These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 28077762)

  • 1. Inverse problems in reduced order models of cardiovascular haemodynamics: aspects of data assimilation and heart rate variability.
    Pant S; Corsini C; Baker C; Hsia TY; Pennati G; Vignon-Clementel IE
    J R Soc Interface; 2017 Jan; 14(126):. PubMed ID: 28077762
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Data assimilation and modelling of patient-specific single-ventricle physiology with and without valve regurgitation.
    Pant S; Corsini C; Baker C; Hsia TY; Pennati G; Vignon-Clementel IE;
    J Biomech; 2016 Jul; 49(11):2162-2173. PubMed ID: 26708918
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Sequential parameter estimation for fluid-structure problems: application to hemodynamics.
    Bertoglio C; Moireau P; Gerbeau JF
    Int J Numer Method Biomed Eng; 2012 Apr; 28(4):434-55. PubMed ID: 25365657
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reduced-Order Unscented Kalman Filter With Observations in the Frequency Domain: Application to Computational Hemodynamics.
    Muller LO; Caiazzo A; Blanco PJ
    IEEE Trans Biomed Eng; 2019 May; 66(5):1269-1276. PubMed ID: 30273122
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A flexible framework for sequential estimation of model parameters in computational hemodynamics.
    Arthurs CJ; Xiao N; Moireau P; Schaeffter T; Figueroa CA
    Adv Model Simul Eng Sci; 2020; 7(1):48. PubMed ID: 33282681
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessment of reduced-order unscented Kalman filter for parameter identification in 1-dimensional blood flow models using experimental data.
    Caiazzo A; Caforio F; Montecinos G; Muller LO; Blanco PJ; Toro EF
    Int J Numer Method Biomed Eng; 2017 Aug; 33(8):e2843. PubMed ID: 27781397
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrating multi-fidelity blood flow data with reduced-order data assimilation.
    Habibi M; D'Souza RM; Dawson STM; Arzani A
    Comput Biol Med; 2021 Aug; 135():104566. PubMed ID: 34157468
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Uncertainty in model-based treatment decision support: Applied to aortic valve stenosis.
    Meiburg R; Huberts W; Rutten MCM; van de Vosse FN
    Int J Numer Method Biomed Eng; 2020 Oct; 36(10):e3388. PubMed ID: 32691507
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Data-driven cardiovascular flow modelling: examples and opportunities.
    Arzani A; Dawson STM
    J R Soc Interface; 2021 Feb; 18(175):20200802. PubMed ID: 33561376
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data assimilation for identification of cardiovascular network characteristics.
    Lal R; Mohammadi B; Nicoud F
    Int J Numer Method Biomed Eng; 2017 May; 33(5):. PubMed ID: 27531694
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Uncertainty quantification in virtual surgery hemodynamics predictions for single ventricle palliation.
    Schiavazzi DE; Arbia G; Baker C; Hlavacek AM; Hsia TY; Marsden AL; Vignon-Clementel IE;
    Int J Numer Method Biomed Eng; 2016 Mar; 32(3):e02737. PubMed ID: 26217878
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Data-Driven Identification of Stochastic Model Parameters and State Variables: Application to the Study of Cardiac Beat-to-Beat Variability.
    Sampedro-Puente DA; Fernandez-Bes J; Virag L; Varro A; Pueyo E
    IEEE J Biomed Health Inform; 2020 Mar; 24(3):693-704. PubMed ID: 31180875
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analyzing the effects of observation function selection in ensemble Kalman filtering for epidemic models.
    Mitchell L; Arnold A
    Math Biosci; 2021 Sep; 339():108655. PubMed ID: 34186054
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Statistical modeling of cardiovascular signals and parameter estimation based on the extended Kalman filter.
    McNames J; Aboy M
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):119-29. PubMed ID: 18232353
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Model-based parameter estimation using cardiovascular response to orthostatic stress.
    Heldt T; Shim EB; Kamm RD; Mark RG
    Comput Cardiol; 2001; 28():337-40. PubMed ID: 14640093
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Inverse Problem Approach for Parameter Estimation of Cardiovascular System Models.
    Yang X; Leandro JS; Cordeiro TD; Lima AMN
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():5642-5645. PubMed ID: 34892402
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Lumped Parameter Model to Study Atrioventricular Valve Regurgitation in Stage 1 and Changes Across Stage 2 Surgery in Single Ventricle Patients.
    Pant S; Corsini C; Baker C; Hsia TY; Pennati G; Vignon-Clementel IE
    IEEE Trans Biomed Eng; 2018 Nov; 65(11):2450-2458. PubMed ID: 29993472
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Intra- and inter-beat modeling of cardiovascular dynamics and control: assessing haemodynamic stability and responsiveness.
    Toschi N; Duggento A; Canichella A; Coniglione F; Dauri M; Sabato AF; Guerrisi M
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():8440-3. PubMed ID: 22256306
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.