86 citations · 133 across the 10 of their papers we have counts for
10 papers
Deep learning motion correction of quantitative stress perfusion cardiovascular magnetic resonance
Noortje I. P. Schueler, Nathan C. K. Wong, Richard J. Crawley +3
Background: Quantitative stress perfusion cardiovascular magnetic resonance (CMR) is a powerful tool for assessing myocardial ischemia. Motion correction is essential for accurate…
DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI
Denis Prokopenko, David F. A. Lloyd, Amedeo Chiribiri +2
Dynamic fetal heart magnetic resonance imaging (MRI) presents unique challenges due to the fast heart rate of the fetus compared to adult subjects and uncontrolled fetal motion. Th…
Improved 3D Whole Heart Geometry from Sparse CMR Slices
Yiyang Xu, Hao Xu, Matthew Sinclair +6
Cardiac magnetic resonance (CMR) imaging and computed tomography (CT) are two common non-invasive imaging methods for assessing patients with cardiovascular disease. CMR typically…
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…
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
Ruth P Lim, Stefan Kachel, Adriana DM Villa +5
Objectives: To develop an image-based automatic deep learning method to classify cardiac MR images by sequence type and imaging plane for improved clinical post-processing efficien…