Coronary artery disease is caused by the buildup of atherosclerotic plaque in the coronary
arteries, affecting the blood supply to the heart, one of the leading causes of death around …

Automatic rib labeling and anatomical centerline extraction are common prerequisites for
various clinical applications. Prior studies either use in-house datasets that are inaccessible …

Background: Accurate measurement of intracoronary blood flow rate is of great significance
for the diagnosis of ischemic heart disease (IHD). Computational fluid dynamic (CFD) …

We present a multi-stage neural network approach for 3D reconstruction of coronary artery
trees from uncalibrated 2D X-ray angiography images. This method uses several binarized …

Cardiovascular diseases (CVDs) are the most common cause of death worldwide. Invasive x-
ray coronary angiography (ICA) is one of the most important imaging modalities for the …

The three-dimensional creation process or additive manufacturing has a great future in
medicine. Applying successive layers produces objects with incredible precision in relation …

Accurate and automated segmentation of x‐ray coronary angiography (XRCA) is crucial for
both diagnosing and treating coronary artery diseases. Despite the outstanding results …

Cardiovascular diseases (CVDs) are the most common health threats worldwide. 2D X-ray
invasive coronary angiography (ICA) remains the most widely adopted imaging modality for …

A shotcreting robot needs to reconstruct the arch surface in three dimensions (3D) during the
process of spraying a tunnel. To solve this problem, we propose an improved marching cube …

Segmentation of coronary arteries in X-ray angiograms is a crucial step in the assessment of
coronary disease. Recently, many automatic approaches have been proposed to minimize …