| 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 | 65 | 2019 |
| 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 | 48 | 2019 |
| 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 | 43 | 2017 |
| An implicit solver for 1D arterial network models J Carson, R Van Loon International journal for numerical methods in biomedical engineering 33 (7 …, 2017 | 43 | 2017 |
| 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 | 29 | 2018 |
| 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 | 25 | 2019 |
| 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 | 24 | 2019 |
| 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 | 19 | 2021 |
| 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 | 18 | 2020 |
| 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 | 17 | 2021 |
| Development of a cardiovascular and lymphatic network model during human pregnancy JM Carson Swansea University, 2019 | 11 | 2019 |
| 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 | 3 | 2022 |
| Mathematical Techniques for Circulatory Systems J Carson, R Loon, P Nithiarasu Elsevier, 2018 | 3 | 2018 |
| 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 | | 2023 |
| 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 | | |
| Development of a maternal cardiovascular network model over the course of pregnancy J Carson, M Lewis, R Van Loon | | |
