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Optimization of manufacturing parameters through machine learning techniques to create biomimetic vascular implants

Research output: Contribution to conference - Without ISBN/ISSN › Poster › peer-review

Published

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Optimization of manufacturing parameters through machine learning techniques to create biomimetic vascular implants. / Ciudad, Elisa Roldán; Reeves, Neil; Cooper, Glen et al.
2023.

Research output: Contribution to conference - Without ISBN/ISSN › Poster › peer-review

Harvard

Ciudad, ER, Reeves, N, Cooper, G & Andrews, K 2023, 'Optimization of manufacturing parameters through machine learning techniques to create biomimetic vascular implants'.

APA

Ciudad, E. R., Reeves, N., Cooper, G., & Andrews, K. (2023). Optimization of manufacturing parameters through machine learning techniques to create biomimetic vascular implants.

Vancouver

Ciudad ER, Reeves N, Cooper G, Andrews K. Optimization of manufacturing parameters through machine learning techniques to create biomimetic vascular implants. 2023.

Author

Ciudad, Elisa Roldán ; Reeves, Neil ; Cooper, Glen et al. / Optimization of manufacturing parameters through machine learning techniques to create biomimetic vascular implants.

Bibtex

@conference{9865b415a13a49caa22eb2ad63268510,
title = "Optimization of manufacturing parameters through machine learning techniques to create biomimetic vascular implants",
author = "Ciudad, {Elisa Rold{\'a}n} and Neil Reeves and Glen Cooper and Kirstie Andrews",
year = "2023",
month = mar,
day = "29",
language = "English",

}

RIS

TY - CONF

T1 - Optimization of manufacturing parameters through machine learning techniques to create biomimetic vascular implants

AU - Ciudad, Elisa Roldán

AU - Reeves, Neil

AU - Cooper, Glen

AU - Andrews, Kirstie

PY - 2023/3/29

Y1 - 2023/3/29

M3 - Poster

ER -