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Modeling and Reducing the Effect of Geometric Uncertainties in Intracranial Aneurysms with Polynomial Chaos Expansion, Data Decomposition, and 4D-Flow MRI

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作者： Isaac Perez-Raya ^[1] ; Mojtaba F. Fathi ; Ahmadreza Baghaie ; Raphael Sacho ; Roshan M. D'Souza

作者单位： Department of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA ^[1]

关键词 4D-Flow MRI Uncertainty quantification Polynomial Chaos expansion Intracranial aneurysms Simulation.

发布时间 2021-08-11

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Cardiovascular engineering and technology.

2021年12卷2期

127-143页

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Cardiovascular engineering and technology.

2021年12卷2期

127-143页

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Modeling and Reducing the Effect of Geometric Uncertainties in Intracranial Aneurysms with Polynomial Chaos Expansion, Data Decomposition, and 4D-Flow MRI

Cardiovascular engineering and technology.

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Modeling and Reducing the Effect of Geometric Uncertainties in Intracranial Aneurysms with Polynomial Chaos Expansion, Data Decomposition, and 4D-Flow MRI

Cardiovascular engineering and technology.

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Cardiovascular engineering and technology.

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