The treatment of intracranial aneurysms is dictated by its risk of rupture in the future. Several
clinical and radiological risk factors for aneurysm rupture have been described and …

This paper reviews the advancements in deep learning for hepatic vascular segmentation
and its clinical implications in the holistic management of hepatocellular carcinoma (HCC) …

This study investigates the flow and hemodynamics of small perforator blood vessels that
branch from the basilar artery (BA) in the brain. Using advanced imaging techniques and …

Background Carotid web (CaW) is a risk factor for ischemic stroke, mainly in young patients
with stroke of undetermined etiology. Its detection is challenging, especially among non …

This study concentrates on the segmentation of intracranial aneurysms, a pivotal aspect of
diagnosis and treatment planning. We aim to overcome the inherent instance imbalance and …

Intracranial aneurysms (IAs), an asymptomatic vascular lesion, are becoming increasingly
common as imaging technology progresses. Subarachnoid hemorrhage from IAs rupture …

Introduction Intracranial 4D flow MRI enables quantitative assessment of hemodynamics in
patients with intracranial atherosclerotic disease (ICAD). However, quantitative assessments …

Background: The segmentation of cerebral vasculature on magnetic resonance angiography
(MRA) images is crucial for both clinical applications and research. However, existing …

Quantitative angiography (QA) in two dimensions has been instrumental in assessing
neurovascular contrast flow patterns, aiding disease severity and treatment outcome …

The advent of different realms of computational neurosurgery—including not only machine
intelligence but also visualization techniques such as mixed reality and robotic applications …