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2020 – today
- 2022
[b1]Andony Arrieula:
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). University of Bordeaux, France, 2022- [c5]Gabriel Cardoso, Geneviève Robin, Andony Arrieula, Mark Potse, Michel Haïssaguerre
, Eric Moulines, Rémi Dubois:
A Patient-Specific Single Equivalent Dipole Model. CinC 2022: 1-4 - [c4]Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant:
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. MIDL 2022: 665-675 - 2021
- [c3]Andony Arrieula, Hubert Cochet, Pierre Jaïs, Michel Haïssaguerre, Nejib Zemzemi, Mark Potse:
In-Silico Data Based Machine Learning Technique Predicts Premature Ventricular Contraction Origin Coordinates. CinC 2021: 1-4 - 2020
- [c2]Andony Arrieula, Hubert Cochet, Pierre Jaïs, Michel Haïssaguerre, Mark Potse:
An Improved Iterative Pace-Mapping Algorithm to Detect the Origin of Premature Ventricular Contractions. CinC 2020: 1-4
2010 – 2019
- 2019
- [c1]Andony Arrieula, Hubert Cochet, Pierre Jaïs, Michel Haïssaguerre, Mark Potse:
In-Silico Evaluation of an Iterative Pace-Mapping Technique to Guide Catheter Ablation of Ventricular Ectopy. CinC 2019: 1-4
Coauthor Index
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