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Cited by in F6Publishing
For: Stokes C, Bonfanti M, Li Z, Xiong J, Chen D, Balabani S, Díaz-Zuccarini V. A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics. J Biomech 2021;129:110793. [PMID: 34715606 DOI: 10.1016/j.jbiomech.2021.110793] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Stokes C, Haupt F, Becker D, Muthurangu V, von Tengg-kobligk H, Balabani S, Díaz-zuccarini V. The Influence of Minor Aortic Branches in Patient-Specific Flow Simulations of Type-B Aortic Dissection. Ann Biomed Eng 2023. [DOI: 10.1007/s10439-023-03175-4] [Reference Citation Analysis]
2 Garreau M, Puiseux T, Toupin S, Giese D, Mendez S, Nicoud F, Moreno R. Accelerated sequences of 4D flow MRI using GRAPPA and compressed sensing: A comparison against conventional MRI and computational fluid dynamics. Magn Reson Med 2022;88:2432-46. [PMID: 36005271 DOI: 10.1002/mrm.29404] [Reference Citation Analysis]
3 Cherry M, Khatir Z, Khan A, Bissell M. The impact of 4D-Flow MRI spatial resolution on patient-specific CFD simulations of the thoracic aorta. Sci Rep 2022;12:15128. [PMID: 36068322 DOI: 10.1038/s41598-022-19347-6] [Reference Citation Analysis]
4 He Y, Northrup H, Le H, Cheung AK, Berceli SA, Shiu YT. Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases. Front Bioeng Biotechnol 2022;10:855791. [DOI: 10.3389/fbioe.2022.855791] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]