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)

Variable order spherical harmonic expansion scheme for the radiative transport equation using finite elements. - P. Surya Mohan; Tanja Tarvainen; Martin Schweiger; Aki Pulkkinen; Simon R. Arridge (J. Comput. Phys., 2011)

Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography. - Tanja Tarvainen; Aki Pulkkinen; Ben T. Cox; Jari P. Kaipio; Simon R. Arridge (IEEE Trans. Medical Imaging, 2013)

Finite element approximation of the radiative transport equation in a medium with piece-wise constant refractive index. - Ossi Lehtikangas; Tanja Tarvainen; Arnold D. Kim; Simon R. Arridge (J. Comput. Phys., 2015)

Optical Imaging. - Simon R. Arridge; Jari P. Kaipio; Ville Kolehmainen; Tanja Tarvainen (Handbook of Mathematical Methods in Imaging, 2015)

Efficient Inclusion of Total Variation Type Priors in Quantitative Photoacoustic Tomography. - Antti Hannukainen; Nuutti Hyvönen; Helle Majander; Tanja Tarvainen (SIAM J. Imaging Sci., 2016)

Direct Estimation of Optical Parameters From Photoacoustic Time Series in Quantitative Photoacoustic Tomography. - Aki Pulkkinen; Ben T. Cox; Simon R. Arridge; Hwan Goh; Jari P. Kaipio; Tanja Tarvainen (IEEE Trans. Medical Imaging, 2016)

The D-Bar Method for Diffuse Optical Tomography: A Computational Study. - Janne P. Tamminen; Tanja Tarvainen; Samuli Siltanen (Exp. Math., 2017)

Image Reconstruction with Reliability Assessment in Quantitative Photoacoustic Tomography. - Niko Hänninen; Aki Pulkkinen; Tanja Tarvainen (J. Imaging, 2018)

On Learned Operator Correction. - Sebastian Lunz; Andreas Hauptmann; Tanja Tarvainen; Carola-Bibiane Schönlieb; Simon R. Arridge (CoRR, 2020)

Perturbation Monte Carlo Method for Quantitative Photoacoustic Tomography. - Aleksi A. Leino; Tuomas Lunttila; Meghdoot Mozumder; Aki Pulkkinen; Tanja Tarvainen (IEEE Trans. Medical Imaging, 2020)

Modeling of Errors Due to Uncertainties in Ultrasound Sensor Locations in Photoacoustic Tomography. - Teemu Sahlström; Aki Pulkkinen; Jenni Tick; Jarkko Leskinen; Tanja Tarvainen (IEEE Trans. Medical Imaging, 2020)

On Learned Operator Correction in Inverse Problems. - Sebastian Lunz; Andreas Hauptmann; Tanja Tarvainen; Carola-Bibiane Schönlieb; Simon R. Arridge (SIAM J. Imaging Sci., 2021)

Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography. - Anssi Manninen; Meghdoot Mozumder; Tanja Tarvainen; Andreas Hauptmann (CoRR, 2022)

A Model-Based Iterative Learning Approach for Diffuse Optical Tomography. - Meghdoot Mozumder; Andreas Hauptmann; Ilkka Nissilä; Simon R. Arridge; Tanja Tarvainen (IEEE Trans. Medical Imaging, 2022)

Model-based reconstructions for quantitative imaging in photoacoustic tomography. - Andreas Hauptmann; Tanja Tarvainen (CoRR, 2023)

Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography. - Teemu Sahlström; Tanja Tarvainen (SIAM J. Imaging Sci., 2023)

Fast reconstruction approaches for photoacoustic tomography with smoothing Sobolev/Matérn priors. - Jaakko Kultima; Ronny Ramlau; Teemu Sahlström; Tanja Tarvainen (CoRR, 2025)