201 related articles for article (PubMed ID: 35377030)
1. Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics.
Lazarus A; Dalton D; Husmeier D; Gao H
Biomech Model Mechanobiol; 2022 Jun; 21(3):953-982. PubMed ID: 35377030
[TBL] [Abstract][Full Text] [Related]
2. Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle.
Borowska A; Gao H; Lazarus A; Husmeier D
Int J Numer Method Biomed Eng; 2022 May; 38(5):e3593. PubMed ID: 35302293
[TBL] [Abstract][Full Text] [Related]
3. Parameter estimation in a Holzapfel-Ogden law for healthy myocardium.
Gao H; Li WG; Cai L; Berry C; Luo XY
J Eng Math; 2015; 95(1):231-248. PubMed ID: 26663931
[TBL] [Abstract][Full Text] [Related]
4. Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.
Dhamala J; Arevalo HJ; Sapp J; Horácek BM; Wu KC; Trayanova NA; Wang L
Med Image Anal; 2018 Aug; 48():43-57. PubMed ID: 29843078
[TBL] [Abstract][Full Text] [Related]
5. Uncertainty in cardiac myofiber orientation and stiffnesses dominate the variability of left ventricle deformation response.
Rodríguez-Cantano R; Sundnes J; Rognes ME
Int J Numer Method Biomed Eng; 2019 May; 35(5):e3178. PubMed ID: 30632711
[TBL] [Abstract][Full Text] [Related]
6. Comprehensive Uncertainty Quantification and Sensitivity Analysis for Cardiac Action Potential Models.
Pathmanathan P; Cordeiro JM; Gray RA
Front Physiol; 2019; 10():721. PubMed ID: 31297060
[TBL] [Abstract][Full Text] [Related]
7. In vivo estimation of passive biomechanical properties of human myocardium.
Palit A; Bhudia SK; Arvanitis TN; Turley GA; Williams MA
Med Biol Eng Comput; 2018 Sep; 56(9):1615-1631. PubMed ID: 29479659
[TBL] [Abstract][Full Text] [Related]
8. Passive mechanical properties in healthy and infarcted rat left ventricle characterised via a mixture model.
Martonová D; Alkassar M; Seufert J; Holz D; Dương MT; Reischl B; Friedrich O; Leyendecker S
J Mech Behav Biomed Mater; 2021 Jul; 119():104430. PubMed ID: 33780851
[TBL] [Abstract][Full Text] [Related]
9. On the AIC-based model reduction for the general Holzapfel-Ogden myocardial constitutive law.
Guan D; Ahmad F; Theobald P; Soe S; Luo X; Gao H
Biomech Model Mechanobiol; 2019 Aug; 18(4):1213-1232. PubMed ID: 30945052
[TBL] [Abstract][Full Text] [Related]
10. Sensitivity analysis of an electrophysiology model for the left ventricle.
Del Corso G; Verzicco R; Viola F
J R Soc Interface; 2020 Oct; 17(171):20200532. PubMed ID: 33109017
[TBL] [Abstract][Full Text] [Related]
11. Bayesian inference of constitutive model parameters from uncertain uniaxial experiments on murine tendons.
Akintunde AR; Miller KS; Schiavazzi DE
J Mech Behav Biomed Mater; 2019 Aug; 96():285-300. PubMed ID: 31078970
[TBL] [Abstract][Full Text] [Related]
12. Fast and robust parameter estimation with uncertainty quantification for the cardiac function.
Salvador M; Regazzoni F; Dede' L; Quarteroni A
Comput Methods Programs Biomed; 2023 Apr; 231():107402. PubMed ID: 36773593
[TBL] [Abstract][Full Text] [Related]
13. Uncertainty analysis of ventricular mechanics using the probabilistic collocation method.
Osnes H; Sundnes J
IEEE Trans Biomed Eng; 2012 Aug; 59(8):2171-9. PubMed ID: 22581129
[TBL] [Abstract][Full Text] [Related]
14. Patient-specific parameter estimation in single-ventricle lumped circulation models under uncertainty.
Schiavazzi DE; Baretta A; Pennati G; Hsia TY; Marsden AL
Int J Numer Method Biomed Eng; 2017 Mar; 33(3):. PubMed ID: 27155892
[TBL] [Abstract][Full Text] [Related]
15. Robust image-based estimation of cardiac tissue parameters and their uncertainty from noisy data.
Neumann D; Mansi T; Georgescu B; Kamen A; Kayvanpour E; Amr A; Sedaghat-Hamedani F; Haas J; Katus H; Meder B; Hornegger J; Comaniciu D
Med Image Comput Comput Assist Interv; 2014; 17(Pt 2):9-16. PubMed ID: 25485357
[TBL] [Abstract][Full Text] [Related]
16. Estimation of left ventricular parameters based on deep learning method.
Cai L; Jiao J; Ma P; Xie W; Wang Y
Math Biosci Eng; 2022 Apr; 19(7):6638-6658. PubMed ID: 35730275
[TBL] [Abstract][Full Text] [Related]
17. Data-driven Uncertainty Quantification in Computational Human Head Models.
Upadhyay K; Giovanis DG; Alshareef A; Knutsen AK; Johnson CL; Carass A; Bayly PV; Shields MD; Ramesh KT
Comput Methods Appl Mech Eng; 2022 Aug; 398():. PubMed ID: 37994358
[TBL] [Abstract][Full Text] [Related]
18. Uncertainty quantification of the effect of cardiac position variability in the inverse problem of electrocardiographic imaging.
Bergquist JA; Zenger B; Rupp LC; Busatto A; Tate J; Brooks DH; Narayan A; MacLeod RS
Physiol Meas; 2023 Oct; 44(10):. PubMed ID: 37734339
[No Abstract] [Full Text] [Related]
19. Design and execution of a verification, validation, and uncertainty quantification plan for a numerical model of left ventricular flow after LVAD implantation.
Santiago A; Butakoff C; Eguzkitza B; Gray RA; May-Newman K; Pathmanathan P; Vu V; Vázquez M
PLoS Comput Biol; 2022 Jun; 18(6):e1010141. PubMed ID: 35696442
[TBL] [Abstract][Full Text] [Related]
20. Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid-dynamics model of the pulmonary circulation.
Paun LM; Husmeier D
Int J Numer Method Biomed Eng; 2021 Feb; 37(2):e3421. PubMed ID: 33249755
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
