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	Sensitivity of Ablation Targets Prediction to Electrophysiological Parameter Variability in Image-Based Computational Models of Ventricular Tachycardia in Post-infarction Patients
	Deng, Dongdong; Prakosa, Adityo; Shade, Julie; Nikolov, Plamen; Trayanova, Natalia A.
刊名	FRONTIERS IN PHYSIOLOGY
	2019
卷号	10
关键词	ventricular tachycardia patient-specific modeling ablation uncertainty LGE-MRI
ISSN号	1664-042X
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3217416
专题	大连理工大学
作者单位	1.Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA. 2.Dalian Univ Technol, Sch Biomed Engn, Dalian, Peoples R China. 3.Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA.
推荐引用方式 GB/T 7714	Deng, Dongdong,Prakosa, Adityo,Shade, Julie,et al. Sensitivity of Ablation Targets Prediction to Electrophysiological Parameter Variability in Image-Based Computational Models of Ventricular Tachycardia in Post-infarction Patients[J]. FRONTIERS IN PHYSIOLOGY,2019,10.
APA	Deng, Dongdong,Prakosa, Adityo,Shade, Julie,Nikolov, Plamen,&Trayanova, Natalia A..(2019).Sensitivity of Ablation Targets Prediction to Electrophysiological Parameter Variability in Image-Based Computational Models of Ventricular Tachycardia in Post-infarction Patients.FRONTIERS IN PHYSIOLOGY,10.
MLA	Deng, Dongdong,et al."Sensitivity of Ablation Targets Prediction to Electrophysiological Parameter Variability in Image-Based Computational Models of Ventricular Tachycardia in Post-infarction Patients".FRONTIERS IN PHYSIOLOGY 10(2019).

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