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 …

Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …

While deep convolutional neural networks (CNNs) have achieved remarkable success in 2D
medical image segmentation, it is still a difficult task for CNNs to segment important organs …

A whole heart segmentation (WHS) method is presented for cardiac MRI. This segmentation
method employs multi-modality atlases from MRI and CT and adopts a new label fusion …

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

Automated construction of surface geometries of cardiac structures from volumetric medical
images is important for a number of clinical applications. While deep-learning-based …

Magnetic resonance (MR) imaging has become a routine modality for the determination of
patient cardiac morphology. The extraction of this information can be important for the …

Cardiac resynchronisation therapy (CRT) is an effective treatment for patients with
congestive heart failure and a wide QRS complex. However, up to 30% of patients are non …

Heart disease is the leading cause of death in the modern world. Cardiac imaging is
routinely applied for assessment and diagnosis of cardiac diseases. Computerized image …

Whole heart segmentation from magnetic resonance imaging or computed tomography is a
prerequisite for many clinical applications. Since manual delineation can be tedious and …