Ville Kolehmainen

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Electrical Impedance Tomography Problem With Inaccurately Known Boundary and Contact Impedances

Ville Kolehmainen, Matti Lassas, Petri Ola, 2006, IEEE Transactions on Medical Imaging.

Modeling photon migration in tissues with the coupled radiative transfer equation and diffusion approximation

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2006 .

Tracking of moving interfaces in sedimentation processes using electrical impedance tomography

Ville Kolehmainen, Kyung Youn Kim, Marko Vauhkonen, 2006 .

Bayesian inversion method for 3D dental X-ray imaging

Jari P. Kaipio, Ville Kolehmainen, Matti Lassas, 2007, Elektrotech. Informationstechnik.

Corrigendum to "Incorporating structural prior information and sparsity into EIT using parallel level sets"

Ville Kolehmainen, Simon R. Arridge, Matthias J. Ehrhardt, 2020 .

Method and arrangement for medical X

Ville Kolehmainen, Matti Lassas, Samuli Siltanen, 2003 .

Parameter selection in dynamic contrast-enhanced magnetic resonance tomography pdf

Ville Kolehmainen, Kati Niinimäki, Matti Hanhela, 2019, Mathematical and Numerical Approaches for Multi-Wave Inverse Problems.

Isotropic and anisotropic total variation regularization in electrical impedance tomography

Ville Kolehmainen, Gerardo González, Aku Seppänen, 2017, Comput. Math. Appl..

Calderón's Inverse Problem with an Imperfectly Known Boundary and Reconstruction Up to a Conformal Deformation

Ville Kolehmainen, Matti Lassas, Petri Ola, 2010, SIAM J. Math. Anal..

PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets

Pawel Markiewicz, David Atkinson, Brian F. Hutton, 2016, IEEE Transactions on Medical Imaging.

Beltrami-net: domain-independent deep D-bar learning for absolute imaging with electrical impedance tomography (a-EIT)

Andreas Hauptmann, Ville Kolehmainen, Sarah J. Hamilton, 2018, Physiological measurement.

Motion without correspondence from tomographic projections by Bayesian inversion theory

Ville Kolehmainen, Sami S. Brandt, Sami Sebastian Brandt, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Compensation of Modelling Errors Due to Unknown Domain Boundary in Electrical Impedance Tomography

Jari P. Kaipio, Ville Kolehmainen, Antti Nissinen, 2011, IEEE Transactions on Medical Imaging.

Erratum: Incorporating structural prior information and sparsity into eit using parallel level sets [1] (Inverse Problems and Imaging, (2019), 10.3934/ipi.2019015)

Simon R. Arridge, Ville Kolehmainen, Matthias J. Ehrhardt, 2020 .

Approximation errors and model reduction in three-dimensional diffuse optical tomography.

Ville Kolehmainen, Martin Schweiger, Tanja Tarvainen, 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

Identification of Contact Failures in Multilayered Composites With the Markov Chain Monte Carlo Method

Helcio R. B. Orlande, Jari P. Kaipio, Ville Kolehmainen, 2014 .

Dynamic physiological modeling for functional diffuse optical tomography

David A. Boas, Simon R. Arridge, Jari P. Kaipio, 2006, NeuroImage.

Coupled radiative transfer equation and diffusion approximation

Ville Kolehmainen, Tanja Tarvainen, Jari P. Kaipio, 2005, European Conference on Biomedical Optics.

3D EIT Reconstructions from Electrode Data using Direct Inversion D-bar and Calderon Methods pdf

David Isaacson, Ville Kolehmainen, Peter A. Muller, 2020, ArXiv.

Limited Data X-Ray Tomography Using Nonlinear Evolution Equations

Ville Kolehmainen, Matti Lassas, Samuli Siltanen, 2008, SIAM J. Sci. Comput..

Joint reconstruction in low dose multi-energy CT

Ville Kolehmainen, Samuli Siltanen, Alexander Meaney, 2019, Inverse Problems & Imaging.

Computational calibration method for optical tomography.

Ville Kolehmainen, Antti Vanne, Martin Schweiger, 2004, Applied optics.

Parameter and structure reconstruction in optical tomography

Simon R. Arridge, Ville Kolehmainen, Martin Schweiger, 2008 .

State Estimation with Structural Priors in fMRI

Ville Kolehmainen, Olli Gröhn, Joanna K. Huttunen, 2018, Journal of Mathematical Imaging and Vision.

Model-enforced post-process correction of satellite aerosol retrievals

Neus Sabater, Ville Kolehmainen, Antti Arola, 2020, Atmospheric Measurement Techniques.

Dynamic MRI reconstruction from undersampled data with an anatomical prescan

Julian Rasch, Ville Kolehmainen, Martin Burger, 2017, Inverse Problems.

Nonlinear approach to difference imaging in diffuse optical tomography

Ville Kolehmainen, Tanja Tarvainen, Ilkka Nissilä, 2015, Journal of biomedical optics.

Correction of approximation errors with Random Forests applied to modelling of aerosol first indirect effect

Ville Kolehmainen, Harri Kokkola, Antti Lipponen, 2013 .

Optical Imaging

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2015, Handbook of Mathematical Methods in Imaging.

Approximate marginalization over modelling errors and uncertainties in inverse problems

Jari P. Kaipio, Ville Kolehmainen, J. Kaipio, 2013 .

Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices

Ville Kolehmainen, Stephan Sigg, Janne Salo, 2019, IEICE Trans. Commun..

Multiresolution Parameter Choice Method for Total Variation Regularized Tomography

Ville Kolehmainen, Matti Lassas, Esa Niemi, 2014, SIAM J. Imaging Sci..

Spatial inhomogeneity and regularization in EIT

Ville Kolehmainen, Jari P. Kaipio, Pasi A. Karjalainen, 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

Temporal Huber Regularization for DCE-MRI

Ville Kolehmainen, Marko Vauhkonen, Matti Hanhela, 2020, J. Math. Imaging Vis..

Nonstationary Image Reconstruction in Ultrasonic Transmission Tomography Using Kalman Filter and Dimension Reduction

Guanghui Liang, Ville Kolehmainen, Feng Dong, 2021, IEEE Transactions on Instrumentation and Measurement.

Physiological System Identification with the Kalman Filter in Diffuse Optical Tomography

David A. Boas, Simon R. Arridge, Jari P. Kaipio, 2005, MICCAI.

Parallelized Bayesian inversion for three-dimensional dental X-ray imaging

Jari P. Kaipio, Ville Kolehmainen, Matti Lassas, 2006, IEEE Transactions on Medical Imaging.

Finite Element Approximations for the Radiative Transfer Equation

Jari P. Kaipio, Ville Kolehmainen, Tanja Tarvainen, 2006 .

Data-Driven Regularization Parameter Selection in Dynamic MRI

Ville Kolehmainen, Marko Vauhkonen, Matti Hanhela, 2020, J. Imaging.

Corrigendum to "Incorporating structural prior information and sparsity into EIT using parallel level sets"

Simon R. Arridge, Ville Kolehmainen, Matthias J. Ehrhardt, 2019, Inverse Problems & Imaging.

Three Dimensional Simulation of Electrical Impedance Tomography for Imaging Vocal Folds Within the Human Neck

Ville Kolehmainen, Aku Seppänen, Dong Liu, 2017 .

Reconstruction of Simple Geometric Objects in 3D Optical Tomography Using an Adjoint Technique and a Boundary Element Method

Simon R. Arridge, Ville Kolehmainen, Oliver Dorn, 2008 .

Corrections to linear methods for diffuse optical tomography using approximation error modelling

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2010, Biomedical optics express.

IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2006, April 6-9, 2006, Arlington, USA

Ville Kolehmainen, Matti Lassas, Petri Ola, 2006 .

Construction of anatomy-based priors with anisotropic characteristics with application to electrical impedance tomography

Jari P. Kaipio, Ville Kolehmainen, Erkki Somersalo, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Time-series estimation of biological factors in optical diffusion tomography.

Ville Kolehmainen, Simon Prince, Maria Angela Franceschini, 2003, Physics in medicine and biology.

Correction of Model Reduction Errors in Simulations

Ville Kolehmainen, Harri Kokkola, Antti Lipponen, 2018, SIAM J. Sci. Comput..

Finite Element Solution of the Fokker-Planck Equation for Optical Tomography

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2010 .

Utilising the coupled radiative transfer - diffusion model in diffuse optical tomography

Simon R. Arridge, Ville Kolehmainen, Tanja Tarvainen, 2013, European Conference on Biomedical Optics.

The Inverse Conductivity Problem with an Imperfectly Known Boundary in Three Dimensions

Ville Kolehmainen, Matti Lassas, Petri Ola, 2007, SIAM J. Appl. Math..

Correction of approximation errors with Random Forests applied to modelling of cloud droplet formation

Ville Kolehmainen, Harri Kokkola, Antti Lipponen, 2013 .

The Inverse Conductivity Problem with an Imperfectly Known Boundary

Ville Kolehmainen, Matti Lassas, Petri Ola, 2005, SIAM J. Appl. Math..

Approximation error method can reduce artifacts due to scalp blood flow in optical brain activation imaging

Ville Kolehmainen, Tanja Tarvainen, Simon R Arridge, 2012, Journal of biomedical optics.

Regularization approach to the single trial estimation of multi channel evoked potentials

Jari P. Kaipio, Ville Kolehmainen, Juhani Partanen, 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

Electrical impedance tomography imaging of larynx

Ville Kolehmainen, Samuli Siltanen, Anne-Maria Laukkanen, 2011, MAVEBA.

Utilising Approximation Error Modelling in Linear Reconstruction in Diffuse Optical Tomography

Jari P. Kaipio, Ville Kolehmainen, Tanja Tarvainen, 2012 .

Compensation of optode sensitivity and position errors in diffuse optical tomography using the approximation error approach.

Ville Kolehmainen, Tanja Tarvainen, Simon R Arridge, 2013, Biomedical optics express.

State estimation in dynamic MRI

Ville Kolehmainen, Marko Vauhkonen, Olli Gröhn, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

Bayesian multiresolution method for local X-ray tomography in dental radiology

Ville Kolehmainen, Samuli Siltanen, Kati Niinimäki, 2009, Electronic Imaging.

Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical information

Ville Kolehmainen, Manuel Desco, Simon Arridge, 2011, Biomedical optics express.

Compensation of modeling errors due to unknown domain boundary in diffuse optical tomography.

Ville Kolehmainen, Tanja Tarvainen, Simon R Arridge, 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

Structure-From-Motion Without Correspondence From Tomographic Projections by Bayesian Inversion Theory

Ville Kolehmainen, Sami S. Brandt, Sami Sebastian Brandt, 2007, IEEE Transactions on Medical Imaging.

Nonlinear Difference Imaging Approach to Three-Dimensional Electrical Impedance Tomography in the Presence of Geometric Modeling Errors

Dong Liu, Ville Kolehmainen, Samuli Siltanen, 2016, IEEE Transactions on Biomedical Engineering.

Data-Driven Regularization Parameter Selection in Dynamic MRI

Ville Kolehmainen, Olli Gröhn, Kati Niinimäki, 2021, J. Imaging.

Monitoring hemorrhagic strokes using EIT

Ville Kolehmainen, Nina Forss, Jussi Toivanen, 2021, Bioimpedance and Spectroscopy.

Joint Reconstruction of Conductivity and Velocity in Two-Phase Flows Using Electromagnetic Flow Tomography and Electrical Tomography: A Simulation Study

Ville Kolehmainen, Aku Seppänen, Marko Vauhkonen, 2021, IEEE Transactions on Instrumentation and Measurement.

Finite element approximation of the Fokker–Planck equation for diffuse optical tomography

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2010 .

Identification of Contact Failures in Multi-Layered Composites

Helcio R. B. Orlande, Jari P. Kaipio, Ville Kolehmainen, 2011 .

Estimation of non-stationary region boundaries in EIT—state estimation approach

Arto Voutilainen, Jari P. Kaipio, Ville Kolehmainen, 2001 .

Finite element model for the coupled radiative transfer equation and diffusion approximation

Jari P. Kaipio, Ville Kolehmainen, Tanja Tarvainen, 2006 .

A Bayesian approach and total variation priors in 3D electrical impedance tomography

Computational calibration method for optical tomography.

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2005 .

Bayesian Estimation of Temperature-Dependent Thermophysical Properties and Transient Boundary Heat Flux

Helcio R. B. Orlande, Jari P. Kaipio, Ville Kolehmainen, 2010 .

RECOVERY OF REGION BOUNDARIES OF PIECEWISE CONSTANT COEFFICIENTS OF AN ELLIPTIC PDE FROM BOUNDARY DATA

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 1999 .

Reconstruction of thermal conductivity and heat capacity using a tomographic approach

Helcio R. B. Orlande, Jari P. Kaipio, Ville Kolehmainen, 2007 .

An approximation error approach for compensating for modelling errors between the radiative transfer equation and the diffusion approximation in diffuse optical tomography

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2009 .

A three-dimensional shape estimation approach for tracking of phase interfaces in sedimentation processes using electrical impedance tomography

Ville Kolehmainen, Marko Vauhkonen, O.-P. Tossavainen, 2007 .

3 D shape based reconstruction of experimental data in Diffuse Optical Tomography

Ville Kolehmainen, Martin Schweiger, Simon Arridge, 2009 .

Image reconstruction in diffuse optical tomography using the coupled radiative transport–diffusion model

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2011 .

Electrical impedance tomography problem with inaccurately known boundary and contact impedances

Ville Kolehmainen, Matti Lassas, Petri Ola, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

3D Shape Reconstruction in Optical Tomography Using Spherical Harmonics and BEM

Simon R. Arridge, Ville Kolehmainen, Jan Sikora, 2006 .

Approximate Marginalization of Absorption and Scattering in Fluorescence Diffuse Optical Tomography

Jari P. Kaipio, Ville Kolehmainen, Simon Arridge, 2015 .

Utilizing the radiative transfer equation in optical tomography

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2008 .

Experimental evaluation of 3D electrical impedance tomography with total variation prior

Ville Kolehmainen, Aku Seppänen, Marko Vauhkonen, 2016 .

Three-dimensional reconstruction of shape and piecewise constant region values for optical tomography using spherical harmonic parametrization and a boundary element method

Simon R. Arridge, Ville Kolehmainen, Jan Sikora, 2006 .

Open 2D Electrical Impedance Tomography data archive

Andreas Hauptmann, Ville Kolehmainen, Samuli Siltanen, 2017, 1704.01178.

Linking the radiative transfer equation and the diffusion approximation

Ville Kolehmainen, Marko Vauhkonen, Jari Kaipio, 2002 .

A nonlinear approach to difference imaging in EIT; assessment of the robustness in the presence of modelling errors

Dong Liu, Ville Kolehmainen, Samuli Siltanen, 2015 .

WITHDRAWN: Reconstruction of thermal conductivity and heat capacity using a tomographic approach

Helcio R. B. Orlande, Jari P. Kaipio, Ville Kolehmainen, 2008 .

Recovering boundary shape and conductivity in electrical impedance tomography

Ville Kolehmainen, Matti Lassas, Petri Ola, 2013 .

Reconstruction of subdomain boundaries of piecewise constant coefficients of the radiative transfer equation from optical tomography data

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2006 .

Compensation of errors due to incorrect model geometry in electrical impedance tomography

Jari P. Kaipio, Ville Kolehmainen, A Nissinen, 2010 .

Free‐surface and admittivity estimation in electrical impedance tomography

Ville Kolehmainen, Marko Vauhkonen, Olli-Pekka Tossavainen, 2006 .

State estimation and inverse problems in electrical impedance tomography : observability , convergence and regularization

Arto Voutilainen, Ville Kolehmainen, Aku Seppänen, 2015 .

Estimation of conductivity changes in a region of interest with electrical impedance tomography

Dong Liu, Ville Kolehmainen, Samuli Siltanen, 2014, 1403.6587.

APPROXIMATE MARGINALIZATION OF UNKNOWN SCATTERING IN QUANTITATIVE PHOTOACOUSTIC TOMOGRAPHY

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2014 .

Statistical inversion of aerosol size distribution data

Arto Voutilainen, Jari P. Kaipio, Ville Kolehmainen, 2000 .

Approximation Error Approach for Compensating Modelling Errors in Optical Tomography

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2010 .

Statistical inversion of aerosol size measurement data

Arto Voutilainen, Jari P. Kaipio, Ville Kolehmainen, 2001 .

3D shape based reconstruction of experimental data in Diffuse Optical Tomography.

Ville Kolehmainen, Martin Schweiger, Simon Arridge, 2009, Optics express.

Approximation Errors and Model Reduction in Three-Dimensional Diffuse Optical Tomography

Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, 2012 .

Hybrid radiative-transfer-diffusion model for optical tomography.

Ville Kolehmainen, Tanja Tarvainen, Marko Vauhkonen, 2005, Applied optics.