Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …

Accurate, robust and automatic segmentation of the left atrium (LA) in magnetic resonance
images (MRI) is of great significance for studying the LA structure and facilitating the …

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

The recent global outbreak and spread of coronavirus disease (COVID-19) makes it an
imperative to develop accurate and efficient diagnostic tools for the disease as medical …

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

Medical image segmentation plays a critical role in accurate diagnosis and treatment
planning, enabling precise analysis across a wide range of clinical tasks. This review begins …

The technological development of Artificial Intelligence (AI) has grown rapidly in recent
years. The applications of AI to cardiovascular imaging are various and could improve the …

Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its
implementation will be focused on the automatization tasks, improving diagnostic accuracy …

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 …

Technical advances in artificial intelligence (AI) in cardiac imaging are rapidly improving the
reproducibility of this approach and the possibility to reduce time necessary to generate a …