Publications of Jairo Rodrìguez-Padilla

1. Jairo Rodrìguez-Padilla, Argyrios Petras, Julie Magat, Jason Bayer, Yann Bihan-Poudec, Dounia El Hamrani, Girish Ramlugun, Aurel Neic, Christoph Augustin, Fanny Vaillant, Marion Constantin, David Benoist, Line Pourtau, Virginie Dubes, Julien Rogier, Louis Labrousse, Olivier Bernus, Bruno Quesson, Michel Haïssaguerre, Matthias Gsell, Gernot Plank, Valéry Ozenne, and Edward Vigmond. Impact of intraventricular septal fiber orientation on cardiac electromechanical function. AJP - Heart and Circulatory Physiology, 322(6):H936-H952, June 2022. Keyword(s): diffusion tensor imaging, electromechanical models, fiber orientation, intraventricular septum, normal structural discontinuities. [bibtex-entry]

1. Safaa Al-Ali, Jairo Rodrìguez-Padilla, Maxime Sermesant, and Irene Balelli. Cardiac Electromechanical Model Sensitivity Analysis using Causal Discovery. In FIMH 2025 - 13th Functional Imaging and Modeling of the Heart International Conference, Dallas, United States, June 2025. Radomìr Chabiniok. Keyword(s): Heart modeling, Electromechanical properties, Causal discovery, Sensitivity analysis. [bibtex-entry]



2. Camilla Ferrario, Jairo Rodrìguez-Padilla, Maelys Venet, Olivier Villemain, and Maxime Sermesant. Myocardial Stiffness Quantification using Ultrasound Shear Wave Elastography and Reduced Modeling for Subject-specific Simulations. In FIMH 2025 - Functional Imaging and Modeling of the Heart, volume 15673, Dallas (TX), United States, pages 41-54, June 2025. Keyword(s): Cardiac mechanics, reduced-order models, ultrafast ultrasound imaging, myocardial stiffness, patient-specific analyses. [bibtex-entry]



3. Maëlis Morier, Jairo Rodrìguez-Padilla, Maxime Sermesant, and Patrick Gallinari. Learning Cardiac Electrophysiology with Graph Neural Networks for Fast Data-driven Personalised Predictions. In FIMH 2025 - 13th Functional Imaging and Modeling of the Heart International Conference, volume 15672 (Part I) and 15673 (Part II), Dallas (TX), United States, pages LNCS 15672 and LNCS 15673, June 2025. Radomìr Chabiniok. Keyword(s): Graph Neural Network, Data-Driven Modeling, Personalized Cardiac Electrophysiology, Graph Neural Network Data-Driven Modeling Personalized Cardiac Electrophysiology, Graph Neural Network. [bibtex-entry]



4. Jairo Rodrìguez-Padilla, Rafael Silva, Buntheng Ly, Mihaela Pop, and Maxime Sermesant. Personalisation of Action Potentials Based on Activation Recovery Intervals in Post Infarcted Pigs: A Simulation Study. In IEEE Xplore, volume 51, Karlsruhe (Allemagne), Germany, September 2024. Keyword(s): Cardiac Modeling, Partial Differential Equations, Simulation, Electrophysiology. [bibtex-entry]



5. Rafael Silva, Jairo Rodrìguez-Padilla, Mihaela Pop, and Maxime Sermesant. Automatic Analysis of Activation Recovery Interval in Heterogeneous Fibrotic Tissue from Chronically Infarcted Swine. In Computing in Cardiology, volume 51, Karlsruhe, Germany, September 2024. [bibtex-entry]

1. Rafael Silva, Jairo Rodrìguez-Padilla, Mihaela Pop, and Maxime Sermesant. Activation Recovery Interval for Personalized Cardiac Assessment. CinC 2024 - (&th international Computing in Cardiology, September 2024. Note: Poster. [bibtex-entry]

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