The segmentation of liver blood vessels is of major importance as it is essential for
formulating diagnoses, planning and delivering treatments, as well as evaluating the results …

Colorectal cancer (CRC) is the third most common type of cancer with the liver being the
most common site for cancer spread. A precise understanding of patient liver anatomy and …

Growing interest surrounds the assessment of perivascular spaces (PVS) on magnetic
resonance imaging (MRI) and their validation as a clinical biomarker of adverse brain …

Purpose Segmentation of liver vessels from CT images is indispensable prior to surgical
planning and aroused a broad range of interest in the medical image analysis community …

Automatic liver tumor segmentation is of great importance for assisting doctors in liver
cancer diagnosis and treatment planning. Recently, deep learning approaches trained with …

Vessel enhancement (aka vesselness) filters, are part of angiographic image processing for
more than twenty years. Their popularity comes from their ability to enhance tubular …

Map‐like visualizations of patient‐specific cardiovascular structures have been applied in
numerous medical application contexts. The term map‐like alludes to the characteristics …

Accurate geometric modeling of blood vessel lumen from 3D images is crucial for vessel
quantification as part of the diagnosis, treatment, and monitoring of vascular diseases. Our …

Identification and quantitative segmentation of individual blood vessels in mice visualized
with preclinical imaging techniques is a tedious, manual or semiautomated task that can …

Simple Summary Three-dimensional models of tumor vascular networks are of significant
importance for in vitro and in silico investigations of, for example, the efficiency of anti-cancer …