collaborators

5 papers

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…

cs.CV2026

EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion

Md Abulkalam Azad, Vegard Holmstrøm, John Nyberg +4

Myocardial point tracking (MPT) has recently emerged as a promising direction for motion estimation in echocardiography, driven by advances in general-purpose point tracking method…

eess.IV2025

Regional quality estimation for echocardiography using deep learning

Gilles Van De Vyver, Svein-Erik Måsøy, Håvard Dalen +7

Automatic estimation of cardiac ultrasound image quality can be beneficial for guiding operators and ensuring the accuracy of clinical measurements. Previous work often fails to di…

cs.CV2025

Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion

Md Abulkalam Azad, John Nyberg, HÃ¥vard Dalen +3

Accurate motion estimation for tracking deformable tissues in echocardiography is essential for precise cardiac function measurements. While traditional methods like block matching…

eess.IV2025

Low Complexity Point Tracking of the Myocardium in 2D Echocardiography

Artem Chernyshov, John Nyberg, Vegard Holmstrøm +6

Deep learning methods for point tracking are applicable in 2D echocardiography, but do not yet take advantage of domain specifics that enable extremely fast and efficient configura…