Author

V. Diaz-Zuccarini

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

G. Franzetti· 3 shared M. Bonfanti· 3 shared S. Balabani· 3 shared C. Chatpattanasiri· 1 shared C. S. Lim· 1 shared C. Tanade· 1 shared G. Hamilton· 1 shared G. Maritati· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioengineering

G. Franzetti

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3 papers

Recent·Most cited

BioengineeringbioRxivJan 21, 2023

Towards Reduced Order Models via Robust Proper Orthogonal Decomposition to Capture Personalised Aortic Haemodynamics

C. Chatpattanasiri, G. Franzetti, M. Bonfanti…·S. Balabani

This paper uses reduced order models and proper orthogonal decomposition to capture personalized aortic hemodynamics from in vitro data, showing that few modes can represent flow features accurately.

DOI 10.1016/j.jbiomech.2023.111759

imagingstatistical model

𝕏 PostBluesky

BioengineeringbioRxivMay 15, 2021

Effective Computational Framework for Pre-Interventional Planning of Peripheral Arteriovenous Malformations with In Vivo and In Vitro Validation

G. Franzetti, M. Bonfanti, C. Tanade…·S. Balabani

This paper develops a computational framework to simulate AVM haemodynamics and predict embolisation outcomes, validated with clinical and experimental data.

DOI 10.1007/s13239-021-00572-5

imagingexperimental assay

𝕏 PostBluesky

BioengineeringMedical Engineering & PhysicsPeer-reviewedJun 27, 2019

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

M. Bonfanti, G. Franzetti, G. Maritati…·V. Diaz-Zuccarini

This study uses patient-specific CFD models with clinical data to analyze haemodynamics in Type-B aortic dissections, revealing insights into disease state and risk factors.

DOI 10.1016/j.medengphy.2019.06.012

humanimaging

𝕏 PostBluesky