BACKGROUND AND PURPOSE: Identifying the presence and extent of intracranial thrombi
is crucial in selecting patients with acute ischemic stroke for treatment. This article aims to …

We read the article by Zhu et al 1 with interest. The authors provided a new method to
automatically segment intracranial thrombus on NCCT and CTA in patients with acute …

Thrombus imaging characteristics are associated with treatment success and functional
outcomes in stroke patients. However, assessing these characteristics based on manual …

The aim of this study was to develop a convolutional neural network (CNN) that
automatically detects and segments intra-arterial thrombi on baseline non-contrast …

Background Computed tomography perfusion (CTP) is the mainstay to determine possible
eligibility for endovascular thrombectomy (EVT), but there is still a need for alternative …

Background and Purpose: The ISLES challenge (Ischemic Stroke Lesion Segmentation)
enables globally diverse teams to compete to develop advanced tools for stroke lesion …

Purpose Cerebral infarct volume observed in follow‐up noncontrast computed tomography
(NCCT) scans of acute ischemic stroke (AIS) patients is as an important radiologic outcome …

BACKGROUND: Endovascular mechanical thrombectomy (EMT) is an effective method to
treat acute ischemic stroke (AIS) patients due to large vessel occlusion (LVO). However …

Non-contrast head CT (NCCT) is extremely insensitive for early (< 3–6 h) acute infarct
identification. We developed a deep learning model that detects and delineates suspected …

OBJECTIVE In patients with large-vessel occlusion (LVO) acute ischemic stroke (AIS),
determinations of infarct size play a key role in the identification of candidates for …