View in EDS

Transient flow prediction in an idealized aneurysm geometry using data assimilation.

Saved in:
Bibliographic Details
Title: Transient flow prediction in an idealized aneurysm geometry using data assimilation.
Authors: Gaidzik F; Lab. of Fluid Dynamics and Technical Flows, Otto von Guericke University Magdeburg, Germany., Stucht D; Institute of Experimental Physics, Otto von Guericke University Magdeburg, Germany; Institute of Biometry and Medical Informatics, Otto von Guericke University Magdeburg, Germany., Roloff C; Lab. of Fluid Dynamics and Technical Flows, Otto von Guericke University Magdeburg, Germany., Speck O; Institute of Experimental Physics, Otto von Guericke University Magdeburg, Germany; Leibniz Institute for Neurobiology, Magdeburg, Germany., Thévenin D; Lab. of Fluid Dynamics and Technical Flows, Otto von Guericke University Magdeburg, Germany., Janiga G; Lab. of Fluid Dynamics and Technical Flows, Otto von Guericke University Magdeburg, Germany. Electronic address: janiga@ovgu.de.
Source: Computers in biology and medicine [Comput Biol Med] 2019 Dec; Vol. 115, pp. 103507. Date of Electronic Publication: 2019 Oct 16.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2019.103507