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Radomir Chabiniok

Researcher at King's College London

Publications -  62
Citations -  1378

Radomir Chabiniok is an academic researcher from King's College London. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 18, co-authored 55 publications receiving 1139 citations. Previous affiliations of Radomir Chabiniok include French Institute for Research in Computer Science and Automation & Université Paris-Saclay.

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Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation

TL;DR: How the personalisation of an electromechanical model of the myocardium can predict the acute haemodynamic changes associated with CRT is presented, demonstrating the potential of physiological models personalised from images and electrophysiology signals to improve patient selection and plan CRT.
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Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model.

TL;DR: An estimation procedure—based on data assimilation principles—well suited to obtain some regional values of key biophysical parameters in a beating heart model, using actual Cine-MR images is proposed and assessed.
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A computationally efficient framework for the simulation of cardiac perfusion using a multi-compartment Darcy porous-media flow model

TL;DR: A method to efficiently simulate coronary perfusion in subject-specific models of the heart within clinically relevant time frames by reducing the N-compartment system of Darcy equations to N pressure equations, and N subsequent projection problems to recover the Darcy velocity.
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A novel porous mechanical framework for modelling the interaction between coronary perfusion and myocardial mechanics

TL;DR: A finite element formulation of an incompressible, poroelastic model of myocardial perfusion is presented and results are presented for the perfusion of the left ventricle under passive inflation that show wall-stiffening associated with perfusion, and that show the significance of a non-hierarchical multi-compartment model within a particular perfusion territory.