Centre de recherche Cardio-Thoracique de Bordeaux
I received a PhD in Biomedical Engineering from the Johns Hopkins School of Medicine. I am currently a full-time researcher at the IHU LIRYC – Electrophysiology and Heart Modeling Institute in Pessac, France. At the IHU LIRYC, I work closely with other international researchers to contribute to the institute’s mission of developing novel diagnostic tools and treatments for cardiac arrhythmia. My work primarily focuses on the utilization of large-scale computer models of the human heart to better understand and test arrhythmia therapies in patients, and validating these results with experimental approaches as optical imaging. My research is currently being funded by l’Agence Nationale de la Recherche (ANR) and the European Research Area Network on Cardiovascular Diseases (ERA-CVD).
Mechanisms linking electrical alternans and clinical ventricular arrhythmia in human heart failure.
Heart rhythm 09, 2016 | Pubmed ID: 27215536
Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms.
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 Dec, 2016 | Pubmed ID: 28011842
Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data.
Medical image analysis 04, 2018 | Pubmed ID: 29414438
Variability in pulmonary vein electrophysiology and fibrosis determines arrhythmia susceptibility and dynamics.
PLoS computational biology 05, 2018 | Pubmed ID: 29795549
Wide-area low-energy surface stimulation of large mammalian ventricular tissue.
Scientific reports 11, 2019 | Pubmed ID: 31676789
Low-energy, single-pulse surface stimulation defibrillates large mammalian ventricles.
Heart rhythm Feb, 2022 | Pubmed ID: 34648972
The Purkinje network plays a major role in low-energy ventricular defibrillation.
Computers in biology and medicine Feb, 2022 | Pubmed ID: 34954609
Néstor Pallares-Lupon1,2,
Jason D. Bayer1,2,
Bastien Guillot1,2,
Guido Caluori1,2,
Girish S. Ramlugun1,2,
Kanchan Kulkarni1,2,
Virginie Loyer1,2,
Stephane Bloquet1,2,
Dounia El Hamrani1,2,
Jérôme Naulin1,2,
Marion Constantin1,2,
Pierre Dos Santos1,2,3,
Olivier Bernus1,2,
Pierre Jaïs1,2,3,
Philippe Pasdois1,2,
Richard D. Walton1,2
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