Utilizing Artificial Intelligence and Computational Fluid Dynamics for the Diagnosis and Data Assimilation in Cerebral Aneurysms

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Utilizing Artificial Intelligence and Computational Fluid Dynamics for the Diagnosis and Data Assimilation in Cerebral Aneurysms

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Note (General)：: 出版タイプ： VoR学位論文　要旨Abstract/本文Full 以下に掲載：Journal of Biomechanical Science and Engineering 18(2) pp.22-00471- 2023. The Japan Society of Mechanical Engin...

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Material Type: 博士論文
Title: Utilizing Artificial Intelligence and Computational Fluid Dynamics for the Diagnosis and Data Assimilation in Cerebral Aneurysms
Author/Editor: LIAO JING
廖晶
Author Heading: LIAO JING
廖晶
Periodical title: 学位論文　要旨Abstract/本文Full
Degree Grantor: 金沢大学
Date Granted: 2023-09-26
Dissertation Number: 甲第5777号
Degree Type: 博士(融合科学）
Text Language Code: eng
Target Audience: 一般
Note (General): 出版タイプ： VoR
学位論文　要旨Abstract/本文Full 以下に掲載：Journal of Biomechanical Science and Engineering 18(2) pp.22-00471- 2023. The Japan Society of Mechanical Engineers. 共著者：Jing LIAO,Jiro SAKAMOTO,Kouichi MISAKI,Prarinya SIRITANAWAN,Kazunori KOTANI
Format (IMT): application/pdf
Source: Full-F-2022012003-LIAO-JING.pdf （fulltext）
https://kanazawa-u.repo.nii.ac.jp/record/2000377/files/Full-F-2022012003-LIAO-JING.pdf
Access Restrictions: インターネット公開
Related Material (DOI): 10.1299/jbse.22-00471
https://doi.org/10.1299/jbse.22-00471
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 金沢大学 : 金沢大学学術情報リポジトリKURA