| Towards enabling a cardiovascular digital twin for human systemic circulation using inverse analysis NK Chakshu, I Sazonov, P Nithiarasu Biomechanics and modeling in mechanobiology 20 (2), 449-465, 2021 | 86 | 2021 |
| 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 |
| Data-driven inverse modelling through neural network (deep learning) and computational heat transfer HR Tamaddon-Jahromi, NK Chakshu, I Sazonov, LM Evans, H Thomas, ... Computer Methods in Applied Mechanics and Engineering 369, 113217, 2020 | 59 | 2020 |
| 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 |
| Deep learning or interpolation for inverse modelling of heat and fluid flow problems? R Löhner, H Antil, H Tamaddon-Jahromi, NK Chakshu, P Nithiarasu International Journal of Numerical Methods for Heat & Fluid Flow 31 (9 …, 2021 | 15 | 2021 |
| An AI based digital-twin for prioritising pneumonia patient treatment NK Chakshu, P Nithiarasu Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2022 | 11 | 2022 |
| Predicting the airborne microbial transmission via human breath particles using a gated recurrent units neural network HR Tamaddon Jahromi, I Sazonov, J Jones, A Coccarelli, S Rolland, ... International Journal of Numerical Methods for Heat & Fluid Flow 32 (9 …, 2022 | 3 | 2022 |
| 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 |
| Natural frequencies of pre-twisted airfoil blades NK Chakshu, SK Sinha Gas Turbine India Conference 58516, V002T05A019, 2017 | 3 | 2017 |
| Orbital learning: a novel, actively orchestrated decentralised learning for healthcare NK Chakshu, P Nithiarasu Scientific Reports 14 (1), 10459, 2024 | | 2024 |
| Digital twin of cardiovascular systems N Chakshu | | 2021 |
| DEEP LEARNING IN HEAT TRANSFER HR Tamaddon-Jahromi, NK Chakshu, H Thomas, P Nithiarasu Annual Review of Heat Transfer 24, 2021 | | 2021 |
| Deep Neural Network for solving forward and inverse problems in heat transfer NK Chakshu, HR Tamaddon-Jahromi, P Nithiarasu Proceedings of the 26thNational and 4th International ISHMT-ASTFE Heat and …, 2021 | | 2021 |
| DEEP LEARNING IN HEAT TRANSFER NK Chakshu, T Hywel, P Nithiarasu Annual Review of Heat Transfer, 0 | | |
| AI approaches to predict coronary stenosis severity using non-invasive fractional flow reserve prediction JM Carson, NK Chakshu, I Sazonov, P Nithiarasu | | |
