On Deep Learning in Cardiovascular Magnetic Resonance Imaging
Cardiovascular disease is the leading global cause of death. Cardiovascular magnetic resonance (CMR) imaging is the gold standard method for evaluating cardiac function and structure and is thus an important tool for diagnostics in cardiovascular disease. Recently, deep learning (DL) methods have achieved notable developments in various aspects of CMR. The aim of this thesis was to further assess
