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The angioarchitecture of the vein of Labbé: a population-based-study of 200 Asian hemispheres
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Application of machine learning algorithms to predict and assess factors related to internal carotid siphon aneurysm occlusion treated with flow diversion
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Artificial intelligence and radiomics for pediatric brain tumor classification and molecular characterization: a systematic review
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Development and evaluation of an automated phase contrast magnetic resonance imaging algorithm for pediatric and adult cerebral blood flow measurement
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Impact of CT slice thickness on hematoma volume estimation by planimetry and ABC/2 in acute intracerebral hemorrhage
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Outcomes, complications, and management in flow diverter treatment of cerebral aneurysms: a 15-year single-center experience
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Endovascular treatment of symptomatic vasospasm and delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage – a systematic review and meta-analysis
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[F]DASA-23 PET/MRI evaluation in newly-diagnosed and recurrent high-grade glioma
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Objective characterization of displacement of the frontal aslant tract in low-grade glioma: a quantitative tractography study
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Artificial intelligence-based segmentation of perisinusoidal tissue along the superior sagittal sinus in human brain magnetic resonance imaging
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Quantitative assessment of idiopathic normal pressure hydrocephalus and obstructive hydrocephalus based on glymphatic parameters
To compare glymphatic system parameters (the Diffusion Tensor Imaging-Analysis of Lymphatic System [DTI-ALPS] index, periv...
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Plaque-level machine-learning prediction of carotid plaque vulnerability on computed tomography angiography
Carotid artery plaques are a major contributor to ischemic stroke, yet current assessment methods focusing on luminal sten...
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Intra-arterial chemoperfusion for breast cancer brain metastases: safety and efficacy
This study presents a retrospective analysis of palliative intra-arterial chemoperfusion (IAC) for patients with symptomat...
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The delayed spectral sign in Post-transfer CT imaging: an imaging marker of stroke severity and hemorrhagic risk
Acute stroke transfer patients often undergo repeat computed tomography (CT) imaging upon arrival at a thrombectomy-capabl...
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Machine learning diagnostic model for amyotrophic lateral sclerosis analysis using MRI-derived features
Amyotrophic Lateral Sclerosis is a devastating motor neuron disease characterized by its diagnostic difficulty. Currently,...
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Ultrasound assessment of peripheral nerve size in Guillain-Barré syndrome: A systematic review and Meta-Analysis
Guillain-Barré Syndrome (GBS) is an autoimmune disorder causing acute inflammatory polyneuropathy, resulting in muscl...
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Efficacy and safety of p48 flow diverters in the treatment of intracranial aneurysms: A systematic review and Meta-Analysis
The p48 movable wire (MW) flow modulation devices are a group of novel low-profile flow diverters (FDs) that have recently...
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Tumor location, genomic alterations, and radiomic features as predictors of survival in glioblastoma: a Multi-Modal analysis
This study aims to identify the impact of tumor location on the survival of glioblastoma (GBM) patients and the associated...
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Endovascular management of a ruptured complex ACoM aneurysm in a 9-month-old infant: a rare case report and literature review
Ruptured intracranial aneurysms in infants are exceptionally rare, particularly saccular aneurysms of the anterior communi...
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Improved CTA imaging for stroke evaluation – deep learning and iterative reconstruction comparative study
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Comparison of brainstem hematoma volume evaluation techniques with a novel quantitative approach
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Predictor value of pCASL maps on final core in acute ischemic stroke: an observational single‑center study
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MRI evaluation of hyperostosis frontalis interna: differentiation and diagnostic insights
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Multicentric prospective study on computed tomography-guided periradicular infiltration and facet joint infiltration
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Correlations between hemodynamics and radiomic features in thrombosed intracranial aneurysms
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Reproducible meningioma grading across multi-center MRI protocols via hybrid radiomic and deep learning features
This study aimed to create a reliable method for preoperative grading of meningiomas by combining radiomic features and de...
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