23 citations · 33 across the 3 of their papers we have counts for
3 papers
Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping
Hang Jung Ling, Salomé Bru, Julia Puig +6
Intraventricular vector flow mapping (iVFM) seeks to enhance and quantify color Doppler in cardiac imaging. In this study, we propose novel alternatives to the traditional iVFM opt…
Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?
Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand +3
Deep learning-based methods have spearheaded the automatic analysis of echocardiographic images, taking advantage of the publication of multiple open access datasets annotated by e…
Full-volume three-component intraventricular vector flow mapping by triplane color Doppler
Florian Vixège, Alain Berod, Pierre-Yves Courand +5
Intraventricular vector flow mapping (iVFM) is a technique for retrieving 2-D velocity vector fields of blood flow in the left ventricle. This method is based on conventional color…