3 papers
cs.CV2025
Lightweight image segmentation for echocardiography
Anders Kjelsrud, Lasse Løvstakken, Erik Smistad +2
Accurate segmentation of the left ventricle in echocardiography can enable fully automatic extraction of clinical measurements such as volumes and ejection fraction. While models c…
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…
eess.IV2025
Generative augmentations for improved cardiac ultrasound segmentation using diffusion models
Gilles Van De Vyver, Aksel Try Lenz, Erik Smistad +5
One of the main challenges in current research on segmentation in cardiac ultrasound is the lack of large and varied labeled datasets and the differences in annotation conventions…