The identification and treatment of patients with stroke is becoming increasingly complex as
more treatment options become available and new relationships between disease features …

Background Cerebrovascular disease is a significant cause of morbidity and mortality in
Africa, and using neuroimaging techniques has improved the diagnosis and management of …

Artificial intelligence has become a ubiquitous term in radiology over the past several years,
and much attention has been given to applications that aid radiologists in the detection of …

Prognosis of patients with acute ischemic stroke is strictly related to the patency and
prominence of the collateral leptomeningeal pathways distal to the arterial occlusion. The …

Please see the Editorial Comment by Gregory Avey discussing this article. Recent
successful trials of thrombectomy launched a shift to imaging-based patient selection for …

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 …

Objectives To evaluate the performance of CT-based texture analysis (TA) for predicting
clinical outcomes of mechanical thrombectomy (MT) in acute ischemic stroke (AIS). Methods …

Background and objectives: This paper has introduced a patch-based, residual, asymmetric,
encoder-decoder CNN that solves two major problems in acute ischemic stroke lesion …

Dual-energy computed tomography (CT) is a promising tool with increasing availability and
multiple emerging and established clinical applications in neuroradiology. With its ability to …

Background Segmentation and evaluation of infarcts on medical images are essential for
diagnosis and prognosis of acute ischemic stroke (AIS). Computed tomography (CT) is the …