research
∙
01/05/2023
Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI
First-pass perfusion cardiac magnetic resonance (FPP-CMR) is becoming an...
share
research
∙
09/17/2021
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
Objectives: To develop an image-based automatic deep learning method to ...
research
∙
11/25/2020
Physics-informed neural networks for myocardial perfusion MRI quantification
Tracer-kinetic models allow for the quantification of kinetic parameters...
research
∙
08/26/2020
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
Cine cardiac magnetic resonance (CMR) has become the gold standard for t...
research
∙
07/27/2019
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI
The quantification of myocardial perfusion MRI has the potential to prov...
research
∙
06/06/2019
