3 papers
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…
eess.IV2024
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.IV2023
Towards Robust Cardiac Segmentation using Graph Convolutional Networks
Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef +4
Fully automatic cardiac segmentation can be a fast and reproducible method to extract clinical measurements from an echocardiography examination. The U-Net architecture is the curr…