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Academic Radiology|July 21, 2025
Deep Learning-Driven Multimodal Fusion Model for Prediction of Middle Cerebral Artery Aneurysm Rupture RiskXiufen Jia, Yongchun Chen, Kuikui Zheng, et al.Zhonghua Yi Xue Za Zhi|January 28, 2016
[CT perfusion imaging evaluation on hemodynamic changes of acute spontaneous intracerebral hemorrhage surrounding tissues]Yi Kuang, Weijian Chen, Kuikui Zheng, et al.World Neurosurgery|January 7, 2021
Predictors of Poor-Grade Aneurysmal Subarachnoid Hemorrhage Caused by Anterior Communicating Artery AneurysmChao Chen, Xianzhong Guo, Yongchun Chen, et al.Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|October 26, 2016
Computed Tomography Perfusion Deficits during the Baseline Period in Aneurysmal Subarachnoid Hemorrhage Are Predictive of Delayed Cerebral IschemiaYuxia Duan, Haoli Xu, Rui Li, et al.Frontiers in Neurology|August 15, 2022
Predicting the rupture status of small middle cerebral artery aneurysms using random forest modelingJiafeng Zhou, Nengzhi Xia, Qiong Li, et al.Frontiers in Neuroscience|August 30, 2021
Classifying Ruptured Middle Cerebral Artery Aneurysms With a Machine Learning Based, Radiomics-Morphological Model: A Multicentral StudyDongqin Zhu, Yongchun Chen, Kuikui Zheng, et al.Frontiers in Neurology|November 10, 2025
Stroke onset time affected outcomes in the young acute ischemic stroke patients treated with endovascular thrombectomyMengying Yu, Jie Lin, Asta Debora, et al.Quantitative Imaging in Medicine and Surgery|August 15, 2023
Machine learning prediction model for the rupture status of middle cerebral artery aneurysm in patients with hypertension: a Chinese multicenter studyMengqi Lin, Nengzhi Xia, Ru Lin, et al.Pageof 1