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Xulong Yin

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Articles

Machine Learning-Based Classification of Anterior Circulation Cerebral Infarction Using Computational Fluid Dynamics and CT Perfusion Metrics

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By Xulong Yin, Yusheng Zhao, Fuping Huang, Hui Wang
| MDPI
2. Materials and Methods 2.1. Study Design and Subjects This study included patients with ICAS stroke from October 2021 to June 2024. It was approved by the local Institutional Review Board, and informed consent was obtained from all patients.
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Machine Learning-Based Classification of Anterior Circulation Cerebral Infarction Using Computational Fluid Dynamics and CT Perfusion Metrics

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By Xulong Yin, Yusheng Zhao, Hui Wang, Fuping Huang
| Preprints.org
You are already at the latest version Background: Intracranial atherosclerotic stenosis (ICAS) is a primary cause of ischemic stroke and understanding its pathogenesis aids in therapeutic decision-making. This study integrates computational fluid dynamics (CFD), CT perfusion (CTP) metrics, anatomical indexes, and machine learning to classify anterior circulation ICAS within the Chinese Ischemic Stroke Subclassification (CISS) framework and identify characteristics of different stroke mechanisms.
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Gut Microbe-Generated Metabolite Trimethylamine-N-Oxide and Ischemic Stroke

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By Zhen Li, Xinyi He, Qi Fang, Xulong Yin
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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