This paper explores the point set representation for tubular structure extraction tasks.
Compared with the traditional mask representation, the point set representation enjoys its …

Extracting the cerebral anterior vessel tree of patients with an intracranial large vessel
occlusion (LVO) is relevant to investigate potential biomarkers that can contribute to …

Segmentation of the coronary artery is an important task for the quantitative analysis of
coronary computed tomography angiography (CCTA) images and is being stimulated by the …

Computational modeling of cardiovascular function has become a critical part of diagnosing,
treating and understanding cardiovascular disease. Most strategies involve constructing …

Deep reinforcement learning (DRL) augments the reinforcement learning framework, which
learns a sequence of actions that maximizes the expected reward, with the representative …

Coronary artery disease is one of the leading causes of death worldwide, and medical
imaging methods such as coronary artery computed tomography are vitally important in its …

Small bowel path tracking is a challenging problem considering its many folds and contact
along its course. For the same reason, it is very costly to achieve the ground-truth (GT) path …

Tubular structures with tree topology such as blood vessels, lung airways, and more are
abundant in human anatomy. Tracking these structures with correct topology is crucial for …

This research was funded by the Dutch Heart Foundation (CVON2015-01: CONTRAST), and
from the Brain Foundation Netherlands (HA2015. 01.06). The collaboration project is …

Abstract According to the World Health Organization statistics, the number of deaths due to
ischemic heart disease (IHD) ranks first in the world. Since 2000, the death toll in 2019 …