Prostate CancerDavid Lorente, Casilda Llacer, Rebeca Lozano, et al.
Journal of Cardiovascular Electrophysiology|January 19, 2016
Noninvasive Estimation of Epicardial Dominant High-Frequency Regions During Atrial FibrillationJorge Pedrón-Torrecilla, Miguel Rodrigo, Andreu M Climent, 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|March 18, 2023
Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrogramsPrasanth Ganesan, Brototo Deb, Ruibin Feng, 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.
Circulation. Arrhythmia and Electrophysiology|February 21, 2020
Noninvasive Assessment of Complexity of Atrial Fibrillation: Correlation With Contact Mapping and Impact of AblationMiguel Rodrigo, Andreu M Climent, Ismael Hernández-Romero, et al.
Diagnostics (Basel, Switzerland)|July 27, 2024
Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot DatasetPrasanth Ganesan, Ruibin Feng, Brototo Deb, et al.
Frontiers in Cardiovascular Medicine|October 18, 2023
Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encodingRuibin Feng, Brototo Deb, Prasanth Ganesan, et al.
Pageof 6

Showing results (41-50 of 60) with videos related to

Sort By:
Pageof 6
Frontiers in Physiology|October 30, 2016
Regularization Techniques for ECG Imaging during Atrial Fibrillation: A Computational StudyCarlos Figuera, Víctor Suárez-Gutiérrez, Ismael Hernández-Romero, et al.
Frontiers in Physiology|November 24, 2016
Corrigendum: Regularization Techniques for ECG Imaging during Atrial Fibrillation: A Computational StudyCarlos Figuera, Víctor Suárez-Gutiérrez, Ismael Hernández-Romero, et al.
Medical Image Analysis|February 13, 2025
Implementation of a Cellular Automaton for efficient simulations of atrial arrhythmiasGiada S Romitti, Alejandro Liberos, María Termenón-Rivas, et al.
European Urology|August 10, 2021
Prognostic Score and Benefit from Abiraterone in First-line Metastatic, Castration-resistant Prostate CancerDavid Lorente, Casilda Llacer, Rebeca Lozano, et al.
Journal of Cardiovascular Electrophysiology|January 19, 2016
Noninvasive Estimation of Epicardial Dominant High-Frequency Regions During Atrial FibrillationJorge Pedrón-Torrecilla, Miguel Rodrigo, Andreu M Climent, 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|March 18, 2023
Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrogramsPrasanth Ganesan, Brototo Deb, Ruibin Feng, 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.
Circulation. Arrhythmia and Electrophysiology|February 21, 2020
Noninvasive Assessment of Complexity of Atrial Fibrillation: Correlation With Contact Mapping and Impact of AblationMiguel Rodrigo, Andreu M Climent, Ismael Hernández-Romero, et al.
Diagnostics (Basel, Switzerland)|July 27, 2024
Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot DatasetPrasanth Ganesan, Ruibin Feng, Brototo Deb, et al.
Frontiers in Cardiovascular Medicine|October 18, 2023
Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encodingRuibin Feng, Brototo Deb, Prasanth Ganesan, et al.
Pageof 6