Intravascular Ultrasound images (IVUS) is a useful guide for medical practitioners to identify
the vascular status of coronary arteries in human beings. IVUS is a unique intracoronary …

Background and Motivation: Coronary artery disease (CAD) has the highest mortality rate;
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …

Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …

Cardiovascular disease serves as the leading cause of death worldwide. Calcification
detection is considered an important factor in cardiovascular diseases. Currently, medical …

The success of drug-eluting stents (DES) is limited by restenosis and, to a lesser extent, late
stent thrombosis. Mechanical stimuli have been implicated in these outcomes, with indices …

Background This study aimed to access the performance of our deep learning-based model
in the segmentation and classification of vascular lesions on IVUS images. Methods A total …

Coronary atherosclerosis is a leading cause of morbidity and mortality worldwide. It is often
treated by placing stents in the coronary arteries. Inappropriately placed stents or …

This chapter discusses the use of AI in interventional cardiology. The chapter outlines how
machine learning is focused on building automated clinical decision systems that help …

Background Approximately 500 000 patients present with critical limb ischemia (CLI) each
year in the US, requiring revascularization to avoid amputation. While peripheral arteries …

Intravascular Ultrasound (IVUS) is a medical imaging modality widely used for the detection
and treatment of coronary heart disease. The detection of vascular structures is extremely …