125 related articles for article (PubMed ID: 36326994)
1. Sensitivity Analysis of a Mathematical Model Simulating the Post-Hepatectomy Hemodynamics Response.
Sala L; Golse N; Joosten A; Vibert E; Vignon-Clementel I
Ann Biomed Eng; 2023 Jan; 51(1):270-289. PubMed ID: 36326994
[TBL] [Abstract][Full Text] [Related]
2. Partial hepatectomy hemodynamics changes: Experimental data explained by closed-loop lumped modeling.
Audebert C; Bekheit M; Bucur P; Vibert E; Vignon-Clementel IE
J Biomech; 2017 Jan; 50():202-208. PubMed ID: 27890535
[TBL] [Abstract][Full Text] [Related]
3. Parameter estimation for closed-loop lumped parameter models of the systemic circulation using synthetic data.
Bjørdalsbakke NL; Sturdy JT; Hose DR; Hellevik LR
Math Biosci; 2022 Jan; 343():108731. PubMed ID: 34758345
[TBL] [Abstract][Full Text] [Related]
4. Efficient sampling for polynomial chaos-based uncertainty quantification and sensitivity analysis using weighted approximate Fekete points.
Burk KM; Narayan A; Orr JA
Int J Numer Method Biomed Eng; 2020 Nov; 36(11):e3395. PubMed ID: 32794272
[TBL] [Abstract][Full Text] [Related]
5. Personalization of models with many model parameters: an efficient sensitivity analysis approach.
Donders WP; Huberts W; van de Vosse FN; Delhaas T
Int J Numer Method Biomed Eng; 2015 Oct; 31(10):. PubMed ID: 26017545
[TBL] [Abstract][Full Text] [Related]
6. Partial orthotopic liver transplantation in combination with two-stage hepatectomy: A proof-of-concept explained by mathematical modeling.
Golse N; Joly F; Nicolas Q; Vibert E; Line PD; Clementel IV
Clin Biomech (Bristol, Avon); 2020 Mar; 73():195-200. PubMed ID: 32035308
[TBL] [Abstract][Full Text] [Related]
7. Global sensitivity analysis of a model for venous valve dynamics.
Keijsers JMT; Leguy CAD; Huberts W; Narracott AJ; Rittweger J; Vosse FNV
J Biomech; 2016 Sep; 49(13):2845-2853. PubMed ID: 27457428
[TBL] [Abstract][Full Text] [Related]
8. Investigating the potential of Morris algorithm for improving the computational constraints of global sensitivity analysis.
Nabi S; Ahanger MA; Dar AQ
Environ Sci Pollut Res Int; 2021 Nov; 28(43):60900-60912. PubMed ID: 34165749
[TBL] [Abstract][Full Text] [Related]
9. Parametric uncertainty and global sensitivity analysis in a model of the carotid bifurcation: Identification and ranking of most sensitive model parameters.
Gul R; Bernhard S
Math Biosci; 2015 Nov; 269():104-16. PubMed ID: 26367184
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Effects of Uncertainty of Outlet Boundary Conditions in a Patient-Specific Case of Aortic Coarctation.
Antonuccio MN; Mariotti A; Fanni BM; Capellini K; Capelli C; Sauvage E; Celi S
Ann Biomed Eng; 2021 Dec; 49(12):3494-3507. PubMed ID: 34431017
[TBL] [Abstract][Full Text] [Related]
12. Global Sensitivity Analysis for Patient-Specific Aortic Simulations: The Role of Geometry, Boundary Condition and Large Eddy Simulation Modeling Parameters.
Xu H; Baroli D; Veneziani A
J Biomech Eng; 2021 Feb; 143(2):. PubMed ID: 32879943
[TBL] [Abstract][Full Text] [Related]
13. Lumped parameter model of cardiovascular-respiratory interaction.
Gaudenzi F; Avolio AP
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():473-6. PubMed ID: 24109726
[TBL] [Abstract][Full Text] [Related]
14. Application of an Adaptive Polynomial Chaos Expansion on Computationally Expensive Three-Dimensional Cardiovascular Models for Uncertainty Quantification and Sensitivity Analysis.
Quicken S; Donders WP; van Disseldorp EM; Gashi K; Mees BM; van de Vosse FN; Lopata RG; Delhaas T; Huberts W
J Biomech Eng; 2016 Dec; 138(12):. PubMed ID: 27636531
[TBL] [Abstract][Full Text] [Related]
15. A methodological paradigm for patient-specific multi-scale CFD simulations: from clinical measurements to parameter estimates for individual analysis.
Pant S; Fabrèges B; Gerbeau JF; Vignon-Clementel IE
Int J Numer Method Biomed Eng; 2014 Dec; 30(12):1614-48. PubMed ID: 25345820
[TBL] [Abstract][Full Text] [Related]
16. An integrated lumped-parameter model of the cardiovascular system for the simulation of acute ischemic stroke: description of instantaneous changes in hemodynamics.
Civilla L; Sbrollini A; Burattini L; Morettini M
Math Biosci Eng; 2021 May; 18(4):3993-4010. PubMed ID: 34198422
[TBL] [Abstract][Full Text] [Related]
17. Validation of Numerical Simulations of Thoracic Aorta Hemodynamics: Comparison with In Vivo Measurements and Stochastic Sensitivity Analysis.
Boccadifuoco A; Mariotti A; Capellini K; Celi S; Salvetti MV
Cardiovasc Eng Technol; 2018 Dec; 9(4):688-706. PubMed ID: 30357714
[TBL] [Abstract][Full Text] [Related]
18. Predicting the risk of post-hepatectomy portal hypertension using a digital twin: A clinical proof of concept.
Golse N; Joly F; Combari P; Lewin M; Nicolas Q; Audebert C; Samuel D; Allard MA; Sa Cunha A; Castaing D; Cherqui D; Adam R; Vibert E; Vignon-Clementel IE
J Hepatol; 2021 Mar; 74(3):661-669. PubMed ID: 33212089
[TBL] [Abstract][Full Text] [Related]
19. Applicability of the polynomial chaos expansion method for personalization of a cardiovascular pulse wave propagation model.
Huberts W; Donders WP; Delhaas T; van de Vosse FN
Int J Numer Method Biomed Eng; 2014 Dec; 30(12):1679-704. PubMed ID: 25377937
[TBL] [Abstract][Full Text] [Related]
20. Global Reliability Sensitivity Analysis Based on Maximum Entropy and 2-Layer Polynomial Chaos Expansion.
Zhao J; Zeng S; Guo J; Du S
Entropy (Basel); 2018 Mar; 20(3):. PubMed ID: 33265293
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
