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20212026
most citedPhysics-Guided Neural Networks for Intraventricular Vector Flow Mapping

23 citations · 52 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2026

Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

Thierry Judge, Nicolas Duchateau, Andreas Østvik +6

Myocardial strain from echocardiography is a key biomarker for cardiac function. Recent deep learning methods show strong performance for myocardial motion tracking but often lack…

eess.IV2026

Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?

Thierry Judge, Nicolas Duchateau, Andreas Østvik +13

Speckle tracking echocardiography (STE) is the clinical standard for myocardial strain estimation. Despite good performance on global strain (GLS), its accuracy for regional strain…

eess.IV2024★ 23 cited

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…

cs.CV2024★ 1 cited

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification

Nathan Painchaud, Jérémie Stym-Popper, Pierre-Yves Courand +4

Deep learning enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provi…

eess.IV2023

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…

physics.med-ph2021★ 10 cited

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…

physics.med-ph2021★ 18 cited

Physics-constrained intraventricular vector flow mapping by color Doppler

Florian Vixège, Alain Berod, Yunyun Sun +6

Color Doppler by transthoracic echocardiography creates 2-D fan-shaped maps of blood velocities in the cardiac cavities. It is a one-component velocimetric technique since it only…