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

por Diaz-Zuccarini, Vanessa, Bonfanti, Mirko, Franzetti, Gaia, Balabani, Stavroula
Publicado 2018

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

por Bonfanti, Mirko, Franzetti, Gaia, Homer-Vanniasinkam, Shervanthi, Díaz-Zuccarini, Vanessa, Balabani, Stavroula
Publicado 2020

Experimental evaluation of the patient-specific haemodynamics of an aortic dissection model using particle image velocimetry

por Franzetti, Gaia, Bonfanti, Mirko, Homer-Vanniasinkam, Shervanthi, Diaz-Zuccarini, Vanessa, Balabani, Stavroula
Publicado 2022

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

por Bonfanti, Mirko, Balabani, Stavroula, Greenwood, John P., Puppala, Sapna, Homer-Vanniasinkam, Shervanthi, Díaz-Zuccarini, Vanessa
Publicado 2017

A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics

por Stokes, Catriona, Bonfanti, Mirko, Li, Zeyan, Xiong, Jiang, Chen, Duanduan, Balabani, Stavroula, Díaz-Zuccarini, Vanessa
Publicado 2021

A Computational Framework for Pre-Interventional Planning of Peripheral Arteriovenous Malformations

por Franzetti, Gaia, Bonfanti, Mirko, Tanade, Cyrus, Lim, Chung Sim, Tsui, Janice, Hamilton, George, Díaz-Zuccarini, Vanessa, Balabani, Stavroula
Publicado 2021