SELECTED PUBLICATIONS

MONOGRAPHS

• Daniela Calvetti and Erkki Somersalo: Computational Mathematical Modeling. An Integrated Approach through Scales. SIAM, Philadelphia, 2012.

• Daniela Calvetti and Erkki Somersalo: Introduction to Bayesian Scientific Computing -- Ten Lectures on Subjective Computing. Springer Verlag, 2007.

REFEREED ARTICLES

2014

• Arnold A, Calvetti D, Gjedde A, Iversen P and Somersalo E: Astrocytic tracer dynamics estimated from $1-^{11}$C-acetate PET measurements. Revision submitted.
• Joseph C, Calvetti D and Somersalo E: Monte Carlo model of derivative markets: large traders, market manipulation and herding. Submitted.
• Calvetti D, Kaipio JP and Somersalo E: Inverse problems in the Bayesian framework. Inverse problems, to appear.
• Calvetti D, Ernst O and Somersalo E: Dynamic updating of numerical model discrepancy using sequential sampling. Inverse problems, to appear.
• Arnold A, Calvetti D and Somersalo E: Parameter estimation for stiff deterministic dynamical systems via ensemble Kalman filter. Inverse Problems, to appear.
• Calvetti D and Somersalo E: Dimensional analysis and model scaling. Princeton Companion to Applied Mathematics. To appear.
• Calvetti D, Hadwin PJ, Huttunen JMJ, Isaacson D, Kaipio JP, McGivney D, Somersalo E and Volzer J: Artificial boundary condition and domain truncation in electrical impedance tomography. Part II: Computed examples. Submitted
• Calvetti D, Hadwin PJ, Huttunen JMJ, Isaacson D, Kaipio JP, McGivney D, Somersalo E and Volzer J: Artificial boundary condition and domain truncation in electrical impedance tomography. Part I: Theory and preliminary examples. Submitted
• Cheng Y, Calvetti D and Somersalo E: Computational analysis of brain metabolism model at different scales. Under revision.
• Immonen T, Calvetti D and Somersalo E (2014) Modeling HIV-1 dynamics and fitness in cell culture across scales, Bull. Math. Biol. 76 (2014) 486-514



2013

• Calvetti D, Somersalo E and Spies R (2013) Variable order smoothness priors for ill-posed inverse problems, Math. Comp., to appear.
• Calvetti D and Somersalo E (2013) Quantitative in silico analysis of neurotransmitter pathways under steady state conditions, Front. Endocrinol., 08 October 2013 | doi: 10.3389 .
• Martelli S, Calvetti D, Somersalo E Viceconti M and Taddei F (2013) Computational tools for calculating alternative muscle force patterns during motion: a comparison of possible solutions. J Biomech. 46(12):2097-100. doi: 10.1016
• Arnold A, Calvetti D and Somersalo E (2013) Linear multistep methods, particle filtering and sequential Monte Carlo. Inverse Problems 29:085007
• Homa L, Calvetti D, Hoover A and Somersalo E: Bayesian preconditioned CGLS for source separation in MEG time series, SIAM J. Sci. Comput. 13 (2013) B778-B798.



2012

• D. Calvetti, D. McGivney and E. Somersalo: Left and right preconditioning for electrical impedance tomography with structural information. Inverse Problems 28 (2012) 055015.
• D. Calvetti and E. Somersalo: Menage a trois: the role of neurotransmitters in the energy metabolism of astrocytes, glutamatergic, and GABAergic neurons. J. Cerebral blood Flow and Metabolism 32 (2012):1472?1483. Electronic version: doi: 10.1038/jcbfm.2012.31.
• T. Immonen, R. Gibson, T.Leitner, M.A. Miller. E.J. Arts, E. Somersalo, D. Calvetti: A hybrid stochastic-deterministic computational model accurately describes spatial dynamics and virus diffusion in HIV-1 competition assay. J. Theor. Biol. 312C (2012) pp120?132.
• E. Somersalo, R. Occhipinti, W.F. Boron and D. Calvetti: A reaction-diffusion model of CO2 influx into an oocyte. J. Theor. Biol. 309 (2012) pp185-203.
• D. McGivney, D. Calvetti and E. Somersalo: Quantitative imaging with electrical impedance spectroscopy. Phys. Med. Biol. 57 (2012) 7289.
• E. Somersalo, Y. Cheng and D. Calvetti: The metabolism of neurons and astrocytes through mathematical models. Ann. Biomed. Eng. 40 (2012) pp. 2328-2344.