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Towards a better understanding of the posttreatment hemodynamic behaviors in femoropopliteal arteries through personalized computational models based on OCT images

Crossref DOI link: https://doi.org/10.1038/s41598-021-96030-2

Published Online: 2021-08-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gökgöl, Can

Ueki, Yasushi

Abler, Daniel

Diehm, Nicolas

Engelberger, Rolf P.

Otsuka, Tatsuhiko

Räber, Lorenz

Büchler, Philippe
Funding

Funding for this research was provided by:

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (320030_173130, 320030_173130)

Schweizerische Herzstiftung (FF19116, FF19116, FF19116, FF19116)
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Text and Data Mining valid from 2021-08-17

Version of Record valid from 2021-08-17
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Article History

Received: 8 January 2021

Accepted: 29 July 2021

First Online: 17 August 2021

Competing interests

: The authors declare no competing interests.

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