Browse by Research Project Code

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0

Barry, R. G., Hill, N. A. and Stewart, P. S. (2022) Continuum soft tissue models from upscaling of arrays of hyperelastic cells. Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 478(2266), 20220065. (doi: 10.1098/rspa.2022.0065)

Aziz, M. H.N. and Simitev, R. D. (2022) Estimation of parameters for an archetypal model of cardiomyocyte membrane potentials. International Journal of Bioautomation, 26(3), pp. 255-272. (doi: 10.7546/ijba.2022.26.3.000832)

Lazarus, A., Gao, H. , Luo, X. and Husmeier, D. (2022) Improving cardio-mechanic inference by combining in vivo strain data with ex vivo volume–pressure data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 71(4), pp. 906-931. (doi: 10.1111/rssc.12560)

Guan, D., Gao, H. , Cai, L. and Luo, X. (2022) A new active contraction model for the myocardium using a modified Hill model. Computers in Biology and Medicine, 145, 105417. (doi: 10.1016/j.compbiomed.2022.105417)

Borowska, A. and King, R. (2022) Semi-complete data augmentation for efficient state space model fitting. Journal of Computational and Graphical Statistics, (doi: 10.1080/10618600.2022.2077350) (Early Online Publication)

Zhuan, X. and Luo, X.Y. (2022) Volumetric growth of soft tissues evaluated in the current configuration. Biomechanics and Modeling in Mechanobiology, 21(2), pp. 569-588. (doi: 10.1007/s10237-021-01549-y) (PMID:35044527)

Herrada, M.A., Blanco-Trejo, S., Eggers, J. and Stewart, P.S. (2022) Global stability analysis of flexible channel flow with a hyperelastic wall. Journal of Fluid Mechanics, 934, A28. (doi: 10.1017/jfm.2021.1131)

Liu, L., Charlton, L., Song, Y. , Li, T., Li, X., Yin, H. and He, T. (2022) Scaling resistance by fluoro-treatments: the importance of wetting states. Journal of Materials Chemistry A, 10(6), pp. 3058-3068. (doi: 10.1039/D1TA07695G)

Huethorst, E. , Mortensen, P., Simitev, R. D. , Gao, H. , Pohjolainen, L., Talman, V., Ruskoaho, H., Burton, F. L., Gadegaard, N. and Smith, G. L. (2022) Conventional rigid 2D substrates cause complex contractile signals in monolayers of human induced pluripotent stem cell derived cardiomyocytes. Journal of Physiology, 600(3), pp. 483-507. (doi: 10.1113/JP282228) (PMID:34761809) (PMCID:PMC9299844)

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)

Lachaud, Q., Aziz, M. H. N., Burton, F. L., MacQuaide, N. , Myles, R. C. , Simitev, R. D. and Smith, G. L. (2022) Electrophysiological heterogeneity in large populations of rabbit ventricular cardiomyocytes. Cardiovascular Research, (doi: 10.1093/cvr/cvab375) (PMID:35020837) (Early Online Publication)

Eliaš, J. and Macnamara, C. K. (2021) Mathematical modelling of p53 signalling during DNA damage response: a survey. International Journal of Molecular Sciences, 22(19), 10590. (doi: 10.3390/ijms221910590)

Wang, D.Y., Luo, X.Y. and Stewart, P.S. (2021) Energetics of collapsible channel flow with a nonlinear fluid-beam model. Journal of Fluid Mechanics, 926, A2. (doi: 10.1017/jfm.2021.642)

Romaszko, L., Borowska, A. , Lazarus, A., Dalton, D., Berry, C. , Luo, X. , Husmeier, D. and Gao, H. (2021) Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics. Artificial Intelligence In Medicine, 119, 102140. (doi: 10.1016/j.artmed.2021.102140)

Wei, D., Charlton, L., Glidle, A., Qi, N., Dobson, P. S. , Dalby, M. J. , Fan, H. and Yin, H. (2021) Dynamically modulated core-shell microfibers to study the effect of depth sensing of matrix stiffness on stem cell fate. ACS Applied Materials and Interfaces, 13(32), pp. 37997-38006. (doi: 10.1021/acsami.1c06752) (PMID:34355561)

Feng, L., Gao, H. , Qi, N., Danton, M., Hill, N. A. and Luo, X. (2021) Fluid-structure interaction in a fully coupled three-dimensional mitral-atrium-pulmonary model. Biomechanics and Modeling in Mechanobiology, 20(4), pp. 1267-1295. (doi: 10.1007/s10237-021-01444-6) (PMID:33770307) (PMCID:PMC8298265)

Huang, R., Ogden, R. and Penta, R. (2021) Mathematical modelling of residual-stress based volumetric growth in soft matter. Journal of Elasticity, 145(1-2), pp. 223-241. (doi: 10.1007/s10659-021-09834-8)

Guan, D., Luo, X. and Gao, H. (2021) Constitutive modelling of soft biological tissue from ex vivo to in vivo: myocardium as an example. In: Suzuki, T., Poignard, C., Chaplain, M. and Quaranta, V. (eds.) Methods of Mathematical Oncology: Fusion of Mathematics and Biology, Osaka, Japan, October 26–28, 2020. Series: Springer proceedings in mathematics and statistics (370). Springer: Singapore, pp. 3-14. ISBN 9789811648656 (doi: 10.1007/978-981-16-4866-3_1)

Wang, D., Luo, X. and Stewart, P. S. (2021) Multiple steady and oscillatory solutions in a collapsible channel flow. International Journal of Applied Mechanics, 13(6), 2150058. (doi: 10.1142/S1758825121500587)

Cai, L., Zhang, R., Li, Y., Zhu, G., Ma, X., Wang, Y., Luo, X. and Gao, H. (2021) The comparison of different constitutive laws and fiber architectures for the aortic valve on fluid-structure interaction simulation. Frontiers in Physiology, 12, 682893. (doi: 10.3389/fphys.2021.682893)

Guan, D., Zhuan, X., Holmes, W. , Luo, X. and Gao, H. (2021) Modelling of fibre dispersion and its effects on cardiac mechanics from diastole to systole. Journal of Engineering Mathematics, 128, 1. (doi: 10.1007/s10665-021-10102-w)

Macnamara, C. (2021) Biomechanical modelling of cancer: Agent‐based force‐based models of solid tumours within the context of the tumour microenvironment. Computational and Systems Oncology, 1(2), e1018. (doi: 10.1002/cso2.1018)

Aziz, M. H.N. and Simitev, R. D. (2021) Code for Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials. [Artefact]

Heath Richardson, S. I., Gao, H. , Cox, J., Janiczek, R., Griffith, B. E., Berry, C. and Luo, X. (2021) A poroelastic immersed finite element framework for modeling cardiac perfusion and fluid-structure interaction. International Journal for Numerical Methods in Biomedical Engineering, 37(5), e3446. (doi: 10.1002/cnm.3446) (PMID:33559359) (PMCID:PMC8274593)

Spennati, G., Horowitz, L. F., McGarry, D. J., Rudzka, D. A., Armstrong, G., Olson, M. F., Folch, A. and Yin, H. (2021) Organotypic platform for studying cancer cell metastasis. Experimental Cell Research, 401(2), 112527. (doi: 10.1016/j.yexcr.2021.112527) (PMID:33675807)

Borowska, A. , Giurghita, D. and Husmeier, D. (2021) Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis. Journal of Computational Physics, 429, 109999. (doi: 10.1016/j.jcp.2020.109999)

Wang, Y., Cai, L., Feng, X., Luo, X. and Gao, H. (2021) A ghost structure finite difference method for a fractional FitzHugh-Nagumo monodomain model on moving irregular domain. Journal of Computational Physics, 428, 110081. (doi: 10.1016/j.jcp.2020.110081)

Mortensen, P., Gao, H. , Smith, G. and Simitev, R. D. (2021) Action potential propagation and block in a model of atrial tissue with myocyte-fibroblast coupling. Mathematical Medicine and Biology, 38(1), pp. 106-131. (doi: 10.1093/imammb/dqaa014) (PMID:33412587)

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)

Li, W., Gao, H. , Mangion, K., Berry, C. and Luo, X. (2021) Apparent growth tensor of left ventricular post myocardial infarction – in human first natural history study. Computers in Biology and Medicine, 129, 104168. (doi: 10.1016/j.compbiomed.2020.104168) (PMID:33341555)

Cai, L., Ren, L., Wang, Y., Xie, W., Zhi, G. and Gao, H. (2021) Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium. Royal Society Open Science, 8(1), 201121. (doi: 10.1098/rsos.201121)

Mortensen, P., Gao, H. , Smith, G. and Simitev, R. D. (2021) Addendum: Action potential propagation and block in a model of atrial tissue with myocyte-fibroblast coupling. Mathematical Medicine and Biology, 38(3), pp. 292-298. (doi: 10.1093/imammb/dqab005) (PMID:33959762)

Da Silva Costa, A. , Mortensen, P., Hortigon-Vinagre, M. P., van der Heyden, M. A. G., Burton, F. L., Gao, H. , Simitev, R. D. and Smith, G. L. (2021) Electrophysiology of hiPSC-cardiomyocytes co-cultured with HEK cells expressing the inward rectifier channel. International Journal of Molecular Sciences, 22(12), 6621. (doi: 10.3390/ijms22126621)

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)

Chen, S., Ratna Sari, C., Gao, H. , Lei, Y., Segers, P. and De Beule, M. (2020) Mechanical and morphometric study of mitral valve chordae tendineae and related papillary muscle. Journal of the Mechanical Behavior of Biomedical Materials, 111, 104011. (doi: 10.1016/j.jmbbm.2020.104011)

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)

Zhuan, X. and Luo, X. (2020) Residual stress estimates from multi-cut opening angles of the left ventricle. Cardiovascular Engineering and Technology, 11(4), pp. 381-393. (doi: 10.1007/s13239-020-00467-x) (PMID:32557186)

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

Li, W. et al. (2020) Analysis of cardiac amyloidosis progression using model-based markers. Frontiers in Physiology, 11, 324. (doi: 10.3389/fphys.2020.00324) (PMID:32425806) (PMCID:PMC7203577)

Holzapfel, G. and Ogden, R. (2020) A damage model for collagen fibres with an application to collagenous soft tissues. Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 476, 20190821. (doi: 10.1098/rspa.2019.0821)

Guan, D., Yao, J., Luo, X. and Gao, H. (2020) Effect of myofibre architecture on ventricular pump function by using a neonatal porcine heart model: from DT-MRI to rule-based methods. Royal Society Open Science, 7(4), 191655. (doi: 10.1098/rsos.191655)

Spelman, T.A. and Stewart, P.S. (2020) Shock wave propagation along the central retinal blood vessels. Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 476(2234), 20190269. (doi: 10.1098/rspa.2019.0269) (PMID:32201473)

Sherifova, S., Sommer, G., Viertler, C., Regitnig, P., Caranasos, T., Smith, M. A., Griffith, B. E., Ogden, R. W. and Holzapfel, G. A. (2019) Failure properties and microstructure of healthy and aneurysmatic human thoracic aortas subjected to uniaxial extension with a focus on the media. Acta Biomaterialia, 99, pp. 443-456. (doi: 10.1016/j.actbio.2019.08.038) (PMID:31465883) (PMCID:PMC6851440)

Guan, D., Yao, J., Luo, X. and Gao, H. (2019) Effects of Myofibre Architecture on Biventricular Biomechanics: a Simulation Study. In: 6th International Conference on Computational and Mathematical Biomedical Engineering (CMBE 2019), Sendai City, Japan, 10-12 Jun 2019, pp. 248-251. ISBN 9780956291455

Szymańska, Z., Cytowski, M., Mitchell, E., Macnamara, C. K. and Chaplain, M. A.J. (2018) Computational modelling of cancer development and growth: Modelling at multiple scales and multiscale modelling. Bulletin of Mathematical Biology, 80, pp. 1366-1403. (doi: 10.1007/s11538-017-0292-3)

This list was generated on Tue Nov 29 03:17:37 2022 GMT.