Díaz-Zuccarini V - Search Results

1

Patient-Specific Haemodynamic Analysis of Virtual Grafting Strategies in Type-B Aortic Dissection: Impact of Compliance Mismatch.

Girardin L, Stokes C, Thet MS, Oo AY, Balabani S, Díaz-Zuccarini V. Girardin L, et al. Among authors: diaz zuccarini v. Cardiovasc Eng Technol. 2024 Jun;15(3):290-304. doi: 10.1007/s13239-024-00713-6. Epub 2024 Mar 4. Cardiovasc Eng Technol. 2024. PMID: 38438692 Free PMC article.

2

Bridging paradigms: hybrid mechanistic-discriminative predictive models.

Doyle OM, Tsaneva-Atansaova K, Harte J, Tiffin PA, Tino P, Díaz-Zuccarini V. Doyle OM, et al. IEEE Trans Biomed Eng. 2013 Mar;60(3):735-42. doi: 10.1109/TBME.2013.2244598. Epub 2013 Feb 4. IEEE Trans Biomed Eng. 2013. PMID: 23392334 Review.

3

Understanding the Effect of Statins and Patient Adherence in Atherosclerosis via a Quantitative Systems Pharmacology Model Using a Novel, Hybrid, and Multi-Scale Approach.

Pichardo-Almarza C, Diaz-Zuccarini V. Pichardo-Almarza C, et al. Front Pharmacol. 2017 Sep 13;8:635. doi: 10.3389/fphar.2017.00635. eCollection 2017. Front Pharmacol. 2017. PMID: 28955237 Free PMC article.

4

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

5

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

6

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.

7

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.

8

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

9

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.

10

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

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