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Frontiers in Physiology|July 19, 2021
Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics-AI ApproachSofia Monaci, Karli Gillette, Esther Puyol-Antón, et al.Computers in Biology and Medicine|April 20, 2025
Reconstructed scar morphology in patient-specific computational heart models has limited impact on the identification of ablation targets through in-silico pace mappingFernando O Campos, Pranav Bhagirath, Sofia Monaci, et al.Computers in Biology and Medicine|September 24, 2020
In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planningSofia Monaci, Marina Strocchi, Cristobal Rodero, 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|June 14, 2023
Additional coils mitigate elevated defibrillation threshold in right-sided implantable cardioverter defibrillator generator placement: a simulation studyShuang Qian, Sofia Monaci, Caroline Mendonca-Costa, et al.Heart Rhythm|December 30, 2024
In silico pace mapping identifies pacing sites more accurately than inverse body surface potential mappingFernando O Campos, Nadeev Wijesuriya, Mark K Elliott, 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 12, 2022
Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devicesSofia Monaci, Shuang Qian, Karli Gillette, et al.Pageof 1