2024

Paun, L. M., Colebank, M. J. and Husmeier, D. (2024) A comparison of Gaussian processes and polynomial chaos emulators in the context of haemodynamic pulse-wave propagation modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, (Accepted for Publication)

Paun, L. M. et al. (2024) SECRET: Statistical Emulation for Computational Reverse Engineering and Translation with applications in healthcare. Computer Methods in Applied Mechanics and Engineering, 430, 117193. (doi: 10.1016/j.cma.2024.117193)

Paun, M., Fensterseifer Schmidt, A., Mcginty, S. and Husmeier, D. (2024) Constrained Bayesian optimization with a cardiovascular application. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480(2295), 20230371. (doi: 10.1098/rspa.2023.0371)

2022

Paun, L. M., Schmidt, A. F., Mcginty, S. and Husmeier, D. (2022) Statistical Inference for Optimisation of Drug Delivery from Stents. In: Proceedings of the 4th International Conference on Statistics: Theory and Applications (ICSTA 22), Prague, Czech Republic, 28-30 July 2022, ISBN 9781990800085 (doi: 10.11159/icsta22.138)

Paun, L. M. and Husmeier, D. (2022) Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models. Statistics and Computing, 32(1), 1. (doi: 10.1007/s11222-021-10060-4)

2021

Paun, L. M., Borowska, A. , Colebank, M. J., Olufsen, M. S. and Husmeier, D. (2021) Inference in Cardiovascular Modelling Subject to Medical Interventions. In: 3rd International Conference on Statistics: Theory and Applications (ICSTA'21), 29-31 Jul 2021, p. 109. ISBN 9781927877913 (doi: 10.11159/icsta21.109)

Paun, L. M. and Husmeier, D. (2021) Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid‐dynamics model of the pulmonary circulation. International Journal for Numerical Methods in Biomedical Engineering, 37(2), e3421. (doi: 10.1002/cnm.3421) (PMID:33249755) (PMCID:PMC7901000)

2020

Paun, L. M., Colebank, M. J., Olufsen, M. S., Hill, N. A. and Husmeier, D. (2020) Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation. Journal of the Royal Society: Interface, 17(173), 20200886. (doi: 10.1098/rsif.2020.0886) (PMID:33353505)

Husmeier, D. and Paun, L. M. (2020) Closed-loop effects in cardiovascular clinical decision support. In: Ladde, G. and Samia, N. (eds.) Proceedings of the 2nd International Conference on Statistics: Theory and Applications (ICSTA'20). Avestia Publishing: Ottawa, Canada, p. 128. ISBN 9781927877685 (doi: 10.11159/icsta20.128)

Husmeier, D. and Paun, L. M. (2020) Closed-loop effects in coupling cardiac physiological models to clinical interventions. In: Irigoien, I., Lee, D.-J., Martínez-Minaya, J. and Rodríguez-Álvarez, M. X. (eds.) Proceedings of the 35th International Workshop on Statistical Modelling. Servicio Editorial de la Universidad del País Vasco: Bilbao, Spain, pp. 120-125. ISBN 9788413192673

2019

Colebank, M. J., Paun, L. M., Qureshi, M. U., Chesler, N., Husmeier, D. , Olufsen, M. S. and Ellwein Fix, L. (2019) Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries. Journal of the Royal Society: Interface, 16, 20190284. (doi: 10.1098/rsif.2019.0284)

Umar Qureshi, M., Colebank, M. J., Paun, L. M., Ellwein, L., Chesler, N., Haider, M. A., Hill, N. A. , Husmeier, D. and Olufsen, M. S. (2019) Hemodynamic assessment of pulmonary hypertension in mice: a model based analysis of the disease mechanism. Biomechanics and Modeling in Mechanobiology, 18(1), pp. 219-243. (doi: 10.1007/s10237-018-1078-8) (PMID:30284059)

2018

Păun, L. M., Qureshi, M. U., Colebank, M., Hill, N. A. , Olufsen, M. S., Haider, M. A. and Husmeier, D. (2018) MCMC methods for inference in a mathematical model of pulmonary circulation. Statistica Neerlandica, 72(3), pp. 306-338. (doi: 10.1111/stan.12132)

Articles

Paun, L. M., Colebank, M. J. and Husmeier, D. (2024) A comparison of Gaussian processes and polynomial chaos emulators in the context of haemodynamic pulse-wave propagation modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, (Accepted for Publication)

Paun, L. M. et al. (2024) SECRET: Statistical Emulation for Computational Reverse Engineering and Translation with applications in healthcare. Computer Methods in Applied Mechanics and Engineering, 430, 117193. (doi: 10.1016/j.cma.2024.117193)

Paun, M., Fensterseifer Schmidt, A., Mcginty, S. and Husmeier, D. (2024) Constrained Bayesian optimization with a cardiovascular application. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480(2295), 20230371. (doi: 10.1098/rspa.2023.0371)

Paun, L. M. and Husmeier, D. (2022) Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models. Statistics and Computing, 32(1), 1. (doi: 10.1007/s11222-021-10060-4)

Paun, L. M. and Husmeier, D. (2021) Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid‐dynamics model of the pulmonary circulation. International Journal for Numerical Methods in Biomedical Engineering, 37(2), e3421. (doi: 10.1002/cnm.3421) (PMID:33249755) (PMCID:PMC7901000)

Paun, L. M., Colebank, M. J., Olufsen, M. S., Hill, N. A. and Husmeier, D. (2020) Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation. Journal of the Royal Society: Interface, 17(173), 20200886. (doi: 10.1098/rsif.2020.0886) (PMID:33353505)

Colebank, M. J., Paun, L. M., Qureshi, M. U., Chesler, N., Husmeier, D. , Olufsen, M. S. and Ellwein Fix, L. (2019) Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries. Journal of the Royal Society: Interface, 16, 20190284. (doi: 10.1098/rsif.2019.0284)

Umar Qureshi, M., Colebank, M. J., Paun, L. M., Ellwein, L., Chesler, N., Haider, M. A., Hill, N. A. , Husmeier, D. and Olufsen, M. S. (2019) Hemodynamic assessment of pulmonary hypertension in mice: a model based analysis of the disease mechanism. Biomechanics and Modeling in Mechanobiology, 18(1), pp. 219-243. (doi: 10.1007/s10237-018-1078-8) (PMID:30284059)

Păun, L. M., Qureshi, M. U., Colebank, M., Hill, N. A. , Olufsen, M. S., Haider, M. A. and Husmeier, D. (2018) MCMC methods for inference in a mathematical model of pulmonary circulation. Statistica Neerlandica, 72(3), pp. 306-338. (doi: 10.1111/stan.12132)

Book Sections

Husmeier, D. and Paun, L. M. (2020) Closed-loop effects in cardiovascular clinical decision support. In: Ladde, G. and Samia, N. (eds.) Proceedings of the 2nd International Conference on Statistics: Theory and Applications (ICSTA'20). Avestia Publishing: Ottawa, Canada, p. 128. ISBN 9781927877685 (doi: 10.11159/icsta20.128)

Husmeier, D. and Paun, L. M. (2020) Closed-loop effects in coupling cardiac physiological models to clinical interventions. In: Irigoien, I., Lee, D.-J., Martínez-Minaya, J. and Rodríguez-Álvarez, M. X. (eds.) Proceedings of the 35th International Workshop on Statistical Modelling. Servicio Editorial de la Universidad del País Vasco: Bilbao, Spain, pp. 120-125. ISBN 9788413192673

Conference Proceedings

Paun, L. M., Schmidt, A. F., Mcginty, S. and Husmeier, D. (2022) Statistical Inference for Optimisation of Drug Delivery from Stents. In: Proceedings of the 4th International Conference on Statistics: Theory and Applications (ICSTA 22), Prague, Czech Republic, 28-30 July 2022, ISBN 9781990800085 (doi: 10.11159/icsta22.138)

Paun, L. M., Borowska, A. , Colebank, M. J., Olufsen, M. S. and Husmeier, D. (2021) Inference in Cardiovascular Modelling Subject to Medical Interventions. In: 3rd International Conference on Statistics: Theory and Applications (ICSTA'21), 29-31 Jul 2021, p. 109. ISBN 9781927877913 (doi: 10.11159/icsta21.109)