AIMC Topic: Middle Cerebral Artery
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Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks.
IEEE transactions on bio-medical engineering
Feb 1, 2019
OBJECTIVE: To develop an automated vessel wall segmentation method using convolutional neural networks to facilitate the quantification on magnetic resonance (MR) vessel wall images of patients with intracranial atherosclerotic disease (ICAD).
Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory.
BMC medical imaging
May 30, 2025
OBJECTIVES: This study aims to develop an imaging-based machine learning model for evaluating the severity of ischemic stroke in the middle cerebral artery (MCA) territory.
Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstruction.
Journal of integrative neuroscience
Dec 30, 2021
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative reconstruc...
[Perioperative stroke effectively treated by an acute stroke team including anesthesia department: a case report].
Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Dec 18, 2017
Perioperative stroke is cerebral infarction occurring in the perioperative period. The incidence of perioperative stroke in non-cardiac, and non-neurologic surgery is about 0.7%, but the mortality can be as high as 26% to 40%. The outcome of the pati...
Efficacy and Safety Evaluation on Arterial Thrombolysis in Treating Acute Cerebral Infarction.
Cell biochemistry and biophysics
Nov 1, 2015
The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis in treating acute cerebral infarction and further discuss the indications of acute cerebral infarction treatment, in order to enhance the therapeutic e...
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