Since the emergence of convolutional neural networks (CNNs), and later v...
The subject of "fairness" in artificial intelligence (AI) refers to asse...
Convolutional neural networks (CNNs) have demonstrated promise in automa...
Purpose: To demonstrate the feasibility and performance of a fully autom...
Accelerating the acquisition of magnetic resonance imaging (MRI) is a
ch...
Large prospective epidemiological studies acquire cardiovascular magneti...
Background: The trend towards large-scale studies including population
i...
The exploitation of large-scale population data has the potential to imp...
Cardiac magnetic resonance (CMR) images play a growing role in the diagn...
Recent advances in deep learning based image segmentation methods have
e...
Cardiac motion estimation and segmentation play important roles in
quant...
Cardiovascular magnetic resonance (CMR) imaging is a standard imaging
mo...