Background Cardiovascular resonance (CMR) imaging is a standard imaging modality for
assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR
enables accurate quantification of the cardiac chamber volume, ejection fraction and
myocardial mass, providing information for diagnosis and monitoring of CVDs. However, for
years, clinicians have been relying on manual approaches for CMR image analysis, which is
time consuming and prone to subjective errors. It is a major clinical challenge to …