3 papers
cs.LG2021
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
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
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…