Computational modeling identifies the cellular electromechanical effects of disrupted intracellular calcium handling in arrhythmogenic cardiomyopathy patients
Event: Frontiers in CardioVascular Biomedicine 2022
Topic: Cardiomyopathies
Session: Semmelweis University Moderated Poster Award session
Computational modeling identifies the cellular electromechanical effects of disrupted intracellular calcium handling in arrhythmogenic cardiomyopathy patients
Event: EHRA 2022
Topic: Cardiac Diseases
Session: ePosters Day 3
Development of a multiscale electromechanical computer model from cell to hemodynamics
Event: EHRA 2021
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Session: WGCCE
Synergy between data and knowledge-based models: the hybrid artificial intelligence approach.
Event: ESC Congress 2020
Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support
Session: The Digital Twin: a Mirror for Personalized Medicine
Irregular beat-to-beat hemodynamic properties determine left ventricular function during atrial fibrillation
Event: ESC Congress 2020
Topic: Pathophysiology and Mechanisms
Session: Atrial Fibrillation ePosters
Differentiating the exercise-induced effects of acute beta-adrenergic stimulation and stretch on calcium and force dynamics using a novel electromechanical cardiomyocyte model
Event: EHRA 2019
Topic: e-Cardiology/Digital Health, Other
Session: Intracellular calcium (dys)regulation and cardiac remodeling
Redefining risk with Artificial Intelligence.
Event: CMR 2018 (the 5th joint EuroCMR/SCMR meeting)
Topic: Cardiac Magnetic Resonance (CMR)
Session: Lecture Session 2 - Machine Learning Artificial Intelligence and Post Processing
Risk stratification in hypertrophic cardiomyopathy based on QRS and T wave morphological biomarkers identifies three phenotypic subgroups.
Event: ESC Congress 2016
Topic: ECG and arrhythmia analysis
Session: ECG, arrhythmia analysis, cardiovascular signal processing
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