activity
20192021
most citedHierarchical Bayesian myocardial perfusion quantification

23 citations · 31 across the 4 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2021

Haemodynamic analysis using multiphase flow dynamics in tubular lesions

Konstantinos G. Lyras, Jack Lee

Background and Objective: The role of red blood cell dynamics is emphasised in certain cardiovascular diseases, and thus needs to be closely studied. A multiphase model of blood fl…

physics.comp-ph2021★ 8 cited

A finite volume coupled level set and volume of fluid method with a mass conservation step for simulating two-phase flows

Konstantinos G. Lyras, Jack Lee

This paper presents a finite volume method for simulating two-phase flows using a level set approach coupled with volume of fluid method capable of simulating sharp fluid interface…

q-bio.QM2020

A Survey of Pathways for Mechano-Electric Coupling in the Atria

Marta Varela, Adity Roy, Jack Lee

Mechano-electric coupling (MEC) in atrial tissue has received sparse investigation to date, despite the well-known association between chronic atrial dilation and atrial fibrillati…

eess.IV2019

Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI

Cian M. Scannell, Piet van den Bosch, Amedeo Chiribiri +3

The quantification of myocardial perfusion MRI has the potential to provide a fast, automated and user-independent assessment of myocardial ischaemia. However, due to the relativel…

eess.IV2019★ 23 cited

Hierarchical Bayesian myocardial perfusion quantification

Cian M. Scannell, Amedeo Chiribiri, Adriana D. M. Villa +2

Purpose: Tracer-kinetic models can be used for the quantitative assessment of contrast-enhanced MRI data. However, the model-fitting can produce unreliable results due to the limit…