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For: Medero R, Hoffman C, Roldán-Alzate A. Comparison of 4D Flow MRI and Particle Image Velocimetry Using an In Vitro Carotid Bifurcation Model. Ann Biomed Eng 2018;46:2112-22. [PMID: 30112708 DOI: 10.1007/s10439-018-02109-9] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Naets I, Ahkami M, Huang P, Saar MO, Kong X. Shear induced fluid flow path evolution in rough-wall fractures: A particle image velocimetry examination. Journal of Hydrology 2022;610:127793. [DOI: 10.1016/j.jhydrol.2022.127793] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Song Z, Zhu P, Yang L, Liu Z, Li H, Zhu W. Study on the radial sectional velocity distribution and wall shear stress associated with carotid artery stenosis. Physics of Fluids 2022;34:051904. [DOI: 10.1063/5.0085796] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Liu X, Aslan S, Kim B, Warburton L, Jackson D, Muhuri A, Subramanian A, Mass P, Cleveland V, Loke YH, Hibino N, Olivieri L, Krieger A. Computational Fontan Analysis: Preserving Accuracy While Expediting Workflow. World J Pediatr Congenit Heart Surg 2022;13:293-301. [PMID: 35446218 DOI: 10.1177/21501351211073619] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
4 Isoda H, Fukuyama A. Quality Control for 4D Flow MR Imaging. Magn Reson Med Sci 2022. [PMID: 35197395 DOI: 10.2463/mrms.rev.2021-0165] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Maupu C, Lebas H, Boulaftali Y. Imaging Modalities for Intracranial Aneurysm: More Than Meets the Eye. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.793072] [Reference Citation Analysis]
6 Pravdivtseva MS, Gaidzik F, Berg P, Ulloa P, Larsen N, Jansen O, Hövener J, Salehi Ravesh M. Influence of Spatial Resolution and Compressed SENSE Acceleration Factor on Flow Quantification with 4D Flow MRI at 3 Tesla. Tomography 2022;8:457-78. [DOI: 10.3390/tomography8010038] [Reference Citation Analysis]
7 Kim B, Nguyen P, Loke Y, Cleveland V, Liu X, Mass P, Hibino N, Olivieri L, Krieger A. CorFix: Virtual Reality Cardiac Surgical Planning Software for Designing Patient-Specific Vascular Grafts: Development and Pilot Usability Study (Preprint). JMIR Cardio. [DOI: 10.2196/35488] [Reference Citation Analysis]
8 Kim B, Nguyen P, Loke Y, Cleveland V, Liu X, Mass P, Hibino N, Olivieri L, Krieger A. Virtual Reality Cardiac Surgical Planning Software (CorFix) for Designing Patient-Specific Vascular Grafts: Development and Pilot Usability Study (Preprint).. [DOI: 10.2196/preprints.35488] [Reference Citation Analysis]
9 Liu X, Aslan S, Kim B, Warburton L, Jackson D, Muhuri A, Subramanian A, Mass P, Cleveland V, Loke Y, Hibino N, Olivieri L, Krieger A. Computational Fontan Analysis: Preserving accuracy while expediting workflow.. [DOI: 10.1101/2021.10.28.466272] [Reference Citation Analysis]
10 Habibi M, D'Souza RM, Dawson STM, Arzani A. Integrating multi-fidelity blood flow data with reduced-order data assimilation. Comput Biol Med 2021;135:104566. [PMID: 34157468 DOI: 10.1016/j.compbiomed.2021.104566] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 12.0] [Reference Citation Analysis]
11 Corrado PA, Medero R, Johnson KM, François CJ, Roldán-Alzate A, Wieben O. A phantom study comparing radial trajectories for accelerated cardiac 4D flow MRI against a particle imaging velocimetry reference. Magn Reson Med 2021;86:363-71. [PMID: 33547658 DOI: 10.1002/mrm.28698] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
12 Schiavone NK, Elkins CJ, McElhinney DB, Eaton JK, Marsden AL. In Vitro Assessment of Right Ventricular Outflow Tract Anatomy and Valve Orientation Effects on Bioprosthetic Pulmonary Valve Hemodynamics. Cardiovasc Eng Technol 2021;12:215-31. [PMID: 33452649 DOI: 10.1007/s13239-020-00507-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
13 Medero R, Ruedinger K, Rutkowski D, Johnson K, Roldán-Alzate A. In Vitro Assessment of Flow Variability in an Intracranial Aneurysm Model Using 4D Flow MRI and Tomographic PIV. Ann Biomed Eng 2020;48:2484-93. [PMID: 32524379 DOI: 10.1007/s10439-020-02543-8] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 8.0] [Reference Citation Analysis]
14 Rutkowski D, Medero R, Ruesink T, Roldan-Alzate A. Modeling Physiological Flow Variation in Fontan Models with 4d Flow Mri, Particle Image Velocimetry, and Arterial Spin Labeling. J Biomech Eng 2019. [PMID: 31596919 DOI: 10.1115/1.4045110] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
15 Sciacchitano A. Uncertainty quantification in particle image velocimetry. Meas Sci Technol 2019;30:092001. [DOI: 10.1088/1361-6501/ab1db8] [Cited by in Crossref: 76] [Cited by in F6Publishing: 78] [Article Influence: 25.3] [Reference Citation Analysis]