We focus on the development of personalised computational models of the heart, designed to help diagnosis and therapy planning. Our current challenges are related to new levels of modeling and new clinical applications (pharmacokinetics, screening…). It also integrates new sources of measurements and the access to very large multimodal databases of images and measurements, at various spatial and temporal scales (connected sensors, biobanks…). Our goal is to combine two complementary computational approaches, machine learning and biophysical modelling, to leverage their added value.
Media
Members
- Maxime Sermesant, Group leader
- Pamela Moceri, Cardiologist, Nice University Hospital
- Yingyu Yang, PhD student, co-supervised with Pamela Moceri (Nice University Hospital)
- Josquin Harrison, PhD student, co-supervised with Xavier Pennec
- Safaa Al Ali, Post-doc, co-supervised with Irene Balelli
- Maëlis Morier, PhD student, co-supervised with Patrick Gallinari (Sorbonne Université)
- Evariste Njomgue-Fotso, PhD student
- Rafael Silva, PhD student
- Jairo Rodríguez, Post-doc
Alumni
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Non invasive cardiac personalisation
Simulation of ventricular tachycardia re-entry circuit
heartMeshFine
Electrophysiology
Cardiac Fibres from in vivo Diffusion Tensor Imaging
