Electromagnetic Inverse Problems and Generalized Sommerfeld Potentials. - Petri Ola; Erkki Somersalo (SIAM J. Appl. Math., 1996)

On the Existence and Convergence of the Solution of PML Equations. - Matti Lassas; Erkki Somersalo (Computing, 1998)

Tikhonov regularization and prior information in electrical impedance tomography. - Marko Vauhkonen; Dénes Vadász; Pasi A. Karjalainen; Erkki Somersalo; Jari P. Kaipio (IEEE Trans. Medical Imaging, 1998)

Fluid dynamical models and state estimation in process tomography: Effect due to inaccuracies in flow fields. - Aku Seppänen; Marko Vauhkonen; Päivi Vauhkonen; Erkki Somersalo; Jari P. Kaipio (J. Electronic Imaging, 2001)

Wind velocity observation with a CW Doppler radar. - Matti Lassas; Mustapha Mataich; Samuli Siltanen; Erkki Somersalo (IEEE Trans. Geosci. Remote. Sens., 2002)

Regularization in Cardiac Source Imaging. - Tuomas Lunttila; Jukka Nenonen; Erkki Somersalo (FIMH, 2003)

Using tomographic measurements in process control. - Anna R. Ruuskanen; Aku Seppänen; Stephen Duncan; Erkki Somersalo; Jari P. Kaipio (CDC, 2004)

Approximation Errors and Model Reduction in Optical Tomography. - Ville Kolehmainen; Simon R. Arridge; Jari P. Kaipio; Martin Schweiger; Erkki Somersalo; Tanja Tarvainen; Marko Vauhkonen (EMBC, 2006)

Image inpainting with structural bootstrap priors. - Daniela Calvetti; Fiorella Sgallari; Erkki Somersalo (Image Vis. Comput., 2006)

Large-Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models. - Daniela Calvetti; Erkki Somersalo (Multiscale Model. Simul., 2006)

An efficient deconvolution algorithm for estimating oxygen consumption during muscle activities. - Ranjan K. Dash; Erkki Somersalo; Marco E. Cabrera; Daniela Calvetti (Comput. Methods Programs Biomed., 2007)

Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State. - Daniela Calvetti; Amy Kuceyeski; Erkki Somersalo (Multiscale Model. Simul., 2008)

Conditionally Gaussian Hypermodels for Cerebral Source Localization. - Daniela Calvetti; Harri Hakula; Sampsa Pursiainen; Erkki Somersalo (SIAM J. Imaging Sci., 2009)

Metabolica: A statistical research tool for analyzing metabolic networks. - Jenni Heino; Daniela Calvetti; Erkki Somersalo (Comput. Methods Programs Biomed., 2010)

Computational Mathematical Modeling - An Integrated Approach Across Scales. - Daniela Calvetti; Erkki Somersalo (SIAM, 2013)

Bayesian Preconditioned CGLS for Source Separation in MEG Time Series. - Laura Homa; Daniela Calvetti; Alexander Hoover 002; Erkki Somersalo (SIAM J. Sci. Comput., 2013)

Variable order smoothness priors for ill-posed inverse problems. - Daniela Calvetti; Erkki Somersalo; Ruben D. Spies (Math. Comput., 2015)

Statistical Methods in Imaging. - Daniela Calvetti; Erkki Somersalo (Handbook of Mathematical Methods in Imaging, 2015)

Computational issues and numerical experiments for Linear Multistep Method Particle Filtering. - Daniela Calvetti; Salvatore Cuomo; Monica Pragliola; Erkki Somersalo; Gerardo Toraldo (CoRR, 2016)

Beyond the Model Limit: Parameter Inference Across Scales. - Margaret Callahan; Daniela Calvetti; Erkki Somersalo (SIAM/ASA J. Uncertain. Quantification, 2017)

Priorconditioned CGLS-Based Quasi-MAP Estimate, Statistical Stopping Rule, and Ranking of Priors. - Daniela Calvetti; Francesca Pitolli; Jamie Prezioso; Erkki Somersalo; Barbara Vantaggi (SIAM J. Sci. Comput., 2017)

Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS. - Daniela Calvetti; Francesca Pitolli; Erkki Somersalo; Barbara Vantaggi (SIAM Rev., 2018)

Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model. - Daniela Calvetti; Alexander Hoover 002; Johnie Rose; Erkki Somersalo (CoRR, 2020)

Overcomplete representation in a hierarchical Bayesian framework. - Monica Pragliola; Daniela Calvetti; Erkki Somersalo (CoRR, 2020)

Computational Model of Electrode-Induced Microenvironmental Effects on pH Measurements Near a Cell Membrane. - Daniela Calvetti; Jamie Prezioso; Rossana Occhipinti; Walter F. Boron; Erkki Somersalo (Multiscale Model. Simul., 2020)

Bayesian Mesh Adaptation for Estimating Distributed Parameters. - Daniela Calvetti; Anna Cosmo; Simona Perotto; Erkki Somersalo (SIAM J. Sci. Comput., 2020)

Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems. - Daniela Calvetti; Monica Pragliola; Erkki Somersalo (SIAM J. Sci. Comput., 2020)

Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions. - Daniela Calvetti; B. Johnson; Annalisa Pascarella; Francesca Pitolli; Erkki Somersalo; Barbara Vantaggi (CoRR, 2021)

Bayesian sparsity and class sparsity priors for dictionary learning and coding. - Alberto Bocchinfuso; Daniela Calvetti; Erkki Somersalo (CoRR, 2023)

Adaptive anisotropic Bayesian meshing for inverse problems. - Alberto Bocchinfuso; Daniela Calvetti; Erkki Somersalo (CoRR, 2023)

An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023. - Monica Pragliola; Daniela Calvetti; Erkki Somersalo (CoRR, 2024)

Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models. - Daniela Calvetti; Erkki Somersalo (SIAM/ASA J. Uncertain. Quantification, 2024)

Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. - Daniela Calvetti; Monica Pragliola; Erkki Somersalo (J. Comput. Phys., 2025)

Subspace Splitting Fast Sampling from Gaussian Posterior Distributions of Linear Inverse Problems. - Daniela Calvetti; Erkki Somersalo (CoRR, 2025)

Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective. - Daniela Calvetti; Erkki Somersalo (Comput. Optim. Appl., 2025)

Bayesian dictionary learning estimation of cell membrane permeability from surface pH data. - Alberto Bocchinfuso; Daniela Calvetti; Erkki Somersalo (CoRR, 2025)