Author

G. Franzetti

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

M. Bonfanti· 3 shared S. Balabani· 3 shared V. Diaz-Zuccarini· 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

M. Bonfanti

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3 papers

Recent·Most cited

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

C. Chatpattanasiri, G. Franzetti, M. Bonfanti, V. Diaz-Zuccarini, 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.

bioRxiv · Jan 21, 2023Bioengineering

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

G. Franzetti, M. Bonfanti, C. Tanade, C. S. Lim, J. Tsui, G. Hamilton, V. Diaz-Zuccarini, S. Balabani

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

bioRxiv · May 15, 2021Bioengineering

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

M. Bonfanti, G. Franzetti, G. Maritati, S. Homer-Vanniasinkam, S. Balabani, 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.

bioRxiv · Mar 30, 2019Bioengineering