Quantitative Hemodynamics using Magnetic Resonance Imaging, Computational Fluid Dynamics and Physics-informed Neural Network

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Göttingen, Georg-August Universität, Dissertation, 2023

Keyword: Kernspintomografie
Numerische Strömungssimulation
Turbulente Strömung
Strömungsmechanik
Hämodynamik

Event: Veröffentlichung

(where): Göttingen

(who): Niedersächsische Staats- und Universitätsbibliothek Göttingen

(when): 2023

Creator: Ma, Dandan

Contributor: Uecker, Martin
Uecker, Martin
Klumpp, Stefan

URN: urn:nbn:de:gbv:7-ediss-14726-9

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:48 PM CET

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Ma, Dandan
Uecker, Martin
Klumpp, Stefan
Niedersächsische Staats- und Universitätsbibliothek Göttingen

Time of origin

2023

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Quantitative Hemodynamics using Magnetic Resonance Imaging, Computational Fluid Dynamics and Physics-informed Neural Network

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