Search Results - "Khalil, Ahmed A"
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Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome
Published in PloS one (06-04-2020)“…State-of-the-art machine learning (ML) artificial intelligence methods are increasingly leveraged in clinical predictive modeling to provide clinical decision…”
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Elevated brain oxygen extraction fraction measured by MRI susceptibility relates to perfusion status in acute ischemic stroke
Published in Journal of cerebral blood flow and metabolism (01-03-2020)“…Recent clinical trials of new revascularization therapies in acute ischemic stroke have highlighted the importance of physiological imaging to identify optimal…”
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Reliability of collapse simulation – Comparing finite and applied element method at different levels
Published in Engineering structures (01-12-2018)“…•Cases of three different scales are simulated and compared by FEM and AEM.•Blast and earthquake loading is considered.•Comparison of simulated debris heaps…”
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DCE-MRI blood-brain barrier assessment in acute ischemic stroke
Published in Neurology (31-01-2017)“…To quantitatively evaluate blood-brain barrier changes in ischemic stroke patients using dynamic contrast-enhanced (DCE) MRI. We examined 54 stroke patients…”
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On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
Published in European radiology experimental (21-01-2021)“…Average Hausdorff distance is a widely used performance measure to calculate the distance between two point sets. In medical image segmentation, it is used to…”
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Relationship Between Changes in the Temporal Dynamics of the Blood-Oxygen-Level-Dependent Signal and Hypoperfusion in Acute Ischemic Stroke
Published in Stroke (1970) (01-04-2017)“…BACKGROUND AND PURPOSE—Changes in the blood-oxygen-level-dependent (BOLD) signal provide a noninvasive measure of blood flow, but a detailed comparison with…”
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BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease
Published in Frontiers in artificial intelligence (25-09-2020)“…Arterial brain vessel assessment is crucial for the diagnostic process in patients with cerebrovascular disease. Non-invasive neuroimaging techniques, such as…”
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Re-thinking the Etiological Framework of Neurodegeneration
Published in Frontiers in neuroscience (24-07-2019)“…Neurodegenerative diseases are among the leading causes of disability and death worldwide. The disease-related socioeconomic burden is expected to increase…”
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The impact of ischemic stroke on connectivity gradients
Published in NeuroImage clinical (01-01-2019)“…The functional organization of the brain can be represented as a low-dimensional space that reflects its macroscale hierarchy. The dimensions of this space,…”
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Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values
Published in IEEE access (2024)“…Insurance fraud is a prevalent issue that insurance companies must face, particularly in the realm of automobile insurance. This type of fraud has significant…”
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Influence of rubber pads on vibration levels and structural behavior of subway tunnels
Published in Journal of low frequency noise, vibration, and active control (01-09-2021)“…The principal aim of this paper is to analyze the impact of rubber pad systems on levels of vibrations and values of stresses and deformations induced in the…”
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Predicting the Response to Non-invasive Brain Stimulation in Stroke
Published in Frontiers in neurology (02-04-2019)Get full text
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13
Predicting Insolvency of Insurance Companies in Egyptian Market Using Bagging and Boosting Ensemble Techniques
Published in IEEE access (2022)“…Insolvency is a crucial problem for several insurance companies that suffer from it. This problem has direct or indirect effects on both the people working in…”
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Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease
Published in Frontiers in neurology (17-10-2022)“…Brain arteries are routinely imaged in the clinical setting by various modalities, e.g., time-of-flight magnetic resonance angiography (TOF-MRA). These imaging…”
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Latest advances in hepatocellular carcinoma management and prevention through advanced technologies
Published in Egyptian Liver Journal (02-01-2024)“…BackgroundHepatocellular carcinoma (HCC) is a common type of liver cancer, with a high mortality rate. Hepatocellular carcinoma is a type of liver cancer that…”
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An evaluation of performance measures for arterial brain vessel segmentation
Published in BMC medical imaging (16-07-2021)“…Arterial brain vessel segmentation allows utilising clinically relevant information contained within the cerebral vascular tree. Currently, however, no…”
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Oxidative stress and inflammation: elucidating mechanisms of smoking-attributable pathology for therapeutic targeting
Published in Bulletin of the National Research Centre (01-12-2024)“…Background Tobacco smoking remains a major preventable cause of disease and death worldwide. Combustible cigarettes release thousands of chemicals that can…”
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Recent trends in Helicobacter pylori management: harnessing the power of AI and other advanced approaches
Published in Beni-Suef University journal of basic and applied sciences (01-12-2023)“…Background Helicobacter pylori ( H. pylori ) is a bacterial infection that is prevalent and affects more than half of the world's population, causing stomach…”
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The Association Between Recanalization, Collateral Flow, and Reperfusion in Acute Stroke Patients: A Dynamic Susceptibility Contrast MRI Study
Published in Frontiers in neurology (25-10-2019)“…Background: Collateral circulation in ischemic stroke patients plays an important role in infarct evolution und assessing patients' eligibility for…”
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A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch
Published in NeuroImage clinical (01-01-2023)“…When time since stroke onset is unknown, DWI-FLAIR mismatch rating is an established technique for patient stratification. A visible DWI lesion without…”
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