Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography-Reference-Cited by-同舟云学术

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Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography

Published:2023-08 Issue:8 Volume:32 Page:107209
ISSN:1052-3057
Container-title:Journal of Stroke and Cerebrovascular Diseases
language:en
Short-container-title:Journal of Stroke and Cerebrovascular Diseases

Author:

Wang Ling-Jie,Zhai Pei-Qing,Xue Li-Li,Shi Cai-Yun,Zhang Qian,Zhang Hua^ORCID

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Rehabilitation,Surgery

Reference31 articles.

1. Carotid Plaque Neovascularization Detected With Superb Microvascular Imaging Ultrasound Without Using Contrast Media;Zamani;Stroke,2019

2. Relation of Carotid Plaque Features Detected with Ultrasonography-Based Radiomics to Clinical Symptoms;Huang;Transl Stroke Res,2021

3. The symptomatic carotid plaque;Golledge;Stroke,2000

4. Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications;Saba;Lancet Neurol,2019

5. Symptomatic carotid atherosclerotic disease: correlations between plaque composition and ipsilateral stroke risk;Howard;Stroke,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clinical Applications of Dual‐Energy Computed Tomography for Acute Ischemic Stroke;Stroke: Vascular and Interventional Neurology;2024-03

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