Brain extraction is a critical preprocessing step in the analysis of neuroimaging studies
conducted with magnetic resonance imaging (MRI) and influences the accuracy of downstream …

… The U-Net consists of an encoder and a decoder network that are interconnected with skip
… Our adaptation of the U-Net (full description of the network architecture, and applied training …

Purpose: Antiangiogenic treatment with bevacizumab, a mAb to the VEGF, is the single most
widely used therapeutic agent for patients with recurrent glioblastoma. A major challenge is …

Background The purpose of this study was to analyze the potential of radiomics for disease
stratification beyond key molecular, clinical, and standard imaging features in patients with …

Background and Purpose: This study assessed the predictive performance and relative
importance of clinical, multimodal imaging, and angiographic characteristics for predicting the …

… two popular artificial neural network architectures, namely U-Net convolutional neural networks
(U-Net) … The first method involved the use of a 3D CNN based on the U-Net architecture. …

… Mann–Whitney U test was performed to compare nonparametric values of clinical outcome.
The threshold for significance was P<0.05. All statistical analyses were performed using …

Purpose Intracranial hemorrhage (ICH) is a potentially severe complication after mechanical
thrombectomy (MT). Here, we investigated risk factors for the occurrence of any and …

Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with
acute ischemic stroke (AIS), and computer-aided diagnosis (CAD) systems can accelerate the …

BACKGROUND AND PURPOSE: Vessel imaging in acute ischemic stroke is essential to
select patients with large-vessel occlusion for mechanical thrombectomy. Our aim was to …