Diaz-Zuccarini V - Search Results

1

Virtual TEVAR: Overcoming the Roadblocks of In-Silico Tools for Aortic Dissection Treatment.

Diaz-Zuccarini V, Bonfanti M, Franzetti G, Balabani S. Diaz-Zuccarini V, et al. Theranostics. 2018 Dec 7;8(22):6384-6385. doi: 10.7150/thno.30753. eCollection 2018. Theranostics. 2018. PMID: 30613306 Free PMC article.

2

Development of a patient-specific simulation tool to analyse aortic dissections: assessment of mixed patient-specific flow and pressure boundary conditions.

Alimohammadi M, Agu O, Balabani S, Díaz-Zuccarini V. Alimohammadi M, et al. Med Eng Phys. 2014 Mar;36(3):275-84. doi: 10.1016/j.medengphy.2013.11.003. Epub 2013 Nov 26. Med Eng Phys. 2014. PMID: 24290844

3

Evaluation of the hemodynamic effectiveness of aortic dissection treatments via virtual stenting.

Alimohammadi M, Bhattacharya-Ghosh B, Seshadhri S, Penrose J, Agu O, Balabani S, Díaz-Zuccarini V. Alimohammadi M, et al. Int J Artif Organs. 2014 Oct;37(10):753-62. doi: 10.5301/ijao.5000310. Epub 2014 Apr 4. Int J Artif Organs. 2014. PMID: 24811307

4

Aortic dissection simulation models for clinical support: fluid-structure interaction vs. rigid wall models.

Alimohammadi M, Sherwood JM, Karimpour M, Agu O, Balabani S, Díaz-Zuccarini V. Alimohammadi M, et al. Biomed Eng Online. 2015 Apr 15;14:34. doi: 10.1186/s12938-015-0032-6. Biomed Eng Online. 2015. PMID: 25881252 Free PMC article.

5

Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data.

Bonfanti M, Balabani S, Greenwood JP, Puppala S, Homer-Vanniasinkam S, Díaz-Zuccarini V. Bonfanti M, et al. J R Soc Interface. 2017 Nov;14(136):20170632. doi: 10.1098/rsif.2017.0632. J R Soc Interface. 2017. PMID: 29118115 Free PMC article.

6

A simplified method to account for wall motion in patient-specific blood flow simulations of aortic dissection: Comparison with fluid-structure interaction.

Bonfanti M, Balabani S, Alimohammadi M, Agu O, Homer-Vanniasinkam S, Díaz-Zuccarini V. Bonfanti M, et al. Med Eng Phys. 2018 May 11:S1350-4533(18)30074-2. doi: 10.1016/j.medengphy.2018.04.014. Online ahead of print. Med Eng Phys. 2018. PMID: 29759947

7

Patient-specific haemodynamic simulations of complex aortic dissections informed by commonly available clinical datasets.

Bonfanti M, Franzetti G, Maritati G, Homer-Vanniasinkam S, Balabani S, Díaz-Zuccarini V. Bonfanti M, et al. Med Eng Phys. 2019 Sep;71:45-55. doi: 10.1016/j.medengphy.2019.06.012. Epub 2019 Jun 27. Med Eng Phys. 2019. PMID: 31257054

8

An in silico study of the influence of vessel wall deformation on neointimal hyperplasia progression in peripheral bypass grafts.

Donadoni F, Bonfanti M, Pichardo-Almarza C, Homer-Vanniasinkam S, Dardik A, Díaz-Zuccarini V. Donadoni F, et al. Med Eng Phys. 2019 Dec;74:137-145. doi: 10.1016/j.medengphy.2019.09.011. Epub 2019 Sep 18. Med Eng Phys. 2019. PMID: 31540730

9

Highly integrated workflows for exploring cardiovascular conditions: Exemplars of precision medicine in Alzheimer's disease and aortic dissection.

Vardakis JC, Bonfanti M, Franzetti G, Guo L, Lassila T, Mitolo M, Hoz de Vila M, Greenwood JP, Maritati G, Chou D, Taylor ZA, Venneri A, Homer-Vanniasinkam S, Balabani S, Frangi AF, Ventikos Y, Diaz-Zuccarini V. Vardakis JC, et al. Morphologie. 2019 Dec;103(343):148-160. doi: 10.1016/j.morpho.2019.10.045. Epub 2019 Nov 27. Morphologie. 2019. PMID: 31786098 Free article.

10

A Combined In Vivo, In Vitro, In Silico Approach for Patient-Specific Haemodynamic Studies of Aortic Dissection.

Bonfanti M, Franzetti G, Homer-Vanniasinkam S, Díaz-Zuccarini V, Balabani S. Bonfanti M, et al. Ann Biomed Eng. 2020 Dec;48(12):2950-2964. doi: 10.1007/s10439-020-02603-z. Epub 2020 Sep 14. Ann Biomed Eng. 2020. PMID: 32929558 Free PMC article.

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