Post-doctoral fellowship in cardiovascular imaging and AI

Catheter ablation (CA) is a promising treatment for atrial and ventricular cardiac arrhythmias. Electro-anatomical mapping (EAM) systems allow 3D reconstruction of cardiac chambers and display of the arrhythmia source and propagation. The main limitation of AC is the inability, without associated image integration, to show areas harboring a myocardial arrhythmogenic substrate, such as fibrosis or fatty infiltrations, which may be associated with recurrent arrhythmias. Cardiac magnetic resonance imaging (CMR) and computed tomography (CT) have dramatically progressed in the identification of the arrhythmogenic substrate in the myocardial tissue. The combination of these two modalities through a transfer learning strategy may provide a reliable 3D fusion of tissular data from CT and MRI and ultimately facilitate data integration into EAM systems.

This postdoctoral project will be conducted in the Cardiovascular Imaging (iCV) team within the Laboratory of Biomedical Imaging (LIB, Sorbonne Université/Inserm/CNRS) and the Heart Institute of the Pitié-Salêtrière Hospital in Paris (APHP/Sorbonne Université).

Download the proposal here.