Maxime Sermesant is a permanent researcher at Inria, the French research institute on informatics and mathematics. His research work combines biophysical and statistical modeling with clinical data. This is by nature a very collaborative and multi-disciplinary work at the intersection of academic, clinical and industrial environments. His research interests include biomedical image processing, organ modelling and machine learning. His main focus has been the application of patient-specific models of the heart to cardiac pathologies. He received his Diploma in General Engineering from Ecole Centrale Paris, France in 1999, his MSc from Ecole Normale Superieure de Cachan, France in 1999, and his PhD in Control, Signal and Image Processing from the University of Nice – Sophia Antipolis, France in 2003. From June 2003 to December 2005, he was a Research Fellow with the Cardiac MR Research Group, Guy’s Hospital, King’s College London, UK and since 2005, he is a Research Scientist at Inria.
How will digitalization remodel the future?
Cardiac modeling to optimize LV pacing sites.
Event: EHRA 2019
Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support
Session: Cardiac Resynchronization Therapy (CRT) pacing sites: on the journey to new places
