A new paper  Machine learning and reduced order modelling for the simulation of braided stent deployment has been published in the Frontiers in physiology Journal. The paper was written by Beatrice Bisighini ESR 03 as well as by authors from the MeDiTATe project including Marco Evangelos Biancolini, Principal Investigator of the MeDiTATe project, and Stéphane Avril, Research Coordinator of MeDiTATe project.

The paper proposes a reduced order modeling technique to get real-time predictions of flow diverter configuration within a parametric model of cerebral aneurysm trained on high-fidelity simulations. Check out the public database and the MATLAB codes from this article in this github repository.

The full paper is available at this link.