Dr Hao Gao

Senior Lecturer (Mathematics)

telephone: 01413306531
email: Hao.Gao@glasgow.ac.uk

Room 414, School Of Mathematics&Statistics, University of Glasgow, University Place, G12 8QQ

Biography

I obtained my bachelor and master degrees in theoretical and applied mechanics from Fudan University, and my PhD in computational biomechanics from Brunel University. My personal webpage and my google scholar page.

Research interests

I have been working on mathematical modelling of the arterial wall, heart, mitral valves and their interactions in the field of soft tissue mechanics. In particular modelling of myocardial infarction patients. Recent research extends to applying various machine learning methods to cardiac mechanics. In detail,

Soft tissue mechanics: constitutive modelling of soft tissue (myocardium, mitral valve, arterial wall, etc.), and its calibration from experimental data; constrained-mixture theory-based growth & remodelling in soft tissue;
Personalized cardiac modelling: imaged-derived model construction, model personalization for subject-specific prediction through inference (Bayesian and non-Bayesian), biomechanical biomarker discovery;
Multi-physics modelling: fluid-structure interaction using immersed boundary method with finite element extension, coupling of electro-physiology and soft tissue mechanics and blood flow in human heart, cardiac poroelasticity, electro-mechanics coupling;
Machine-learning based surrogate models: fast parameter inference in real-time, uncertainty quantification and sensitivity analysis;
Cardiac magnetic resonance imaging processing: deformable image registration, AI-based segmentation and reconstruction.

Research groups

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008

Number of items: 109.

2024

Ge, Y., Husmeier, D. , Rabbani, A. and Gao, H. (2024) Advanced statistical inference of myocardial stiffness: A time series Gaussian Process approach of emulating cardiac mechanics for real-time clinical decision support. Computers in Biology and Medicine, (Accepted for Publication)

Dalton, D., Lazarus, A., Gao, H. and Husmeier, D. (2024) Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations. Journal of Machine Learning Research, (Accepted for Publication)

Ma, P., Cai, L., Wang, X., Wang, Y., Luo, X. and Gao, H. (2024) An unconditionally stable scheme for the immersed boundary method with application in cardiac mechanics. Physics of Fluids, (Accepted for Publication)

Richardson, S. H., Mackenzie, J., Thekkethil, N., Feng, L., Lee, J., Berry, C. , Hill, N. , Luo, X. and Gao, H. (2024) Cardiac perfusion coupled with a structured coronary network tree. Computer Methods in Applied Mechanics and Engineering, 428, 117083. (doi: 10.1016/j.cma.2024.117083)

Cai, L., Zhong, Q., Xu, J., Huang, Y. and Gao, H. (2024) A lumped parameter model for evaluating coronary artery blood supply capacity. Mathematical Biosciences and Engineering, 21(4), pp. 5838-5862. (doi: 10.3934/mbe.2024258) (PMID:38872561)

Dalton, D., Husmeier, D. and Gao, H. (2024) Physics and Lie Symmetry Informed Gaussian Processes. In: 41st International Conference on Machine Learning, Vienna, Austria, 21-27 Jul 2024, (Accepted for Publication)

Yang, Y., Husmeier, D. , Gao, H. , Berry, C. , Carrick, D. and Radjenovic, A. (2024) Automatic detection of myocardial ischaemia using generalisable spatio-temporal hierarchical Bayesian modelling of DCE-MRI. Computerized Medical Imaging and Graphics, 113, 102333. (doi: 10.1016/j.compmedimag.2024.102333) (PMID:38281420)

Guan, D., Tian, L., Li, W. and Gao, H. (2024) Using LDDMM and a kinematic cardiac growth model to quantify growth and remodelling in rat hearts under PAH. Computers in Biology and Medicine, 171, 108218. (doi: 10.1016/j.compbiomed.2024.108218)

Feng, L., Gao, H. and Luo, X. (2024) Whole-heart modelling with valves in a fluid–structure interaction framework. Computer Methods in Applied Mechanics and Engineering, 420, 116724. (doi: 10.1016/j.cma.2023.116724)

2023

Zhou, J., Husmeier, D. , Gao, H. , Yin, C., Qiu, C., Jing, X., Qi, Y. and Liu, W. (2023) Bayesian inversion of frequency-domain airborne EM data with spatial correlation prior information. IEEE Transactions on Geoscience and Remote Sensing, 62, 2000816. (doi: 10.1109/TGRS.2023.3344946)

Dalton, D., Husmeier, D. and Gao, H. (2023) Physics-informed graph neural network emulation of soft-tissue mechanics computer methods in applied mechanics and engineering. Computer Methods in Applied Mechanics and Engineering, 417(A), 116351. (doi: 10.1016/j.cma.2023.116351)

Ge, Y., Husmeier, D. , Lazarus, A., Rabbani, A. and Gao, H. (2023) Bayesian inference of cardiac models emulated with a time series Gaussian process. In: Proceedings of the 5th International Conference on Statistics: Theory and Applications. International Aset Inc., p. 149. ISBN 9781990800252 (doi: 10.11159/icsta23.149)

Guan, D., Zhuan, X., Luo, X. and Gao, H. (2023) An updated Lagrangian constrained mixture model of pathological cardiac growth and remodelling. Acta Biomaterialia, 166, pp. 375-399. (doi: 10.1016/j.actbio.2023.05.022) (PMID:37201740)

Guan, D., Wang, Y., Luo, X. , Danton, M. and Gao, H. (2023) A Modelling Study of Pulmonary Regurgitation in a Personalized Human Heart. In: 12th International Conference on Functional Imaging and Modeling of the Heart, Lyon, France, 19-22 Jun 2023, ISBN 9783031353017 (doi: 10.1007/978-3-031-35302-4_60)

Rabbani, A., Gao, H. , Lazarus, A., Dalton, D., Ge, Y., Mangion, K., Berry, C. and Husmeier, D. (2023) Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications. Computerized Medical Imaging and Graphics, 106, 102203. (doi: 10.1016/j.compmedimag.2023.102203) (PMID:36848766)

Cai, L., Zhao, T., Wang, Y., Luo, X. and Gao, H. (2023) Fluid–structure interaction simulation of pathological mitral valve dynamics in a coupled mitral valve-left ventricle model. Intelligent Medicine, 3(2), pp. 104-114. (doi: 10.1016/j.imed.2022.06.005)

Zhang, C., Gao, H. and Hu, X. (2023) A multi-order smoothed particle hydrodynamics method for cardiac electromechanics with the Purkinje network. Computer Methods in Applied Mechanics and Engineering, 407, 115885. (doi: 10.1016/j.cma.2023.115885)

Thekkethil, N., Rossi, S., Gao, H. , Richardson, S. I. H., Griffith, B. E. and Luo, X. (2023) A stabilized linear finite element method for anisotropic poroelastodynamics with application to cardiac perfusion. Computer Methods in Applied Mechanics and Engineering, 405, 115877. (doi: 10.1016/j.cma.2022.115877)

2022

Dalton, D., Gao, H. and Husmeier, D. (2022) Emulation of cardiac mechanics using Graph Neural Networks. Computer Methods in Applied Mechanics and Engineering, 401(B), 115645. (doi: 10.1016/j.cma.2022.115645)

Yang, Y. , Gao, H. , Berry, C. , Carrick, D., Radjenovic, A. and Husmeier, D. (2022) Classification of myocardial blood flow based on dynamic contrast-enhanced magnetic resonance imaging using hierarchical Bayesian models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 71(5), pp. 1085-1115. (doi: 10.1111/rssc.12568)

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)

Husmeier, D. , Dalton, D., Lazarus, A. and Gao, H. (2022) Forward and Inverse Uncertainty Quantification in Cardiac Mechanics. 4th International Conference on Statistics: Theory and Applications (ICSTA 22), Prague, Czech Republic, 28-30 July 2022. (doi: 10.11159/icsta22.161)

Yang, Y., Gao, H. , Berry, C. , Radjenovic, A. and Husmeier, D. (2022) Myocardial Perfusion Classification Using A Markov Random Field Constrained Gaussian Mixture Model. 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/icsta22.146)

Guan, D., Luo, X. and Gao, H. (2022) Effect of Myofibre Dispersion on Ventricular Pump Function. In: 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 Jun 2022, pp. 372-375. ISBN 9780956291462

Guan, D., Tian, L. and Gao, H. (2022) Growth and Remodelling of Right Ventricle Under Pulmonary Arterial Hypertension. In: 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 Jun 2022,

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)

Lazarus, A., Dalton, D., Husmeier, D. and Gao, H. (2022) Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics. Biomechanics and Modeling in Mechanobiology, 21(3), pp. 953-982. (doi: 10.1007/s10237-022-01571-8) (PMID:35377030) (PMCID:PMC9132878)

Borowska, A. , Gao, H. , Lazarus, A. and Husmeier, D. (2022) Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle. International Journal for Numerical Methods in Biomedical Engineering, 38(5), e3593. (doi: 10.1002/cnm.3593) (PMID:35302293)

Ren, J., Sun, H., Zhao, H., Gao, H. , Maclellan, C., Zhao, S. and Luo, X. (2022) Effective extraction of ventricles and myocardium objects from cardiac magnetic resonance images with a multi-task learning U-Net. Pattern Recognition Letters, 155, pp. 165-170. (doi: 10.1016/j.patrec.2021.10.025)

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)

Cai, L., Hao, Y., Ma, P., Zhu, G., Luo, X. and Gao, H. (2022) Fluid-structure interaction simulation of calcified aortic valve stenosis. Mathematical Biosciences and Engineering, 19(12), pp. 13172-13192. (doi: 10.3934/mbe.2022616)

Guan, D., Mei, Y., Xu, L., Cai, L., Luo, X. and Gao, H. (2022) Effects of dispersed fibres in myocardial mechanics, Part I: passive response. Mathematical Biosciences and Engineering, 19(4), pp. 3972-3993. (doi: 10.3934/mbe.2022183)

Guan, D., Wang, Y., Xu, L., Cai, L., Luo, X. and Gao, H. (2022) Effects of dispersed fibres in myocardial mechanics, Part II: active response. Mathematical Biosciences and Engineering, 19(4), pp. 4101-4119. (doi: 10.3934/mbe.2022189)

2021

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)

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)

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)

Dalton, D., Lazarus, A., Rabbani, A., Gao, H. and Husmeier, D. (2021) Graph Neural Network Emulation of Cardiac Mechanics. In: 3rd International Conference on Statistics: Theory and Applications (ICSTA'21), 29-31 Jul 2021, p. 127. ISBN 9781927877913 (doi: 10.11159/icsta21.127)

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)

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)

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)

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)

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)

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)

2020

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)

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)

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)

Wang, Y. et al. (2020) Covalent immobilization of biomolecules on stent materials through mussel adhesive protein coating to form biofunctional films. Materials Science and Engineering C: Materials for Biological Applications, 106, 110187. (doi: 10.1016/j.msec.2019.110187)

2019

Davies, V. , Noè, U. , Lazarus, A., Gao, H. , Macdonald, B. , Berry, C. , Luo, X. and Husmeier, D. (2019) Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(5), pp. 1555-1576. (doi: 10.1111/rssc.12374) (PMID:31762497) (PMCID:PMC6856984)

Feng, L., Gao, H. , Griffith, B. E., Niderer, S. A. and Luo, X. (2019) Analysis of a coupled fluid-structure interaction model of the left atrium and mitral valve. International Journal for Numerical Methods in Biomedical Engineering, 35(11), e3254. (doi: 10.1002/cnm.3254) (PMID:31454470)

Cai, L., Wang, Y., Gao, H. , Ma, X.S., Zhu, G.Y., Zhang, R.H., Shen, X.Q. and Luo, X. (2019) Some effects of different constitutive laws on simulating mitral valve dynamics with FSI. Scientific Reports, 9, 12753. (doi: 10.1038/s41598-019-49161-6) (PMID:31484963) (PMCID:PMC6726639)

Guan, D., Ahmad, F., Theobald, P., Soe, S., Luo, X. and Gao, H. (2019) On the AIC based model reduction for the general Holzapfel-Ogden myocardial constitutive law. Biomechanics and Modeling in Mechanobiology, 18, pp. 1213-1232. (doi: 10.1007/s10237-019-01140-6) (PMID:30945052) (PMCID:PMC6647490)

Husmeier, D. , Lazarus, A., Noè, U. , Davies, V. , Borowska, A. , Macdonald, B. , Gao, H. , Berry, C. and Luo, X. (2019) Statistical Emulation of Cardiac Mechanics: an Important Step Towards a Clinical Decision Support System. In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019, p. 29. ISBN 9781927877647 (doi: 10.11159/icsta19.29)

Romaszko, L., Borowska, A. , Lazarus, A., Gao, H. , Luo, X. and Husmeier, D. (2019) Direct Learning Left Ventricular Meshes from CMR Images. In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019, p. 25. ISBN 9781927877647 (doi: 10.11159/icsta19.25)

Romaszko, L., Lazarus, A., Gao, H. , Borowska, A. , Luo, X. and Husmeier, D. (2019) Massive Dimensionality Reduction for the Left Ventricular Mesh. In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019, p. 24. ISBN 9781927877647 (doi: 10.11159/icsta19.24)

Yang, Y. , Gao, H. , Berry, C. , Radjenovic, A. and Husmeier, D. (2019) Quantification of Myocardial Perfusion Lesions Using Spatially Variant Finite Mixture Modelling of DCE-MRI. In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019, p. 26. ISBN 9781927877647 (doi: 10.11159/icsta19.26)

Cai, L., Guo, M., Li, Y., Ying, W., Gao, H. and Luo, X. (2019) Nonstandard finite difference method for nonlinear Riesz space fractional reaction-diffusion equation. International Journal of Numerical Analysis and Modeling, 16(6), pp. 925-938.

Wang, Y., Cai, L., Luo, X. , Ying, W. and Gao, H. (2019) Simulation of action potential propagation based on the ghost structure method. Scientific Reports, 9, 10927. (doi: 10.1038/s41598-019-47321-2) (PMID:31358816) (PMCID:PMC6662858)

Noè, U. , Lazarus, A., Gao, H. , Davies, V. , Macdonald, B. , Mangion, K., Berry, C. , Luo, X. and Husmeier, D. (2019) Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance. Journal of the Royal Society: Interface, 16(156), 20190114. (doi: 10.1098/rsif.2019.0114) (PMID:31266415) (PMCID:PMC6685034)

Duanmu, Z., Chen, W., Gao, H. , Yang, X., Luo, X. , Wang, T. and Hill, N. A. (2019) A one-dimensional hemodynamic model of the coronary arterial tree. Frontiers in Physiology, 10, 853. (doi: 10.3389/fphys.2019.00853)

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

Zhuan, X., Luo, X. , Gao, H. and Ogden, R. W. (2019) Coupled agent-based and hyperelastic modelling of the left ventricle post-myocardial infarction. International Journal for Numerical Methods in Biomedical Engineering, 35(1), e3155. (doi: 10.1002/cnm.3155) (PMID:30253447) (PMCID:PMC6492033)

2018

Feng, L., Qi, N., Gao, H. , Sun, W., Vazquez, M., Griffith, B.E. and Luo, X.Y. (2018) On the chordae structure and dynamic behaviour of the mitral valve. IMA Journal of Applied Mathematics, 83(6), pp. 1066-1091. (doi: 10.1093/imamat/hxy035) (PMID:30655652) (PMCID:PMC6328065)

Mangion, K., Gao, H. , Husmeier, D. , Luo, X. and Berry, C. (2018) Advances in computational modelling for personalised medicine after myocardial infarction. Heart, 104(7), pp. 550-557. (doi: 10.1136/heartjnl-2017-311449) (PMID:29127185)

Mortensen, P., Bin Noor Aziz, M. H., Gao, H. and Simitev, R. D. (2018) Modelling and Simulations of Electrical Propagation in Transmural Slabs of Scarred Left Ventricular Tissue. In: 6th European Conference on Computational Mechanics and 7th European Conference on Computational Fluid Dynamics, Glasgow, UK, 11-15 Jun 2018, pp. 1651-1663. ISBN 9788494731167

2017

Gao, H. , Mangion, K., Carrick, D., Husmeier, D. , Luo, X. and Berry, C. (2017) Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models. Scientific Reports, 7, 13527. (doi: 10.1038/s41598-017-13635-2) (PMID:29051544) (PMCID:PMC5648923)

Gao, H. , Qi, N., Feng, L., Ma, X., Danton, M., Berry, C. and Luo, X. (2017) Modelling mitral valvular dynamics–current trend and future directions. International Journal for Numerical Methods in Biomedical Engineering, 33(10), e2858. (doi: 10.1002/cnm.2858) (PMID:27935265) (PMCID:PMC5697636)

Gao, H. , Feng, L., Qi, N., Berry, C. , Griffith, B. E. and Luo, X. (2017) A coupled mitral valve - left ventricle model with fluid-structure interaction. Medical Engineering and Physics, 47, pp. 128-136. (doi: 10.1016/j.medengphy.2017.06.042) (PMID:28751011) (PMCID:PMC6779302)

Gao, H. , Aderhold, A., Mangion, K., Luo, X. , Husmeier, D. and Berry, C. (2017) Changes and classification in myocardial contractile function in the left ventricle following acute myocardial infarction. Journal of the Royal Society: Interface, 14(132), 20170203. (doi: 10.1098/rsif.2017.0203) (PMID:28747397) (PMCID:PMC5550971)

Van Hirtum, A., Wu, B., Gao, H. and Luo, X.Y. (2017) Constricted channel flow with different cross-section shapes. European Journal of Mechanics - B/Fluids, 63, pp. 1-8. (doi: 10.1016/j.euromechflu.2016.12.009)

Cai, L., Wang, Y., Gao, H. , Li, Y. and Luo, X. (2017) A mathematical model for active contraction in healthy and failing myocytes and left ventricles. PLoS ONE, 12(4), e0174834. (doi: 10.1371/journal.pone.0174834) (PMID:28406991) (PMCID:PMC5391010)

2016

Mangion, K., Gao, H. , Mccomb, C., Carrick, D., Clerfond, G., Zhong, X., Luo, X. , Haig, C. and Berry, C. (2016) A novel method for estimating myocardial strain: assessment of deformation tracking against reference magnetic resonance methods in healthy volunteers. Scientific Reports, 6, 38774. (doi: 10.1038/srep38774) (PMID:27941903) (PMCID:PMC5150576)

Chen, W.W., Gao, H. , Luo, X.Y. and Hill, N.A. (2016) Study of cardiovascular function using a coupled left ventricle and systemic circulation model. Journal of Biomechanics, 49(12), pp. 2445-2454. (doi: 10.1016/j.jbiomech.2016.03.009) (PMID:27040388) (PMCID:PMC5038162)

Mangion, K., Gao, H. , Radjenovic, A. , Luo, X. , Haig, C. and Berry, C. (2016) Pixel-tracking derived strain using the GlasgowHeart Method. Journal of Cardiovascular Magnetic Resonance, 18(Supl 1), P9. (doi: 10.1186/1532-429X-18-S1-P9) (PMCID:PMC5032251)

2015

Land, S. et al. (2015) Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour. Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 471(2184), 20150641. (doi: 10.1098/rspa.2015.0641) (PMID:6807042) (PMCID:PMC4707707)

Gao, H. , Li, W.G., Cai, L., Berry, C. and Luo, X.Y. (2015) Parameter estimation in a Holzapfel–Ogden law for healthy myocardium. Journal of Engineering Mathematics, 95(1), pp. 231-248. (doi: 10.1007/s10665-014-9740-3) (PMID:26663931) (PMCID:PMC4662962)

Qi, N., Gao, H. , Ogden, R. W. , Hill, N. A. , Holzapfel, G. A., Han, H. and Luo, X. (2015) Investigation of the optimal collagen fibre orientation in human iliac arteries. Journal of the Mechanical Behavior of Biomedical Materials, 52, pp. 108-119. (doi: 10.1016/j.jmbbm.2015.06.011) (PMID:26195342)

Cai, L., Gao, H. , Luo, X. and Nie, Y. (2015) Multi-scale modelling of the human left ventricle. Scientia Sinica Physica, Mechanica and Astronomica, 45(2), 24702. (doi: 10.1360/SSPMA2013-00100)

Gao, H. , Berry, C. and Luo, X. (2015) Image-derived human left ventricular modelling with fluid-structure interaction. In: van Assen, H., Bovendeerd, P. and Delhaas, T. (eds.) Functional Imaging and Modeling of the Heart. Series: Lecture notes in computer science, 9126 (9126). Springer International Publishing, pp. 321-329. ISBN 9783319203089 (doi: 10.1007/978-3-319-20309-6_37)

Gao, H. , Qi, N., Ma, X., Griffith, B. E., Berry, C. and Luo, X. (2015) Fluid-structure interaction model of human mitral valve within left ventricle. In: Functional Imaging and Modeling of the Heart. Series: Lecture Notes in Computer Science, 9126 (9126). Springer International Publishing, pp. 330-337. ISBN 9783319203089 (doi: 10.1007/978-3-319-20309-6_38)

2014

Gao, H. , Ma, X., Nan, Q., Berry, C. , Griffith, B. E. and Luo, X. (2014) A finite strain nonlinear human mitral valve model with fluid structure interaction. International Journal for Numerical Methods in Biomedical Engineering, 30(12), pp. 1597-1613. (doi: 10.1002/cnm.2691) (PMID:25319496) (PMCID:PMC4278556)

Gao, H. , Wang, H., Berry, C. , Luo, X. and Griffith, B. E. (2014) Quasi-static imaged-based immersed boundary-finite element model of human left ventricle in diastole. International Journal for Numerical Methods in Biomedical Engineering, 30(11), pp. 1199-1222. (doi: 10.1002/cnm.2652)

Gao, H. , Carrick, D., Berry, C. , Griffith, B. E. and Luo, X. (2014) Dynamic finite-strain modelling of the human left ventricle in health and disease using an immersed boundary-finite element method. IMA Journal of Applied Mathematics, 79(5), pp. 978-1010. (doi: 10.1093/imamat/hxu029)

Gao, H. , Allan, A., McComb, C., Luo, X. and Berry, C. (2014) Left ventricular strain and its pattern estimated from cine CMR and validation with DENSE. Physics in Medicine and Biology, 59(13), pp. 3637-3656. (doi: 10.1088/0031-9155/59/13/3637)

Wang, H.M., Luo, X.Y. , Gao, H. , Ogden, R.W. , Griffith, B.E., Berry, C. and Wang, T.J. (2014) A modified Holzapfel-Ogden law for a residually stressed finite strain model of the human left ventricle in diastole. Biomechanics and Modeling in Mechanobiology, 13(1), pp. 99-113. (doi: 10.1007/s10237-013-0488-x) (PMID:23609894) (PMCID:PMC3880672)

Zhu, Y., Luo, X.Y. , Gao, H. , Mccomb, C. and Berry, C. (2014) A numerical study of a heart phantom model. International Journal of Computer Mathematics, 91(7), pp. 1535-1551. (doi: 10.1080/00207160.2013.854337)

2013

Saba, L., Tallapally, N., Gao, H. , Molinari, F., Anzidei, M., Piga, M., Sanfilippo, R. and Suri, J.S. (2013) Semiautomated and automated algorithms for analysis of the carotid artery wall on computed tomography and sonography a correlation study. Journal of Ultrasound in Medicine, 32(4), pp. 665-674.

Gao, H. , Kadir, K., Payne, A. R., Soraghan, J. and Berry, C. (2013) Highly automatic quantification of myocardial oedema in patients with acute myocardial infarction using bright blood T2-weighted CMR. Journal of Cardiovascular Magnetic Resonance, 15(28), (doi: 10.1186/1532-429X-15-28)

Ma, X., Gao, H. , Griffith, B. E., Berry, C. and Luo, X. (2013) Image-based fluid-structure interaction model of the human mitral valve. Computers and Fluids, 71, pp. 417-425. (doi: 10.1016/j.compfluid.2012.10.025)

Wang, H.M., Gao, H. , Luo, X.Y. , Berry, C. , Griffith, B.E., Ogden, R.W. and Wang, T.J. (2013) Structure-based finite strain modelling of the human left ventricle in diastole. International Journal for Numerical Methods in Biomedical Engineering, 29(1), pp. 83-103. (doi: 10.1002/cnm.2497)

Gao, H. , Griffith, B. E., Carrick, D., McComb, C., Berry, C. and Luo, X. (2013) Initial experience with a dynamic imaging-derived immersed boundary model of human left ventricle. In: Ourselin, S., Rueckert, D. and Xmith, N. (eds.) Functional Imaging and Modeling of the Heart. Series: Lecture notes in computer science, 7945. Springer Berlin Heidelberg: Berlin, Germany, pp. 11-18. ISBN 9783642388989 (doi: 10.1007/978-3-642-38899-6_2)

Saba, L., Gao, H. , Acharya, U.R., Sannia, S., Ledda, G. and Suri, J.S. (2013) Analysis of carotid artery plaque and wall boundaries on CT images by using a semi-automatic method based on level set model. Neuroradiology, 54(11), pp. 1207-1214. (doi: 10.1007/s00234-012-1040-x)

2012

Gao, H. , Carrick, D., Kadir, K., McComb, C., Foster, J., Soraghan, J., Luo, X. and Berry, C. (2012) Semi-automatic OEDEMA quantification from direct T2 map cardiac MRI. Heart, 98(Suppl), A7-A7. (doi: 10.1136/heartjnl-2012-302951.022)

Kadir, K., Gao, H. , Payne, A., Soraghan, J. and Berry, C. (2012) LV wall segmentation using the variational level set method (LSM) with additional shape constraint for oedema quantification. Physics in Medicine and Biology, 57(19), pp. 6007-6023. (doi: 10.1088/0031-9155/57/19/6007)

2011

Gao, H. , Long, Q., Kumar Das, S., Halls, J., Graves, M., Gillard, J.H. and Li, Z.-Y. (2011) Study of carotid arterial plaque stress for symptomatic and asymptomatic patients. Journal of Biomechanics, 44(14), pp. 2551-2557. (doi: 10.1016/j.jbiomech.2011.07.012)

Gao, H. , Long, Q., Das, S.K., Sadat, U., Graves, M., Gillard, J.H. and Li, Z.Y. (2011) Stress analysis of carotid atheroma in transient ischemic attack patients: evidence for extreme stress-induced plaque rupture. Annals of Biomedical Engineering, 39(8), pp. 2203-2212. (doi: 10.1007/s10439-011-0314-5)

Allan, A., Gao, H. , McComb, C. and Berry, C. (2011) Myocardial strain estimated from standard cine MRI closely represents strain estimated from dedicated strain-encoded MRI. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston, M.A., 30 Aug - 3 Sept 2011, pp. 2650-2653. (doi: 10.1109/IEMBS.2011.6090729)

Gao, H. , Kadir, K., Berry, C., Payen, A., Soraghan, J. and Luo, X. (2011) CMRI based 3D left ventricle motion analysis on patients with acute myocardial infarction. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston, M.A., 30 Aug - 3 Sept 2011, pp. 6821-6824. (doi: 10.1109/IEMBS.2011.6091682)

Gao, H. and Long, Q. (2011) Stress analysis on carotid atherosclerotic plaques by fluid structure interaction. In: Suri, J.S., Kathuria, C. and Molinari, F. (eds.) Atherosclerosis Disease Management. Springer, pp. 87-118. ISBN 9781441972217 (doi: 10.1007/978-1-4419-7222-4_5)

Kadir, K., Gao, H. , Payne, A., Soraghan, J. and Berry, C. (2011) Automatic quantification and 3D visualisation of edema in cardiac MRI. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston, M.A., 30 Aug - 3 Sept 2011, pp. 8021-8024. (doi: 10.1109/IEMBS.2011.6091978)

Kadir, K., Gao, H. , Payne, A., Soraghan, J. and Berry, C. (2011) Variational level set method with shape constraint and application to oedema cardiac magnetic resonance image. In: 17th International Conference on Digital Signal Processing (DSP), Corfu, 6-8 July 2011, (doi: 10.1109/ICDSP.2011.6004960)

2010

Gao, H. , Long, Q., Graves, M., Li, Z. and Gillard, J. (2010) Curvedness study on atherosclerosis plaques and its implications to plaque stress. In: 6th World Congress of Biomechanics (WCB 2010), Singapore, 1-6 Aug 2010, pp. 1507-1510. (doi: 10.1007/978-3-642-14515-5_384)

Hopkins, W., Gao, H. , Das, S. and Long, Q. (2010) Carotid wall motion analysis based on B-mode ultrasound images. In: 6th World Congress of Biomechanics (WCB 2010), Singapore, 1-6 Aug 2010, pp. 871-874. (doi: 10.1007/978-3-642-14515-5_222)

2009

Gao, H. , Long, Q., Graves, M., Gillard, J.H. and Li, Z.Y. (2009) Carotidarterialplaquestressanalysis using fluid–structure interactive simulation based on in-vivo magnetic resonance images of four patients. Journal of Biomechanics, 42(10), pp. 1416-1423. (doi: 10.1016/j.jbiomech.2009.04.010)

Gao, H. , Long, Q., Graves, M., Gillard, J.H. and Li, Z.Y. (2009) Study of reproducibility of human arterial plaque reconstruction and its effects on stress analysis based on multispectral in vivo magnetic resonance imaging. Journal of Magnetic Resonance Imaging, 30(1), pp. 85-93. (doi: 10.1002/jmri.21799)

Gao, H. , Long, Q., Sadat, U., Graves, M., Gillard, J.H. and Li, Z.Y. (2009) Stress analysis of carotid atheroma in a transient ischaemic attack patient using the MRI-based fluid–structure interaction method. British Journal of Radiology, 82, S46-S54. (doi: 10.1259/bjr/20307071)

2008

Gao, H. and Long, Q. (2008) Effects of varied lipid core volume and fibrous cap thickness on stress distribution in carotid arterial plaques. Journal of Biomechanics, 41(14), pp. 3053-3059. (doi: 10.1016/j.jbiomech.2008.07.011)

This list was generated on Wed Nov 20 18:26:44 2024 GMT.

Jump to: Articles | Book Sections | Conference or Workshop Item | Conference Proceedings

Number of items: 109.

Articles

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)

Cai, L., Gao, H. , Luo, X. and Nie, Y. (2015) Multi-scale modelling of the human left ventricle. Scientia Sinica Physica, Mechanica and Astronomica, 45(2), 24702. (doi: 10.1360/SSPMA2013-00100)

Book Sections

Conference or Workshop Item

Conference Proceedings

This list was generated on Wed Nov 20 18:26:44 2024 GMT.

Grants

(CI) The EPSRC Centre for Future PCI Planning, 2024 -- 2028, £1.2 million

(CI) Chief Science Office (TCS/23/18) Assessment of Brain Tumours with Dynamic T2* and Lactate MR under Oxygen Challenge to Evaluate Aerobic and Anaerobic Metabolic Status of Gliomas, 2024 -- 2027, £299k

(PI) Royal Society International Exchange Grant, "Multiscale/Multiphysics Modelling of Plaque Progression and Regression: A Novel Biochemo-Mechanics Driven Growth and Remodelling Model", 2024 - 2026, £12k

(PI) EPSRC IAA project, "A first in-silico trial of quantifying the drug effects of SGLT2i in heart failure'', 2023 -- 2024, £4.8k

(PI) BHF project “A modelling study of right ventricular function in repaired Tetralogy of Fallot for predicting outcome and impact of pulmonary valve replacement”, 2022 - 2025, £ 185,504

(PI) Rewards for Excellence – College Award, University of Glasgow, March – July 2022, £10k

(CI) EPSRC: The SofTMech Statistical Emulation and Translation Hub , £1.2 million, Sep 2020 - Aug 2024

(CI) EPSRC: SofTMech with MIT and POLIMI (SofTMechMP), £2 million, Jan 2020 - Dec 2023

(CI) Innovate UK project, Development of a Novel Head Coil for Clinical Neuroimaging in 7 Tesla MRI Scanners, 2021. £2.5k

(CI) EPSRC: Growth and Remodelling in the Porcine Heart-- Pushing Mathematics through Experiments, £394k, Aug 2019 - Jul 2022

(CI) EPSRC IAA project 'Cardiac endotypes in COVID-19: quantification and mechanisms of cardiac injury', £57k, Jan 2021 - Dec 2021

(PI) EPPRC Capital Award, UofG, £23k, 2018 - 2020

(CI-researcher) EPSRC Centre for Multiscale Soft Tissue Mechanics - with application to heart & cancer, led by Prof. Ray Ogden, £2 million, Apr 2016 - Jul 2021

(CI) EPSRC IAA project 'Mathematical modelling of cardiac amyloidosis and related interstitial cardiac pathologies', co-funded by GSK and UofG, £25,146, 2017

(CI) EPSRC IAA project 'Tracking biomarkers of heart attacks using a fast statistical emulator based on heart modelling and in vivo MRI', £48k, 2016.10 -- 2017.04

(CI) GSK funded project 'Investigation of post-myocardial infarction injury based on novel mathematical models and clinical cardiac magnetic resonance imaging (CMR) methodologies', £468k, 2017 - 2020

(PI) feasibility fund from SoftMech, 'Development of AI-Segmentation and Registration for Heart Imaging', £4000, 11.2018 -- 10.2019

(PI) feasibility fund from SofTMech, 'implementing parallel computing in FEAP for cardiac mechanics', £6500, 11.2017 -- 05.2018

(CI) Royal Society Royal Society-Newton Mobility Grant on ”Towards the next generation stenting - The evaluation and study on mechanics behaviour of novel shape memory polymer stent”, £12,000, 2018-2020

(CI) BHF funded project (PG/14/64/31043): 'First steps towards modelling myocardial infarction (a computed MI Physiome)', 04.2015 - 03.2017

Supervision

If you are interested in studying for a PhD at the University of Glasgow, please contact me for details of potential projects,

personalized cardiac modelling towards the digital twin (parameter inferences, biomarker discovery, etc);
Multi-physics modelling in cardiac mechanics by coupling blood flow, soft tissue mechanics and electrophysiology with experimental data, including human, rabbit and rat, etc.
Immersed boundary methods for fluid-structure interaction with applications to heart valves, coronary flow, medical devices, etc;
Constrained-mixture theory-based growth and remodelling in the heart (myocardial infarction, right ventricle dysfunction, congenital heart)
Physics-informed surrogate modelling in biomechanics (Gaussian process, inverse problem, uncertainty quantification, sensitivity study, etc);
Clinical image processing and machine learning-based model construction (deformable image registration, automatic segmentation using machine learning-based methods, 3-D geometry reconstruction and co-registration, etc);

I am also open to other projects within the field of computational mechanics and applied mathematics in general. The online application can be found at https://www.gla.ac.uk/postgraduate/research/mathematics. If you need to apply for funding or fee waiver, please indicate this in your application.

Al Dawoud, Antesar Mohammed A
Applications of Parameter Inference and Modelling in Cardiac Single-Cell Action Potential Models
Bhattacharya, Atrayee
Predicting patterns of retinal haemorrhage
Ren, Hongjin
Gaussian Process Emulation for Mathematical Models of the Heart
Yang, Zhechao
Electrophysiological modelling of hearts with diseases
Zhang, Jiaming
Physics-Informed Neural Network in Soft Tissue Mechanics

PhD project: Mathematical modelling of cardiac function: constitutive law, fibre dispersion, growth and remodelling, 2021
MSci project: Machine learning-based surrogate modelling in cardiac mechanics, 2020
MSc project: Mathematical modelling of human myocyte electrophysiology from healthy to heart failure, 2020
MSc project: Mathematical modelling of human cardiac myocyte active contraction, 2017

Teaching

5M Elasticity, 2020-2021, 2021-2022
Engineering Mathematics: Block 1, 2020-2021, 2021-2022
Math 1S, 2017-2018

Research datasets

Jump to: 2022 | 2020

Number of items: 2.

2022

Dalton, D., Gao, H. and Husmeier, D. (2022) Data From: Emulation of Cardiac Mechanics using Graph Neural Networks. [Data Collection]

2020

Simitev, R. , Smith, G. , Gao, H. and Mortensen, P. (2020) Action potential propagation and block in a model of atrial tissue with myocyte-fibroblast coupling. [Data Collection]

This list was generated on Thu Nov 21 04:22:28 2024 GMT.

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Dr Hao Gao

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