With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis …

Artificial intelligence (AI) continues to garner substantial interest in medical imaging. The
potential applications are vast and include the entirety of the medical imaging life cycle from …

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 …

Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible
on all computed tomography (CT) scans of the chest, this information is not routinely …

Since recent achievements of Artificial Intelligence (AI) have proven significant success and
promising results throughout many fields of application during the last decade, AI has also …

Coronary artery disease (CAD), the most common manifestation of cardiovascular disease,
remains the most common cause of mortality in the United States. Risk assessment is key for …

In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

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 …

Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the
general population. Low dose computed tomography (LDCT) for lung cancer screening …

Background Separate noncontrast CT to quantify the coronary artery calcium (CAC) score
often precedes coronary CT angiography (CTA). Quantifying CAC scores directly at CTA …