Biomedical Engineering Reference
In-Depth Information
[30] Perktold K.: On numerical simulation of three-dimensional physiological flow problems.
Technical report, Ber. Math.-Stat. Sekt. Forschungsges. Joanneum 280 , 1-32, 1987.
[31] Taylor C.A., Draney M.T., Ku J.P., Parker D., Steele B.N., Wang K., Zarins C.K.: Predic-
tive medicine: Computational techniques in therapeutic decision-making. Computer Aided
Surgery 4 (5): 231-247, 1999.
[32] Taylor C.A., Draney M.T.: Experimental and Computational Methods in Cardiovascular
Fluid Mechanics. Ann. Rev. Fluid. Mech. 36 : 197-231, 2004.
[33] Grinberg L., Anor T., Cheever E., Marsden. J.P., Karniadakis G.E.: Simulation of the human
intracranial arterial tree. Phil. Trans. R. Soc. A 367 : 2371-2386, 2009.
[34] Heys J.J., Manteuffel T.A., McCormick S.F., Milano M., Westerdale J., Belohlavek M.:
Weighted least-squares finite elements based on particle imaging velocimetry data. Journal
of Computational Physics 229 (1): 107-118, 2010.
[35] Ide K., Courtier P., Ghil M., Lorenc A.C.: Unified notation for data assimilation: Operational,
sequential and variational. Journal of Meteorological Society of Japan 75 (Special): 181-189,
1997.
[36] Chapelle D., Moireau P.: Robust filter for joint state parameters estimation in distributed
mechanical system. Discrete and Continous Dynamical Systems 23 (1-2): 65-84, 2009.
[37] Moireau P., Chapelle D.: Reduced-order Unscented Kalman Filtering with application to pa-
rameter identification in large-dimensional systems. ESAIM: Control, Optimisation and Cal-
culus of Variations, 2010.
[38] Moireau P., Chapelle D., Le Tallec P.: Joint state and parameter estimation for distributed
mechanical systems. Computer Methods in Applied Mechanics and Engineering 197 (6-8):
659-677, 2008.
[39] Moireau P., Chapelle D., Le Tallec P.: Filtering for distributed mechanical systems using
position measurements: perspectives in medical imaging. Inverse Problems 25 : 035010, 2009.
[40] Sermesant M., Moireau P., Camara O., Sainte-Marie J., Andriantsimiavona R., Cimrman R.,
Hill D.L.G., Chapelle D., Razavi R.: Cardiac function estimation from MRI using a heart
model and data assimilation: advances and difficulties. Functional Imaging and Modeling of
the Heart, pp. 325-337, 2005.
[41] Funamoto K., Suzuki Y., Hayase T., Kosugi T., Isoda H.: Numerical validation of mr-
measurement-integrated simulation of blood flow in a cerebral aneurysm. Ann. Biomed. Eng.
37 (6): 1105-1116, 2009.
[42] Glowinski R., Li C.H., Lions J.L.: A numerical approach to the exact boundary controllabil-
ity of the wave equation (I) Dirichlet controls: Description of the numerical methods. Japan
Journal of Industrial and Applied Mathematics 7 (1):1-76, 1990.
[43] Glowinski R., Lions J.L.: Exact and approximate controllability for distributed parameter
systems. Acta Numerica 3 : 269-378, 1994.
[44] Zuazua E.: Controllability of partial differential equations and its semi-discrete approxima-
tions. Dynamical Systems 8 (2): 469-513, 2002.
[45] Ervin V.J.; Lee H.: Numerical approximation of a quasi-Newtonian Stokes flow problem with
defective boundary conditions. SIAM J. Numer. Anal. 45 (5): 2120-2140, 2007.
[46] Formaggia L., Veneziani A., Vergara C.: A new approach to numerical solution of defec-
tive boundary value problems in incompressible fluid dynamics. SIAM Journal on Numerical
Analysis 46 (6): 2769-2794, 2008.
[47] Formaggia L., Veneziani A., Vergara C.: Flow rate boundary problems for an incompress-
ible fluid in deformable domains: formulations and solution methods. Computer Methods in
Applied Mechanics and Engineering 199 (9-12): 677-688, 2010.
[48] Darema F.: Dynamic data driven applications systems (dddas) - a transformative paradigm.
In ICCS (3), p. 5, 2008.
[49] Erdemir A., Guess T., Halloran J., Tadepalli S.C., Morrison T.M.: Recommendations for re-
porting finite element analysis studies in biomechanics. http://www.imagwiki.nibib.nih.gov/
mediawiki/index.php?title=Reporting in FEA, 2010.
Search WWH ::




Custom Search