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Parameter estimation in a Holzapfel-Ogden law for healthy myocardium.

Journal of engineering mathematics

Gao H, Li WG, Cai L, Berry C, Luo XY.
PMID: 26663931
J Eng Math. 2015;95(1):231-248. doi: 10.1007/s10665-014-9740-3. Epub 2015 Jan 30.

A central problem in biomechanical studies of personalized human left ventricular (LV) modelling is to estimate material properties from in vivo clinical measurements. In this work we evaluate the passive myocardial mechanical properties inversely from the in vivo LV...

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Gao H, Li WG, Cai L, et al. Parameter estimation in a Holzapfel-Ogden law for healthy myocardium. J Eng Math. 2015;95(1):231-248doi: 10.1007/s10665-014-9740-3.
Gao, H., Li, W. G., Cai, L., Berry, C., & Luo, X. Y. (2015). Parameter estimation in a Holzapfel-Ogden law for healthy myocardium. Journal of engineering mathematics, 95(1), 231-248. https://doi.org/10.1007/s10665-014-9740-3
Gao, H, et al. "Parameter estimation in a Holzapfel-Ogden law for healthy myocardium." Journal of engineering mathematics vol. 95,1 (2015): 231-248. doi: https://doi.org/10.1007/s10665-014-9740-3
Gao H, Li WG, Cai L, Berry C, Luo XY. Parameter estimation in a Holzapfel-Ogden law for healthy myocardium. J Eng Math. 2015;95(1):231-248. doi: 10.1007/s10665-014-9740-3. Epub 2015 Jan 30. PMID: 26663931; PMCID: PMC4662962.
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Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers.

Frontiers in physiology

Li W, Lazarus A, Gao H, Martinez-Naharro A, Fontana M, Hawkins P, Biswas S, Janiczek R, Cox J, Berry C, Husmeier D, Luo X.
PMID: 32425806
Front Physiol. 2020 Apr 30;11:324. doi: 10.3389/fphys.2020.00324. eCollection 2020.

Deposition of amyloid in the heart can lead to cardiac dilation and impair its pumping ability. This ultimately leads to heart failure with worsening symptoms of breathlessness and fatigue due to the progressive loss of elasticity of the myocardium....

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Li W, Lazarus A, Gao H, et al. Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers. Front Physiol. 2020;11:324doi: 10.3389/fphys.2020.00324.
Li, W., Lazarus, A., Gao, H., Martinez-Naharro, A., Fontana, M., Hawkins, P., Biswas, S., Janiczek, R., Cox, J., Berry, C., Husmeier, D., & Luo, X. (2020). Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers. Frontiers in physiology, 11324. https://doi.org/10.3389/fphys.2020.00324
Li, Wenguang, et al. "Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers." Frontiers in physiology vol. 11 (2020): 324. doi: https://doi.org/10.3389/fphys.2020.00324
Li W, Lazarus A, Gao H, Martinez-Naharro A, Fontana M, Hawkins P, Biswas S, Janiczek R, Cox J, Berry C, Husmeier D, Luo X. Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers. Front Physiol. 2020 Apr 30;11:324. doi: 10.3389/fphys.2020.00324. eCollection 2020. PMID: 32425806; PMCID: PMC7203577.
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On the chordae structure and dynamic behaviour of the mitral valve.

IMA journal of applied mathematics

Feng L, Qi N, Gao H, Sun W, Vazquez M, Griffith BE, Luo X.
PMID: 30655652
IMA J Appl Math. 2018 Nov;83(6):1066-1091. doi: 10.1093/imamat/hxy035. Epub 2018 Aug 30.

We develop a fluid-structure interaction (FSI) model of the mitral valve (MV) that uses an anatomically and physiologically realistic description of the MV leaflets and chordae tendineae. Three different chordae models-complex, 'pseudo-fibre' and simplified chordae-are compared to determine how...

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Feng L, Qi N, Gao H, et al. On the chordae structure and dynamic behaviour of the mitral valve. IMA J Appl Math. 2018;83(6):1066-1091doi: 10.1093/imamat/hxy035.
Feng, L., Qi, N., Gao, H., Sun, W., Vazquez, M., Griffith, B. E., & Luo, X. (2018). On the chordae structure and dynamic behaviour of the mitral valve. IMA journal of applied mathematics, 83(6), 1066-1091. https://doi.org/10.1093/imamat/hxy035
Feng, Liuyang, et al. "On the chordae structure and dynamic behaviour of the mitral valve." IMA journal of applied mathematics vol. 83,6 (2018): 1066-1091. doi: https://doi.org/10.1093/imamat/hxy035
Feng L, Qi N, Gao H, Sun W, Vazquez M, Griffith BE, Luo X. On the chordae structure and dynamic behaviour of the mitral valve. IMA J Appl Math. 2018 Nov;83(6):1066-1091. doi: 10.1093/imamat/hxy035. Epub 2018 Aug 30. PMID: 30655652; PMCID: PMC6328065.
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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

Davies V, Noè U, Lazarus A, Gao H, Macdonald B, Berry C, Luo X, Husmeier D.
PMID: 31762497
J R Stat Soc Ser C Appl Stat. 2019 Nov;68(5):1555-1576. doi: 10.1111/rssc.12374. Epub 2019 Sep 20.

A central problem in biomechanical studies of personalized human left ventricular modelling is estimating the material properties and biophysical parameters from

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Davies V, Noè U, Lazarus A, et al. Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation. J R Stat Soc Ser C Appl Stat. 2019;68(5):1555-1576doi: 10.1111/rssc.12374.
Davies, V., Noè, U., Lazarus, A., Gao, H., Macdonald, B., Berry, C., Luo, X., & 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), 1555-1576. https://doi.org/10.1111/rssc.12374
Davies, Vinny, et al. "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 vol. 68,5 (2019): 1555-1576. doi: https://doi.org/10.1111/rssc.12374
Davies V, Noè U, Lazarus A, Gao H, Macdonald B, Berry C, Luo X, Husmeier D. Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation. J R Stat Soc Ser C Appl Stat. 2019 Nov;68(5):1555-1576. doi: 10.1111/rssc.12374. Epub 2019 Sep 20. PMID: 31762497; PMCID: PMC6856984.
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Cardiovascular health technology assessment: recommendations to improve the quality of evidence.

Open heart

Berry C, Corcoran D, Mangion K.
PMID: 30997126
Open Heart. 2019 Feb 27;6(1):e000930. doi: 10.1136/openhrt-2018-000930. eCollection 2019.

The aim of this article is to review the role of Health Technology Assessment (HTA) organisations in appraising and recommending innovative cardiovascular technologies. We consider how bias impairs the quality of evidence from clinical trials involving cardiovascular healthcare technologies....

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Berry C, Corcoran D, Mangion K. Cardiovascular health technology assessment: recommendations to improve the quality of evidence. Open Heart. 2019;6(1):e000930doi: 10.1136/openhrt-2018-000930.
Berry, C., Corcoran, D., & Mangion, K. (2019). Cardiovascular health technology assessment: recommendations to improve the quality of evidence. Open heart, 6(1), e000930. https://doi.org/10.1136/openhrt-2018-000930
Berry, Colin, et al. "Cardiovascular health technology assessment: recommendations to improve the quality of evidence." Open heart vol. 6,1 (2019): e000930. doi: https://doi.org/10.1136/openhrt-2018-000930
Berry C, Corcoran D, Mangion K. Cardiovascular health technology assessment: recommendations to improve the quality of evidence. Open Heart. 2019 Feb 27;6(1):e000930. doi: 10.1136/openhrt-2018-000930. eCollection 2019. PMID: 30997126; PMCID: PMC6443128.
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Showing 1 to 5 of 5 entries