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03/21/2023
GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI
We present a novel approach to synthesise high-resolution isotropic 3D a...
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03/21/2023
Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry
Purpose: To develop and evaluate an end-to-end deep learning pipeline fo...
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08/25/2022
Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields
Computational fluid dynamics (CFD) can be used to simulate vascular haem...
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03/25/2022
FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation
Purpose: Real-time monitoring of cardiac output (CO) requires low latenc...
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12/09/2020
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
Magnetic Resonance Imaging (MRI) plays a vital role in diagnosis, manage...
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12/22/2019
Rapid Whole-Heart CMR with Single Volume Super-resolution
Background: Three-dimensional, whole heart, balanced steady state free p...
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03/14/2018
Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease
PURPOSE: Real-time assessment of ventricular volumes requires high accel...
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03/14/2018
