output
20152025
most citedMachine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database

31 citations

5 papers

physics.flu-dyn2025★ 1 cited

Industrialisation of spectral/hp element method for incompressible, transitional flow around Formula 1 geometries

Parv Khurana, Alexandra Liosi, Spencer Sherwin +4

This study applies the high-fidelity spectral/hp element method using the open-source Nektar++ framework to simulate the unsteady, transitional flow around complex 3D geometries re…

cs.LG2021★ 31 cited

Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database

Gareth Jones, Jim Parr, Perumal Nithiarasu +1

This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of arterial…

physics.med-ph2021★ 20 cited

A physiologically realistic virtual patient database for the study of arterial haemodynamics

Gareth Jones, Jim Parr, Perumal Nithiarasu +1

This study creates a physiologically realistic virtual patient database (VPD), representing the human arterial system, for the primary purpose of studying the affects of arterial d…

cs.LG2021★ 1 cited

A proof of concept study for machine learning application to stenosis detection

Gareth Jones, Jim Parr, Perumal Nithiarasu +1

This proof of concept (PoC) assesses the ability of machine learning (ML) classifiers to predict the presence of a stenosis in a three vessel arterial system consisting of the abdo…

physics.flu-dyn2015

Implicit Large Eddy Simulation of a wingtip vortex at

Jean-Eloi W. Lombard, David Moxey, Julien F. A. Hoessler +3

In this article we present recent developments in numerical methods for performing a Large Eddy Simulation (LES) of the formation and evolution of a wingtip vortex. The development…