Deep learning has become the most widely used approach for cardiac image segmentation
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …

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 …

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

Emerging self-ensembling methods have achieved promising semi-supervised
segmentation performances on medical images through forcing consistent predictions of …

The immunological synapse (IS) is a cell-cell junction between a T cell and a professional
antigen-presenting cell. Since the IS formation is a critical step for the initiation of an antigen …

Although atrial fibrillation (AF) is the most common sustained atrial arrhythmia, treatment
success for this condition remains suboptimal. Information from magnetic resonance …

Objective With latest developments in deep learning approaches, automated, accurate, fast,
and generalized segmentation model for left atrium, left ventricle, right ventricle, and …

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

Segmentation of the left atrial chamber and assessing its morphology, are essential for
improving our understanding of atrial fibrillation, the most common type of cardiac …

Segmentation and 3D reconstruction of the human atria is of crucial importance for precise
diagnosis and treatment of atrial fibrillation, the most common cardiac arrhythmia. However …