Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …

Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

Segmentation of medical images, particularly late gadolinium-enhanced magnetic
resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first …

Atrial fibrillation (AF) is the most prevalent form of cardiac arrhythmia. Current treatments for
AF remain suboptimal due to a lack of understanding of the underlying atrial structures that …

Knowledge of left atrial (LA) anatomy is important for atrial fibrillation ablation guidance,
fibrosis quantification and biophysical modelling. Segmentation of the LA from Magnetic …

Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …

Left atrial (LA) segmentation from late gadolinium enhanced magnetic resonance imaging
(LGE MRI) is a crucial step needed for planning the treatment of atrial fibrillation. However …

Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …

The U-Net has achieved great success in medical image segmentation. Most U-Nets follow
the encoding–decoding-decision inference path and propagate the features from encoding …

Background Preservation and improvement of heart and vessel health is the primary
motivation behind cardiovascular disease (CVD) research. Development of advanced …