Periodic-corrected data-driven coupling of blood flow and the vessel wall for virtual surgery

Fast and realistic coupling of blood flow and the vessel wall is of great importance to virtual surgery. In this paper, we propose a novel data-driven coupling method that formulates physics-based blood flow simulation as a regression problem, using an improved periodic-corrected neural network, est...

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Veröffentlicht in:	Simulation (San Diego, Calif.) Calif.), 2020-05, Vol.96 (5), p.449-458
Hauptverfasser:	Mai, Xuejie, Yuan, Zhiyong, Tong, Qianqian, Yuan, Tianchen, Zhao, Jianhui, Liao, Xiangyun, Wang, Qiong
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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