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J Carson
J Carson
UKRI Fellow at HDR-UK, Swansea University
Adresse e-mail validée de Swansea.ac.uk
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Année
A semi‐active human digital twin model for detecting severity of carotid stenoses from head vibration—A coupled computational mechanics and computer vision method
NK Chakshu, J Carson, I Sazonov, P Nithiarasu
International journal for numerical methods in biomedical engineering 35 (5 …, 2019
882019
Non‐invasive coronary CT angiography‐derived fractional flow reserve: a benchmark study comparing the diagnostic performance of four different computational methodologies
JM Carson, S Pant, C Roobottom, R Alcock, P Javier Blanco, ...
International journal for numerical methods in biomedical engineering 35 (10 …, 2019
552019
A novel method for non-invasively detecting the severity and location of aortic aneurysms
I Sazonov, AW Khir, WS Hacham, E Boileau, JM Carson, R van Loon, ...
Biomechanics and modeling in mechanobiology 16, 1225-1242, 2017
452017
An implicit solver for 1D arterial network models
J Carson, R Van Loon
International journal for numerical methods in biomedical engineering 33 (7 …, 2017
452017
Computational instantaneous wave‐free ratio (IFR) for patient‐specific coronary artery stenoses using 1D network models
JM Carson, C Roobottom, R Alcock, P Nithiarasu
International Journal for Numerical Methods in Biomedical Engineering 35 (11 …, 2019
322019
Influence of ageing on human body blood flow and heat transfer: a detailed computational modelling study
A Coccarelli, HM Hasan, J Carson, D Parthimos, P Nithiarasu
International journal for numerical methods in biomedical engineering 34 (10 …, 2018
322018
A data-driven model to study utero-ovarian blood flow physiology during pregnancy
J Carson, M Lewis, D Rassi, R Van Loon
Biomechanics and modeling in mechanobiology 18, 1155-1176, 2019
272019
A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations
A Coccarelli, JM Carson, A Aggarwal, S Pant
Biomechanics and Modeling in Mechanobiology 20, 1231-1249, 2021
242021
Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach
J Carson, L Warrander, E Johnstone, R van Loon
International Journal for Numerical Methods in Biomedical Engineering 37 (11 …, 2021
222021
Artificial intelligence approaches to predict coronary stenosis severity using non-invasive fractional flow reserve
JM Carson, NK Chakshu, I Sazonov, P Nithiarasu
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2020
202020
Development of a cardiovascular and lymphatic network model during human pregnancy
JM Carson
Swansea University, 2019
132019
Automating fractional flow reserve (FFR) calculation from CT scans: A rapid workflow using unsupervised learning and computational fluid dynamics
NK Chakshu, JM Carson, I Sazonov, P Nithiarasu
International Journal for Numerical Methods in Biomedical Engineering 38 (3 …, 2022
62022
Mathematical Techniques for Circulatory Systems
J Carson, R Loon, P Nithiarasu
Elsevier, 2018
42018
Development of non-invasive biomarkers for pre-eclampsia through data-driven cardiovascular network models
C Popp, JM Carson, AB Drysdale, H Arora, ED Johnstone, JE Myers, ...
Scientific Reports 14 (1), 23144, 2024
22024
The effect of prone positioning on maternal haemodynamics and fetal wellbeing in the third trimester–A primary cohort study with a scoping review
L Ormesher, J Catchpole, L Peacock, H Pitt, A Fabian-Hunt, D Hayes, ...
Plos one 18 (10), e0287804, 2023
22023
A personalised computational model of the impact of COVID-19 on lung function under mechanical ventilation
JM Carson, R Van Loon, H Arora
Computers in Biology and Medicine 183, 109177, 2024
2024
DEVELOPMENT OF A 1D CARDIOVASCULAR MODEL DURING PREGNANCY
J Carson, M Lewis, D Rassi, R Van Loon
heart 3 (q4), 3, 0
AI approaches to predict coronary stenosis severity using non-invasive fractional flow reserve prediction
JM Carson, NK Chakshu, I Sazonov, P Nithiarasu
A Fast Implicit Solver for 1D Cardiovascular Network Problems
J Carson, R Van Loon
Non-invasive assessment of fractional flow reserve using reduced-order models
JM Carson, S Pant, C Roobottom, P Nithiarasu, D Rd
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Articles 1–20