Research lines

My research focuses on the statistical analysis of cardiac function and notably 2D/3D myocardial shape, motion and deformation patterns, for the understanding of disease apparition and evolution, and, to a certain extent, computer-aided diagnosis.

On the technical side, it mainly covers post-processing through statistical atlases and machine learning techniques. To some extent, it also implies dedicated pre-processing (speckle-tracking, mesh or image registration, and spatiotemporal alignment techniques).

On the clinical side, my work has special dedication to the study of heart failure patients, mostly from echocardiography and magnetic resonance imaging data.

Computational anatomy and statistical atlases

– Image registration and diffeomorphic mappings
– Analysis of longitudinal/temporal sequences
– voxel-based statistics

Pattern analysis

– dimensionality reduction in linear / non-linear spaces
– out-of-sample problem
– pattern matching

Cardiac imaging and cardiology

– 2D/3D echocardiography and speckle-tracking
– cardiac resynchronization therapy
– heart failure