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	Predictors of epilepsy presentation in unruptured brain arteriovenous malformations: a quantitative evaluation of location and radiomics features on T2 weighted imaging.
	Yupeng Zhang; Peng Yan; Fei Liang; Chao Ma; Shikai Liang; Chuhan Jiang
刊名	World neurosurgery
	2019
关键词	Epilepsy arteriovenous malformation classification machine learning radiomics
ISSN号	1878-8769
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4735876
专题	湖南大学
作者单位	1.Departments of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China. Departments of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address: jiangchuhan126@12 2.com.
推荐引用方式 GB/T 7714	Yupeng Zhang,Peng Yan,Fei Liang,et al. Predictors of epilepsy presentation in unruptured brain arteriovenous malformations: a quantitative evaluation of location and radiomics features on T2 weighted imaging.[J]. World neurosurgery,2019.
APA	Yupeng Zhang,Peng Yan,Fei Liang,Chao Ma,Shikai Liang,&Chuhan Jiang.(2019).Predictors of epilepsy presentation in unruptured brain arteriovenous malformations: a quantitative evaluation of location and radiomics features on T2 weighted imaging..World neurosurgery.
MLA	Yupeng Zhang,et al."Predictors of epilepsy presentation in unruptured brain arteriovenous malformations: a quantitative evaluation of location and radiomics features on T2 weighted imaging.".World neurosurgery (2019).

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