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Scientific Reports|March 19, 2025
Self-supervised VICReg pre-training for Brugada ECG detectionRobert Ronan, Constantine Tarabanis, Larry Chinitz, et al.
JACC. Clinical Electrophysiology|March 1, 2023
Development of an AI-Driven QT Correction Algorithm for Patients in Atrial FibrillationConstantine Tarabanis, Robert Ronan, Mohamed Shokr, et al.
JACC. Clinical Electrophysiology|May 4, 2024
QTNet: Predicting Drug-Induced QT Prolongation With Artificial Intelligence-Enabled ElectrocardiogramsHao Zhang, Constantine Tarabanis, Neil Jethani, et al.
Journal of Cardiovascular Electrophysiology|August 22, 2022
A systematic review of the use of 3D printing in left atrial appendage occlusion proceduresConstantine Tarabanis, Jonah Klapholz, Sohail Zahid, et al.
PLOS Digital Health|September 17, 2024
Performance of Publicly Available Large Language Models on Internal Medicine Board-style QuestionsConstantine Tarabanis, Sohail Zahid, Marios Mamalis, 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 15, 2018
Reducing right ventricular pacing burden: algorithms, benefits, and risksLior Jankelson, Pierre Bordachar, Mark Strik, et al.
Cardiovascular Digital Health Journal|August 21, 2023
Explainable SHAP-XGBoost models for in-hospital mortality after myocardial infarctionConstantine Tarabanis, Evangelos Kalampokis, Mahmoud Khalil, et al.
Nature Medicine|March 11, 2020
Deep learning models for electrocardiograms are susceptible to adversarial attackXintian Han, Yuxuan Hu, Luca Foschini, et al.
JACC. Case Reports|July 28, 2021
Sudden Cardiac Arrest in a Patient With Mitral Valve Prolapse and LMNA and SCN5A MutationsAsha M Mahajan, Yuval Itan, Marina Cerrone, et al.
American Heart Journal|December 14, 2019
Quantitative analysis of ablation technique predicts arrhythmia recurrence following atrial fibrillation ablationLior Jankelson, Matthew Dai, Scott Bernstein, et al.
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