10 citations · 10 across the 2 of their papers we have counts for
3 papers
High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D Cine MRI using Online Learning Neural Networks
Christoforos Galazis, Samuel Shepperd, Emma Brouwer +7
The functional analysis of the left atrium (LA) is important for evaluating cardiac health and understanding diseases like atrial fibrillation. Cine MRI is ideally placed for the d…
Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI
Elena Martín-González, Ebraham Alskaf, Amedeo Chiribiri +4
First-pass perfusion cardiac magnetic resonance (FPP-CMR) is becoming an essential non-invasive imaging method for detecting deficits of myocardial blood flow, allowing the assessm…
Left atrial ejection fraction estimation using SEGANet for fully automated segmentation of CINE MRI
Ana Lourenço, Eric Kerfoot, Connor Dibblin +7
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, characterised by a rapid and irregular electrical activation of the atria. Treatments for AF are often ine…