4 papers · 1 filter
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…
Cardiac valve event timing in echocardiography using deep learning and triplane recordings
Benjamin Strandli Fermann, John Nyberg, Espen W. Remme +9
Cardiac valve event timing plays a crucial role when conducting clinical measurements using echocardiography. However, established automated approaches are limited by the need of e…
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN
Cristiana Tiago, Andrew Gilbert, Ahmed S. Beela +3
Due to privacy issues and limited amount of publicly available labeled datasets in the domain of medical imaging, we propose an image generation pipeline to synthesize 3D echocardi…
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach
Sarina Thomas, Cristiana Tiago, Børge Solli Andreassen +5
To facilitate diagnosis on cardiac ultrasound (US), clinical practice has established several standard views of the heart, which serve as reference points for diagnostic measuremen…