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020 ▼a 9798835548804
035 ▼a (MiAaPQ)AAI29176528
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 612
1001 ▼a Lan, Ingrid Sheu.
24510 ▼a Virtual Treatment Planning and Numerical Fluid-Structure Interaction Methods for Congenital Heart Disease.
260 ▼a [S.l.]: ▼b Stanford University., ▼c 2022.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2022.
300 ▼a 200 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
500 ▼a Advisor: Marsden, Alison L. ;Feinstein, Jeffrey A. ;Iaccarino, Gianluca.
5021 ▼a Thesis (Ph.D.)--Stanford University, 2022.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0212.
650 4 ▼a Physiology.
650 4 ▼a Patients.
650 4 ▼a Fluid-structure interaction.
650 4 ▼a Coronary vessels.
650 4 ▼a Adaptation.
650 4 ▼a Veins & arteries.
650 4 ▼a Hemodynamics.
650 4 ▼a Heart.
650 4 ▼a Annotations.
650 4 ▼a Boundary conditions.
650 4 ▼a Pulmonary arteries.
650 4 ▼a Shear stress.
650 4 ▼a Biology.
650 4 ▼a Mathematics.
690 ▼a 0719
690 ▼a 0306
690 ▼a 0405
71020 ▼a Stanford University.
7730 ▼t Dissertations Abstracts International ▼g 84-01B.
773 ▼t Dissertation Abstract International
790 ▼a 0212
791 ▼a Ph.D.
792 ▼a 2022
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16616925 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202302 ▼f 2023
990 ▼a ***1012033
991 ▼a E-BOOK