In-Silico Evaluation of an Iterative Pace-Mapping Technique to Guide Catheter Ablation of Ventricular Ectopy. - Andony Arrieula; Hubert Cochet; Pierre Jaïs; Michel Haïssaguerre; Mark Potse (CinC, 2019)

An Improved Iterative Pace-Mapping Algorithm to Detect the Origin of Premature Ventricular Contractions. - Andony Arrieula; Hubert Cochet; Pierre Jaïs; Michel Haïssaguerre; Mark Potse (CinC, 2020)

In-Silico Data Based Machine Learning Technique Predicts Premature Ventricular Contraction Origin Coordinates. - Andony Arrieula; Hubert Cochet; Pierre Jaïs; Michel Haïssaguerre; Nejib Zemzemi; Mark Potse (CinC, 2021)

A Patient-Specific Single Equivalent Dipole Model. - Gabriel Cardoso 001; Geneviève Robin; Andony Arrieula; Mark Potse; Michel Haïssaguerre; Eric Moulines; Rémi Dubois (CinC, 2022)

Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. - Victoriya Kashtanova; Ibrahim Ayed; Andony Arrieula; Mark Potse; Patrick Gallinari; Maxime Sermesant (MIDL, 2022)

Méthodes numériques d'apprentissage pour faciliter la localisation des arythmies ventriculaires lors d'une procédure d'ablation. (Numerical learning methods to facilitate ventricular arrhythmias localisation during ablation procedures). - Andony Arrieula (2022)