Dr Mihaela Paun
- Research Associate (Statistics)
email:
Mihaela.Paun@glasgow.ac.uk
132 University Place, Glasgow, Glasgow City, Scotland, United Kingdom, G12 8TA
Publications
2024
Kimpton, L. M., Paun, L. M., Colebank, M. J. and Volodina, V. (2024) Challenges and opportunities in uncertainty quantification for healthcare and biological systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, (Accepted for Publication)
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)
Taylor-LaPole, A. M., Paun, L. M., Lior, D., Weigand, J. D., Puelz, C. and Olufsen, M. S. (2024) Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients. Journal of The Royal Society Interface, (Accepted for Publication)
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
Kimpton, L. M., Paun, L. M., Colebank, M. J. and Volodina, V. (2024) Challenges and opportunities in uncertainty quantification for healthcare and biological systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, (Accepted for Publication)
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)
Taylor-LaPole, A. M., Paun, L. M., Lior, D., Weigand, J. D., Puelz, C. and Olufsen, M. S. (2024) Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients. Journal of The Royal Society Interface, (Accepted for Publication)
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)