Publications

Journal articles

2023

  1. H. Alshoufi
    Viscous Effect on Solitary Kelvin Wave in Open Cylindrical Channel under Precession
    International Journal of Applied and Computational Mathematics, 9: 77, 2023.
  2. L.E. Dalton, M. Räsänen, A. Voss, A. Seppänen, M. Pourghaz
    Investigating the Use of Electrical Capacitance Tomography to Image Rapid Transient Moisture Flow Through Cracks in Concrete
    Cement and Concrete Composites, 140: 105070, 2023.
  3. E. Koponen, J. Leskinen, T. Tarvainen, A. Pulkkinen
    Background-oriented schlieren sensitivity in terms of geometrical parameters of measurement setup
  4. M. Niskanen, T. Lähivaara
    COMPOSTI: A Python-based program for seismic trans-dimensional inversion
    SoftwareX, 21: 101298, 2023.
  5. T. Ojala, H. Ahmed, P. Kuusela, A. Seppänen, J. Punkki
    Monitoring of concrete segregation using AC impedance spectroscopy
    Construction and Building Materials, 384: 131453, 2023.
  6. V. Pulkki, R. Daugintis, T. Lähivaara, A. Öyry
    Perceived difficulty of upwind shouting is a misconception explained by convective attenuation effect
    Scientific Reports, 13: 5240, 2023.
  7. T. Sahlström, T. Tarvainen
    Utilizing variational autoencoders in the Bayesian inverse problem of photoacoustic tomography
    SIAM Journal on Imaging Sciences, 16 (1): 89-110, 2023.
  8. M. Ziaul Arif, A. Seppänen, V. Kolehmainen, M. Vauhkonen
    Dual-Modal Electrical Imaging of Two-Phase Flow — Experimental Evaluation of the State Estimation Approach
    Sensors, 70: 1010017, 2023.
  9. W. Xu, J. Leskinen, T. Sahlström, E. Happonen, T. Tarvainen, V.-P. Lehto
    Assembly of fluorophore J-aggregates with nanospacer onto mesoporous nanoparticles for enhanced photoacoustic imaging
    Photoacoustics, 33: 100552, 2023.

2022

  1. J.-F. Aubry, O. Bates, C. Boehm, K. B. Pauly, D. Christensen, C. Cueto, P. Gélat, L. Guasch, J. Jaros, Y. Jing, R. Jones, N. Li, P. Marty, H. Montanaro, E. Neufeld, S. Pichardo, G. Pinton, A. Pulkkinen, A. Stanziola, A. Thielscher, B. Treeby, E. van ‘t Wout
    Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models
    Journal of the Acoustical Society of America, 152 (2): 1003-1019, 2022.
  2. J. Cuenca, P. Göransson, L. De Ryck, T. Lähivaara
    Deterministic and statistical methods for the characterisation of poroelastic media from multi-observation sound absorption measurements
    Mechanical Systems and Signal Processing, 163: 108186, 2022.
  3. U. Hampel, L. Badout, R. Banasiak, E. Schleicher, M. Soleimani, T. Wondrak, M. Vauhkonen, T. Lähivaara, C. Tan, B. Hoyle, A. Penn
    A Review on fast tomographic imaging techniques and their potential application in industrial process control
    Sensors, 22(6): 2309, 2022.
  4. M. Hosseini, A. Kaasinen, G. Link, M. A. Shoorehdeli, T. Lähivaara, M. Vauhkonen
    Tomography-assisted control for the microwave drying process of polymer foams
    Journal of Process Control, 114: 16-28, 2022.
  5. N. Hänninen, A. Pulkkinen, S. Arridge, T. Tarvainen
    Adaptive stochastic Gauss–Newton method with optical Monte Carlo for quantitative photoacoustic tomography
    Journal of Biomedical Optics, 27 (8): 083013, 2022.
  6. J. Jauhiainen, A. Seppänen, T. Valkonen
    Mumford-Shah regularization in electrical impedance tomography with complete electrode model
    Inverse Problems, 38: 065004 (35pp), 2022.
  7. L. Mehtätalo, A. Yazgi, K. Kansanen, P. Packalen, T. Lähivaara, M. Maltamo, M. Myllymäki, A. Penttinen
    Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model
    International Journal of Applied Earth Observation and Geoinformation, 112: 102920, 2022.
  8. M. Mozumder, A. Hauptmann, I. Nissilä, S. R. Arridge, T. Tarvainen
    A Model-based iterative learning approach for diffuse optical tomography
    IEEE Transactions on Medical Imaging, 41 (5): 1289-1299, 2022.
  9. M. Mozumder, J. Leskinen, T. Tarvainen
    Utilising nanosecond sources in diffuse optical tomography
    Measurement Science and Technology, 34: 025901, 2022.
  10. K. Kasanen, P. Packalen, T. Lähivaara, A. Seppänen, J. Vauhkonen, M. Maltamo, L. Mehtätalo
    Refining and evaluating a Horvitz–Thompson-like stand density estimator in individual tree detection based on airborne laser scanning
    Canadian Journal of Forest Research, 52 (4), 2022.
  11. E. Koponen, J. Leskinen, T. Tarvainen, A. Pulkkinen
    Nonlinear estimation of pressure projection of ultrasound fields in background-oriented schlieren imaging
    Journal of the Optical Society of America A, 39 (4): 552-562, 2022.
  12. A. Lipponen, J. Reinvall, A. Väisänen, H. Taskinen, T. Lähivaara, L. Sogacheva, P. Kolmonen, K. Lehtinen, A. Arola, V. Kolehmainen
    Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product
    Atmospheric Measurement Techniques 15 (4): 895-914, 2022.
  13. T. Lähivaara, P. Monk, V. Selgas
    The Time domain linear sampling method for determining the shape of multiple scatterers using electromagnetic waves
    Computational Methods in Applied Mathematics, 22 (4): 889-913, 2022.
  14. A. Omrani, R. Yadav, G. Link, T. Lähivaara, M. Vauhkonen, J. Jelonnek
    Multistatic uniform diffraction tomography derived structural-prior in Bayesian inversion framework for microwave tomography
    IEEE Transactions on Computational Imaging, 8: 986-995, 2022.
  15. T. Salminen, K.E.J. Lehtinen, J.P. Kaipio, V. Russell, A. Seppänen
    Application of finite element method to General Dynamic Equation of Aerosols – comparison with classical numerical approximations
    Journal of Aerosol Science, 160: 105902, 2022.
  16. H. Taskinen, A. Väisänen, L. Hatakka, T. H. Virtanen, T. Lähivaara, A. Arola, V. Kolehmainen, A. Lipponen
    High-Resolution Post-Process Corrected Satellite AOD
    Geophysical Research Letters 49 (18): e2022GL099733, 2022.
  17. R. Yadav, A. Omrani, G. Link, M. Vauhkonen, T. Lähivaara
    Correlated sample-based prior in Bayesian inversion framework for microwave tomograph
    IEEE Transactions on Antennas and Propagation, 70 (7): 5860-5872, 2022.

2021

  1. M. Hosseini, A. Kaasinen, G. Link, T. Lähivaara, M. Vauhkonen
    Electrical Capacitance Tomography to Measure Moisture Distribution of Polymer Foam in a Microwave Drying Process
    IEEE Sensors Journal, 21 (16): 18101-18114, 2021.
  2. M. Hosseini, A. Kaasinen, G. Link. T. Lähivaara, M. Vauhkonen
    LQR Control of Moisture Distribution in Microwave Drying Process Based on a Finite Element Model of Parabolic PDEs
    IFAC-PapersOnLine, 53 (2): 11470-11476, 2021.
  3. M. Hosseini, A. Kaasinen, M. A. Shoorehdeli, G. Link, T. Lähivaara, M. Vauhkonen
    System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
    Sensors, 21 (21): 7170, 2021.
  4. J. Jauhiainen, M. Pour-Ghaz, T. Valkonen, A. Seppänen
    Non-planar electrical resistance tomography -based sensing skins for structural health monitoring
    Computer-Aided Civil and Infrastructure Engineering, 36: 1488–1507, 2021.
  5. J. Koponen, T. Lähivaara, J. Kaipio, M. Vauhkonen
    Model reduction in acoustic inversion by artificial neural network
    The Journal of the Acoustical Society of America, 150 (5): 3435, 2021.
  6. P. Kuusela, M. Pour-Ghaz, R. Pini, A. Voss, A. Seppänen
    Imaging of reactive transport in fractured cement-based materials with X-ray CT
    Cement and Concrete Composites, 124: 104211, 2021.
  7. M. Lehti-Polojärvi, M. Räsänen, L. Viiri, H. Vuorenpää, S. Miettinen, A. Seppänen, J. Hyttinen
    Retrieval of the Conductivity Spectrum of Tissues in-vitro with Novel Multimodal Tomography
    Physics in Medicine & Biology, 66: 205016, 2021.
  8. T. Nissinen, S. Suorant, T. Saavalainen, R. Sund, O. Hurskainen, T. Rikkonen, H. Kröger, T. Lähivaaraa, S. P.Väänänen
    Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning
    Bone Reports, 14: 101070, 2021.
  9. A. Omrani, R. Yadav, G. Link, T. Lähivaara, M. Vauhkonen, J. Jelonnek
    An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System
    Sensors, 21(21): 7409, 2021.
  10. M. Ozon, A. Seppänen, J.P. Kaipio, K.E.J. Lehtinen
    Retrieval of process rate parameters in the general dynamic equation for aerosols using Bayesian state estimation
    Geoscientific Model Development, 14: 3715–3739, 2021.
  11. M. Ozon, D. Stolzenburg, L. Dada, A. Seppänen, K.E.J. Lehtinen
    Aerosol formation and growth rates from chamber experiments using Kalman smoothing
    Atmospheric Chemistry and Physics, 21:12595–12611, 2021.
  12. T. Sahlström, A. Pulkkinen, J. Leskinen, T. Tarvainen
    Computationally Efficient Forward Operator for Photoacoustic Tomography Based on Coordinate Transformations
    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68 (6): 2172-2182, 2021.
  13. R. Yadav, A. Omrani, G. Link, M. Vauhkonen, T. Lähivaara
    Microwave Tomography Using Neural Networks for Its Application in an Industrial Microwave Drying System
    Sensors, 21 (20): 6919, 2021.
  14. Y. Zhang, A. Omrani, R. Yadav, M. Fjeld
    Supporting Visualization Analysis in Industrial Process Tomography by Using Augmented Reality – A Case Study of an Industrial Microwave Drying System
    Sensors, 21(19): 6515, 2021.
  15. M. Ziaul Arif, O. Lehtikangas, A. Seppänen, V. Kolehmainen, M. Vauhkonen
    Joint reconstruction of conductivity and velocity in two-phase flows using electromagnetic flow tomography and electrical tomography
    IEEE Transactions on Instrumentation & Measurement, 70, pp. 1-17, Art no. 1010017, 2021.

2020

  1. R. Gopalakrishnan, M. Kukkonen, A. Seppänen, P. Packalen
    Utility of Image Point Cloud Data towards Generating Enhanced Multitemporal Multisensor Land Cover Maps
    International Journal of Applied Earth Observations and Geoinformation, 86: 102012, 2020.
  2. J. Jauhiainen, P. Kuusela, A. Seppänen, T. Valkonen
    Relaxed Gauss—Newton Methods with Applications to Electrical Impedance Tomography
    SIAM Journal on Imaging Sciences, 13(3), 1415-1445, 2020.
  3. A. Leino, T. Lunttila, M. Mozumder, A. Pulkkinen, T. Tarvainen
    Perturbation Monte Carlo method for quantitative photoacoustic tomography
    IEEE Transactions on Medical Imaging 39 (10): 2985-2995, 2020.
  4. S. Lunz, A. Hauptmann, T. Tarvainen, C.-B. Schönlieb, S. Arridge
    On Learned Operator Correction in Inverse Problems
    SIAM Journal on Imaging Sciences, 14 (1): 92-127, 2021.
  5. T. Lähivaara, R. Yadav, G. Link, M. Vauhkonen
    Estimation of moisture content distribution in porous foam using microwave tomography with neural networks
    IEEE Transactions on Computational Imaging 6: 1351-1361, 2020.
  6. N Hänninen, A. Pulkkinen, A. Leino, T. Tarvainen
    Application of diffusion approximation in quantitative photoacoustic tomography in the presence of low-scattering regions
    Journal of Quantitative Spectroscopy and Radiative Transfer 250: 107065, 2020.
  7. M. Mozumder, T. Tarvainen
    Time-domain diffuse optical tomography utilizing truncated Fourier series approximation
    Journal of the Optical Society of America A 37 (2): 182-191, 2020.
  8. M. Mozumder, T. Tarvainen,
    Evaluation of temporal moments and Fourier transformed data in time-domain diffuse optical tomography
    Journal of the Optical Society of America A, 37(12): 1845-1856, 2020.
  9. K. Muhumuza
    A Feasibility Study on Monitoring Crustal Structure Variations by Direct Comparison of Surface Wave Dispersion Curves from Ambient Seismic Noise
    International Journal of Geophysics 2020: 5269537, 2020.
  10. K. Muhumuza, L. Roininen, J. M. J. Huttunen, T. Lähivaara
    A Bayesian-based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media
    Inverse Problems 36 (7): 075010, 2020.
  11. T. Sahlström, A. Pulkkinen, J. Tick, J. Leskinen, T. Tarvainen
    Modeling of Errors due to Uncertainties in Ultrasound Sensor Locations in Photoacoustic Tomography
    IEEE Transactions on Medical Imaging 39 (6): 2140-2150, 2020.
  12. J. Tick, A. Pulkkinen, T. Tarvainen
    Modelling of errors due to speed of sound variations in photoacoustic tomography using a Bayesian framework
    Biomedical Physics & Engineering Express 6: 015003, 2020.
  13. A. Voss, M. Pour-Ghaz, M. Vauhkonen, A. Seppänen
    Retrieval of the saturated hydraulic conductivity of cement-based material using electrical capacitance tomography
    Cement and Concrete Composites, 112: 103639, 2020.
  14. W. Xu, J. Leskinen, J. Tick, E. Happonen, T. Tarvainen, V.-P. Lehto
    Black Mesoporous Silicon as a Contrast Agent for LED-Based 3D Photoacoustic Tomography
    ACA Applied Materials & Interfaces 12: 5456-5461, 2020.

2019

  1. P. Göransson, J. Cuenca, T. Lähivaara
    Parameter estimation in modelling frequency response of coupled systems using a stepwise approach
    Mechanical Systems and Signal Processing 126: 161-175, 2019.
  2. J. P. Kaipio, T. Huttunen, T. Luostari, T.Lähivaara, P. B. Monk
    A Bayesian approach to improving the Born approximation for inverse scattering with high-contrast materials
    Inverse Problems 35 (8): 084001, 2019.
  3. K. Kansanen, J. Vauhkonen, T. Lähivaara, A. Seppänen, M. Maltamo, L. Mehtätalo
    Estimating forest stand density and structure using Bayesian individual tree detection, stochastic geometry, and distribution matching
    ISPRS Journal of Photogrammetry and Remote Sensing 152: 66-78, 2019.
  4. E. Koponen, J. Leskinen, T. Tarvainen, A. Pulkkinen
    Acoustic pressure field estimation methods for synthetic schlieren tomography
    The Journal of the Acoustical Society of America 145 (4): 2470-2479, 2019.
  5. M. J. Kortelainen, T. M. Koivumäki, M. J. Vauhkonen, M. A. Hakulinen
    Effect of respiratory motion on cardiac defect contrast in myocardial perfusion SPECT: a physical phantom study
    Annals of Nuclear Medicine 33 (5): 305-316, 2019.
  6. M. J. Kortelainen, T. M. Koivumäki, M. J. Vauhkonen, M. A. Hakulinen
    Time-modified OSEM algorithm for more robust assessment of left ventricular dyssynchrony with phase analysis in ECG-gated myocardial perfusion SPECT
    EJNMMI Physics 6: 30, 2019.
  7. A. A. Leino, A. Pulkkinen, T. Tarvainen
    ValoMC: a Monte Carlo software and MATLAB toolbox for simulating light transport in biological tissue
    OSA Continuum 2 (3): 957-972, 2019.
  8. T. Lähivaara, A. Malehmir, A. Pasanen, L. Kärkkäinen, J. M. J. Huttunen, J. S. Hesthaven
    Estimation of groundwater storage from seismic data using deep learning
    Geophysical Prospecting 67 (8): 2115-2126, 2019.
  9. M. Niskanen, O. Dazel, J.-P. Groby, A. Duclos, T. Lähivaara
    Characterising poroelastic materials in the ultrasonic range – A Bayesian approach
    Journal of Sound and Vibration 456: 30-48, 2019.
  10. M. Niskanen, A. Duclos, O. Dazel, J.-P. Groby, J. Kaipio, T. Lähivaara
    Estimating the material parameters of an inhomogeneous poroelastic plate from ultrasonic measurements in water
    The Journal of the Acoustical Society of America 146 (4): 2596-2607, 2019.
  11. M. Vauhkonen, A. Hänninen, J. Jauhiainen, O. Lehtikangas
    Multimodal imaging of multiphase flows with electromagnetic flow tomography and electrical tomography
    Measurement Science and Technology 30 (9): 094001, 2019.
  12. P. Varvia, T. Lähivaara, M. Maltamo, P. Packalen, A. Seppänen
    Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data
    IEEE Transactions on Geoscience and Remote Sensing 57 (6): 3361-3369, 2019.
  13. A. Voss, P. Hosseini, M. Vauhkonen, M. Pour-Ghaz, A. Seppänen
    Three-dimensional electrical capacitance tomography – a tool for characterizing moisture transport properties of cement-based materials
    Materials & Design, 181: 107967, 2019.

2018

  1. C. Brandt, A. Seppänen
    Recovery from Errors Due to Domain Truncation in Magnetic Particle Imaging: Approximation Error Modeling Approach
    Journal of Mathematical Imaging and Vision 60 (8): 11196-1208, 2018.
  2. D. V. Gradov, G. Gonzalez, M. Vauhkonen, A. Laari, T. Koiranen
    Experimental investigation of reagent feeding point location in a semi-batch precipitation process
    Chemical Engineering Science, 190 (23): 361-369, 2018.
  3. J. M. J. Huttunen, J. P. Kaipio, H. Haario
    Approximation error approach in spatiotemporally chaotic models with application to Kuramoto–Sivashinsky equation
    Computational Statistics & Data Analysis, 123: 13-31, 2018.
  4. N. Hänninen, A. Pulkkinen, T. Tarvainen
    Image reconstruction with reliability assessment in quantitative photoacoustic tomography
    Journal of Imaging, 4 (12): 148, 2018.
  5. J. Joutsensaari, M. Ozon, T. Nieminen, S. Mikkonen, T. Lähivaara, S. Decesari, M. C. Facchini, A. Laaksonen, K. E. J. Lehtinen
    Identification of new particle formation events with deep learning
    Atmospheric Chemistry and Physics, 18: 9597-9615, 2018.
  6. M. Lehti-Polojärvi, O. Koskela, A. Seppänen, E. Figueiras, J. Hyttinen
    Rotational electrical impedance tomography using electrodes with limited surface coverage provides window for multimodal sensing
    Measurement Science and Technology, 29 (2): 025401, 2018.
  7. D. Liu, Y. Zhao, A. K. Khambampati, A. Seppänen, J. Du
    A parametric level set method for imaging multi-phase conductivity using electrical impedance tomography
    IEEE Transactions on Computational Imaging, 4: 552 – 561, 2018.
  8. T. Luostari, T. Lähivaara, P. Packalen, A. Seppänen
    Bayesian approach to single-tree detection in airborne laser scanning – use of training data for prior and likelihood modeling
    Journal of Physics: Conference Series, 1047: 012008, 2018.
  9. T. Lähivaara, L. Kärkkäinen, J. M. J. Huttunen, J. S. Hesthaven
    Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography
    The Journal of the Acoustical Society of America, 143 (2): 1148-1158, 2018.
  10. K. Muhumuza, M. Jacobsen, T. Luostari, T. Lähivaara
    Seismic monitoring of CO2 injection using a distorted Born T-matrix approach in acoustic approximation
    Journal of Seismic Exploration, 27 (5): 403-431, 2018.
  11. R. Nicholson, N. Petra, J.P. Kaipio
    Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field
    Inverse Problems, 34 (11): 115005, 2018.
  12. V. Pulkki, T. Lähivaara, I. Huhtakallio
    Effects of flow gradients on directional radiation of human voice
    The Journal of the Acoustical Society of America, 143 (2): 1173-1181, 2018.
  13. R. Rashetnia, O. Khalaf Alla, G. Gonzalez-Berrios, A. Seppänen, M. Pour-Ghaz
    Electrical Resistance Tomography Based Sensing Skin with Internal Electrodes for Crack Detection in Large Structures
    Materials Evaluation, 76: 1405-1413, 2018.
  14. P. Raumonen, T. Tarvainen
    Segmentation of vessel structures from photoacoustic images with reliability assessment
    Biomedical Optics Express, 9 (7): 2887-2904, 2018.
  15. D. Smyl, M. Pour-Ghaz, A. Seppänen
    Detection and reconstruction of complex structural cracking patterns with electrical imaging
    NDT & E International, 99: 123-133, 2018.
  16. J. Tick, A. Pulkkinen, F. Lucka, R. Ellwood, B. T. Cox, J. P. Kaipio, S. R. Arridge, T. Tarvainen
    Three dimensional photoacoustic tomography in Bayesian framework
    The Journal of the Acoustic Society of America, 144 (4): 2061-2071, 2018.
  17. P. Varvia, M. Rautiainen, A. Seppänen
    Bayesian estimation of seasonal course of canopy leaf area index from hyperspectral satellite data
    Journal of Quantitative Spectroscopy and Radiative Transfer, 208: 19-28, 2018
  18. A. Voss, N. Hänninen, M. Pour-Ghaz, M. Vauhkonen, A. Seppänen
    Imaging of two-dimensional unsaturated moisture flows in uncracked and cracked cement-based materials using electrical capacitance tomography
    Materials and Structures 51:68, 2018.

2017

  1. M. Han, G. González, M. Vauhkonen, A. Laari, T. Koiranen
    Local gas distribution and mass transfer characteristics in an annulus-rising airlift reactor with non-Newtonian fluid
    Chemical Engineering Journal, 308: 929–939, 2017.
  2. B. Gong, B. Schullcke, S. Krieger-Ziolek, M. Vauhkonen, G. Wolf, U. Mueller-Lisse, K. Moeller
    EIT imaging regularization based on spectral graph wavelets
    IEEE Transactions on Medical Imaging, 2017
  3. G. González, V. Kolehmainen, A. Seppänen
    Isotropic and anisotropic total variation regularization in electrical impedance tomography
    Computers and Mathematics with Applications, 74 (3): 564-576, 2017
  4. D. V. Gradov, G. González, M. Vauhkonen, A. Laari, T. Koiranen
    Experimental and numerical study of multiphase mixing hydrodynamics in batch stirred tank applied to ammoniacal thiosulphate leaching of gold
    Journal of Chemical Engineering & Process Technology, 8 (3), 2017
  5. J. M. J. Huttunen, J. Räisänen, A. Nissinen, A. Lipponen, V. Kolehmainen
    Cross-validation analysis of bias models in Bayesian multi-model projections of climate
    Climate Dynamics, 48 (5-6): 1555-1570, 2017
  6. M. J. Kortelainen, T. M. Koivumäki, M. J. Vauhkonen, M. K. Hedman, S. T. J. Kärkkäinen, J. N. Quintero,, M. A. Hakulinen
    Respiratory Motion Compensation with Dual Gating Approach in Myocardial Perfusion SPECT: Effect on Left Ventricular Functional Parameters
    Journal of Nuclear Cardiology, 2017
  7. O. Lehtikangas, M. Vauhkonen
    Correlated noise and prior models in electromagnetic flow tomography
    Measurement Science and Technology, 28 (5): 054007, 2017
  8. O. Lehtikangas, M. Vauhkonen
    Optimal coil currents in electromagnetic flow tomography
    IEEE Sensors Journal, 2017
  9. D. Liu, V. Kolehmainen, A. Seppänen
    Three dimensional simulation of electrical impedance tomography for imaging vocal folds within the human neck
    Journal of Medical Imaging and Health Informatics, 7 (7): 1509-1516, 2017
  10. M. Niskanen, J.-P. Groby, A. Duclos, O. Dazel, J. C. Le Roux, N. Poulain, T. Huttunen, T. Lähivaara
    Deterministic and statistical characterization of rigid frame porous materials from impedance tube measurements
    Journal of the Acoustical Society of America, 142 (4): 2407, 2017
  11. O. Nykänen, A. Pulkkinen, T. Tarvainen
    Quantitative photoacoustic tomography augmented with surface light measurements
    Biomedical Optics Express, 8 (10): 4380-4395, 2017
  12. A. Pulkkinen, J. J. Leskinen, A. Tiihonen
    Ultrasound field characterization using synthetic schlieren tomography
    Journal of the Acoustical Society of America, 141 (6): 4600-4609, 2017
  13. R. Rashetnia, M. Hallaji, D. Smyl, A. Seppänen, M. Pour-Ghaz
    Detection and localization of changes in two-dimensional temperature distributions by electrical resistance tomography
    Smart Materials and Structures, 26 (11): 115021, 2017
  14. J. Seppälä, A. Voutilainen, J. Heikkilä, M. Vauhkonen
    Surface doses of flattening filter free beams with volumetric modulated arc therapy dose delivery for breast cancer
    Physics and Imaging in Radiation Oncology, 2: 17-22, 2017
  15. A. Seppänen, M. Hallaji, M. Pour-Ghaz
    A functionally layered sensing skin for the detection of corrosive elements and cracking
    Structural Health Monitoring, 16: 215–224, 2017
  16. D. Smyl, R. Rashetnia, A. Seppänen, M. Pour-Ghaz
    Can electrical Impedance Tomography be used for imaging unsaturated moisture flow in cement-based materials with discrete cracks?
    Cement and Concrete Research, 91: 61-72, 2017.
  17. M. Storath, C. Brandt, M. Hofmann, T. Knopp, J. Salamon, A. Weber, A. Weinmann
    Edge preserving and noise reducing reconstruction for magnetic particle imaging
    IEEE Transactions on Medical Imaging, 36: 74-85, 2017.
  18. J. Tamminen, T. Tarvainen, S. Siltanen
    The D-bar Method for Diffuse Optical Tomography: a computational study
    Experimental Mathematics, 26 (2): 225-240, 2017
  19. J.M. Toivanen, T. Tarvainen, J.M.J. Huttunen, T. Savolainen, A. Pulkkinen, H.R.B. Orlande, J.P. Kaipio, V. Kolehmainen
    Thermal tomography utilizing truncated Fourier series approximation of the heat diffusion equation
    International Journal of Heat and Mass Transfer, 108: 860–867, 2017.
  20. P. Varvia, T. Lähivaara, M. Maltamo, P. Packalén, T. Tokola, A. Seppänen
    Uncertainty quantification in ALS-based species-specific forest inventory
    IEEE Transactions on Geoscience and Remote Sensing, 55: 1671 – 1681, 2017
  21. P. Varvia, M. Rautiainen, A. Seppänen
    Modeling uncertainties in estimation of canopy LAI from hyperspectral remote sensing data – A Bayesian approach
    Journal of Quantitative Spectroscopy and Radiative Transfer, 191: 19-29, 2017
  22. M. Vauhkonen, A. Hänninen, O. Lehtikangas
    A measurement device for electromagnetic flow tomography
    Measurement Science and Technology, 29 (1): 015401, 2017
  23. N. F. D. Ward, T. Lähivaara, S. Eveson
    A discontinuous Galerkin method for poroelastic wave propagation: The two-dimensional case
    Journal of Computational Physics, 350: 690-727, 2017
  24. V-.V Wettenhovi, V. Kolehmainen, Olli Gröhn, Joanna Huttunen, Mikko Kettunen, M. Vauhkonen
    State estimation with structural priors in fMRI
    Journal of Mathematical Imaging and Vision, 2017

2016

  1. I. Ardekani, J.P. Kaipio, A. Nasiri, H. Sharifadeh, W. Abdulla
    A statistical inverse problem approach to online secondary path modeling in active noise control
    IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24: 54-64, 2016.
  2. G. del Muro González, J. Huttunen, V. Kolehmainen, A. Seppänen and M. Vauhkonen
    Experimental evaluation of 3D electrical impedance tomography with total variation prior
    Inverse Problems in Science & Engineering, 24(8): 1411-1431, 2016.
  3. M. J. Ehrhardt, P. Markiewicz, M. Liljeroth, A. Barnes, V. Kolehmainen, J. S. Duncan, L. Pizarro, D. Atkinson, B. F. Hutton, S. Ourselin, K. Thielemans and S. R. Arridge
    PET Reconstruction with an Anatomical MRI Prior using Parallel Level Sets
    IEEE Transactions on Medical Imaging, 35(9): 2189.2199, 2016.
  4. A. Hannukainen, N. Hyvönen, H. Majander and T. Tarvainen
    Efficient inclusion of total variation type priors in quantitative photoacoustic tomography
    SIAM Journal on Imaging Science, 9(3): 1132-1153, 2016.
  5. J.M.J. Huttunen, M. J., Turunen, J.T.J., Honkanen, J. Töyräs and J.S. Jurvelin
    Estimation of Systematic and Spatially Correlated Components of Random Signals from Repeated Measurements: Application to Contrast Enhanced Computer Tomography Measurements
    SIAM Journal on Scientific Computing, 38(1): B77-B99, 2016.
  6. J. M. J. Huttunen, J. Räisänen, A. Nissinen, A. Lipponen, V. Kolehmainen
    Crossvalidation analysis of bias models in Bayesian multi-model projections of climate
    Climate Dynamics, 2016
  7. K. Kansanen, J. Vauhkonen, T. Lähivaara, L. Mehtätalo
    Stand density estimators based on individual tree detection and stochastic geometry
    Canadian Journal of Forest Research, 46: 1359-1366, 2016.
  8. A. Koulouri, V. Rimpilainen, M. Brookes, J.P. Kaipio
    Compensation of domain modelling errors in the inverse source problem of the Poisson equation: Application in electroencephalographic imaging
    Applied numerical mathematics, 106: 24-36, 2016.
  9. O. Lehtikangas, K. Karhunen and M. Vauhkonen
    Reconstruction of velocity fields in electromagnetic flow tomography
    Philosophical Transactions of the Royal Society A, 374: 20150334, 2016.
  10. D. Liu, V. Kolehmainen, S. Siltanen, A-M Laukkanen and A. Seppänen
    Non-linear difference imaging approach to three-dimensional electrical impedance tomography in the presence of geometric modelling errors
    IEEE Transactions on Biomedical Engineering, 63(9): 1956–1965, 2016.
  11. M. Mozumder, T. Tarvainen, S. R. Arridge, J. P. Kaipio, C. D’Andrea and V. Kolehmainen
    Approximate marginalization of absorption and scattering in fluorescence diffuse optical tomography
    Inverse Problems and Imaging, 10(1): 227-246, 2016.
  12. A. Nissinen, J. P. Kaipio, M. Vauhkonen and V. Kolehmainen
    Contrast enhancement in EIT imaging of the brain
    Physiological Measurement, 37: 1-24, 2016.
  13. K. Niinimäki, M. Lassas, K. Hämäläinen, A. Kallonen, V. Kolehmainen, E. Niemi, S. Siltanen
    Multiresolution parameter choice for total variation regularized tomography
    SIAM J. Imaging Science, 9 (3): 938-974, 2016.
  14. A. Pulkkinen, B. T. Cox, S. R. Arridge, H. Goh, J. P. Kaipio and T. Tarvainen
    Direct estimation of optical parameters from photoacoustic time series in quantitative photoacoustic tomography
    IEEE Transactions on Medical Imaging, 35(11): 2497-2508, 2016.
  15. D. Smyl, M. Hallaji, A. Seppänen and M. Pour-Ghaz
    Three-dimensional electrical impedance tomography to monitor unsaturated moisture ingress in cement-based materials
    Transport in Porous Media, 115: 101–124, 2016.
  16. D. Smyl, M. Hallaji, A. Seppänen and M. Pour-Ghaz
    Quantitative electrical imaging of three-dimensional moisture flow in cement-based materials
    International Journal of Heat and Mass Transfer, 103: 1348–1358, 2016.
  17. J. Tick, A. Pulkkinen, T. Tarvainen
    Image reconstruction with uncertainty quantification in photoacoustic tomography
    Journal of the Acoustic Society of America, 139(4):1951-1961, 2016.
  18. A. Voss, M. Pour-Ghaz, M. Vauhkonen, A. Seppänen
    Electrical capacitance tomography to monitor unsaturated moisture ingress in cement-based materials
    Cement and Concrete Research, 89: 158-165, 2016.

2015

  1. J.M. Bardsley, A. Seppänen, A. Solonen, H. Haario and J.P. Kaipio
    Randomize-then-optimize for sampling and uncertainty quantification in electrical impedance tomography
    SIAM Journal on Uncertainty Quantification, 3: 1136–1158, 2015.
  2. D. Calvetti, P.J. Hadwin, J.M.J. Huttunen, D. Isaacson, J.P. Kaipio, D. !McGivney, E. Somersalo, J. Volzer
    Artificial boundary conditions and domain truncation in electrical impedance tomography. Part I: Theory and preliminary results
    Inverse Problems and Imaging, 9: 749-766, 2015.
  3. D. Calvetti, P.J. Hadwin, J.M.J. Huttunen, J.P. Kaipio, E. Somersalo
    Artificial boundary conditions and domain truncation in electrical impedance tomography. Part 2: Numerical results
    Inverse Problems and Imaging, 9: 767-789, 2015.
  4. T. Cui, N. Ward, S. Eveson and T. Lähivaara
    Pragmatic Approach to Calibrating Distributed Parameter Groundwater Models from Pumping Test Data Using Adaptive Delayed Acceptance MCMC
    Journal of Hydrologic Engineering, 21: 06015011, 2015.
  5. M. Hallaji, A. Seppänen and M. Pour-Ghaz
    Electrical Resistance Tomography to Monitor Unsaturated Moisture Flow in Cementitious Materials
    Cement and Concrete Research, 69: 10-18, 2015.
  6. T. Koivumäki, J. Teuho, M. Teräs, M. Vauhkonen and M.A. Hakulinen
    A novel respiratory gating method for oncological positron emission tomography based on bioimpedance approach]
    Annals of Nuclear Medicine, 29:351-358, 2015.
  7. M.J. Kortelainen, T.M. Koivumäki, M.J. Vauhkonen and M.A. Hakulinen
    Dependence of left ventricular functional parameters on image acquisition time in cardiac-gated myocardial perfusion SPECT]
    Journal of Nuclear Cardiology, 22(4):643-651, 2015.
  8. O. Lehtikangas, T. Tarvainen, A.D. Kim and S.R. Arridge
    Finite element approximation of the radiative transport equation in a medium with piece-wise constant refractive index]
    Journal of Computational Physics, 282:345 – 359, 2015.
  9. T. Liimatainen, H. Hakkarainen, S. Mangia, J. M.J. Huttunen, C. Storino, D. Idiyatullin, D. Sorce, M. Garwood and S. Michaeli
    MRI Contrasts in High Rank Rotating Frames
    Magnetic Resonance in Medicine, 73: 254-262, 2015.
  10. D. Liu, V. Kolehmainen, S. Siltanen, and A. Seppänen
    A nonlinear approach to difference imaging in EIT; assessment of the robustness in the presence of modelling errors
    Inverse Problems, 31(3): 035012, 2015.
  11. D. Liu, V. Kolehmainen, S. Siltanen, A.-M. Laukkanen, and A. Seppänen
    Estimation of conductivity changes in a region of interest with electrical impedance tomography
    Inverse Problems and Imaging, 9(1): 211 – 229, 2015.
  12. D. Liu, A.K. Khambampati, S. Kim and K.Y. Kim
    Multi-phase flow monitoring with electrical impedance tomography using level set based method
    Nuclear Engineering and Design, 289: 108 – 116, 2015.
  13. T. Lähivaara, N.F. Dudley Ward, T. Huttunen, Z. Rawlinson, and J.P. Kaipio
    Estimation of aquifer dimensions from passive seismic signals in the presence of material and source uncertainties
    Geophysical Journal International, 200(3): 1662-1675, 2015.
  14. M. Mozumder, T. Tarvainen, A. Seppänen, I. Nissilä, S. R. Arridge and V. Kolehmainen
    A non-linear approach to difference imaging in diffuse optical tomography
    Journal of Biomedical Optics, 20(10): 105001, 2015.
  15. A. Pulkkinen, B.T. Cox, S.R. Arridge, J.P. Kaipio, and T. Tarvainen
    Quantitative photoacoustic tomography using illuminations from a single direction
    Journal of Biomedical Optics, 20(3): 036015, 2015.
  16. V. Rimpilainen, J.P. Kaipio, N. Depree, B. Young, D.I. Wilson
    Predicting Functional Properties of Milk Powder based on Manufacturing Data in an Industrial-Scale Powder Plant
    Journal of Food Engineering, 153(3): 12-19, 2015.
  17. D. Sbarbaro, M. Vauhkonen and T.A. Johansen
    State estimation and inverse problems in electrical impedance tomography: observability, convergence and regularization
    Inverse Problems, 31(3): 045004, 2015.
  18. A. Sdayriaa, F. Ouledsaadb, J. Sghaierb, A. Nissinenc, M. Vauhkonenc and A. Elcafsia
    In-Line Monitoring of Drying Kinetics of a Fixed Bed Using an Electrical Imaging Technique
    Drying Technology: An International Journal, 33(8): 941-951, 2015.

2014

  1. T. Cui, N. Dudley Ward, J. P. Kaipio
    Characterization of parameters for a spatially heterogeneous aquifer from pumping test data
    19(6): 1203-1213, 2014.
  2. N. Dudley Ward, J. P. Kaipio
    Uncertainty, decision and control: A survey
    NZ J Hydrology, 53: 53-91, 2014.
  3. M. Hallaji, A. Seppänen, M. Pour-Ghaz
    Electrical impedance tomography-based sensing skin for quantitative imaging of damage in concrete
    Smart Materials and Structures, 23: 085001, 2014.
  4. J.M.J. Huttunen, H.T. Kokkonen, J.S. Jurvelin, J. Töyräs and J.P. Kaipio
    Estimation of fixed charge density and diffusivity profiles in cartilage using contrast enhanced computer tomography
    International Journal for Numerical Methods in Engineering, 98(5): 371-390, 2014.
  5. N. Hyvönen, A. Seppänen, S. Staboulis
    Optimizing electrode positions in electrical impedance tomography
    ”SIAM Journal on Applied Mathematics”, 74(6): 1831–1851, 2014.
  6. K. Karhunen, A. Seppänen, J.P. Kaipio
    Adaptive meshing approach to localization of cracks with Electrical impedance tomography
    Inverse Problems and Imaging, 8: 127 – 148, 2014.
  7. T. Koivumäki, S.G. Nekolla, S. Fürst, S. Loher, M. Vauhkonen, M. Schwaiger, M.A. Hakulinen.
    An integrated bioimpedance-ECG gating technique for respiratory and cardiac motion compensation in cardiac PET
    Phys. Med. Biol 59:6373-6385, 2014.
  8. J. Koponen, T. Huttunen, T. Tarvainen, J.P. Kaipio.
    Bayesian approximation error approach in full-wave ultrasound tomography
    IEEE Trans Ultrason Ferroelectr Freq Control, 61: 1627-37, 2014.
  9. T. Lähivaara, N. F. Dudley Ward, T. Huttunen, J. Koponen, and J. P. Kaipio.
    Estimation of aquifer dimensions from passive seismic signals with approximate wave propagation models
    Inverse problems. 30(1): 015003, 2014.
  10. K.T. Laitinen, J. M. Miettinen, M. Vauhkonen and R. Lappalainen.
    Development of novel electroplating tank layout by computer simulations and verification tests
    Transactions of the IMF, 92(5): 238-244, 2014.
  11. T. Lähivaara, A. Seppänen, J.P. Kaipio, J. Vauhkonen, L. Korhonen, T. Tokola, M. Maltamo
    Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data
    IEEE Transactions on Geoscience and Remote Sensing, 52: 2690 – 2699, doi: 10.1109/TGRS.2013.2264548, 2014.
  12. T. Lähivaara, N. F. Dudley Ward, T. Huttunen, J. P. Kaipio, and K. Niinimäki
    Estimating pipeline location using ground-penetrating radar data in the presence of model uncertainties
    Inverse problems 30(11):114006, 2014.
  13. M. Mozumder, T. Tarvainen, J. P. Kaipio, S. R. Arridge and V. Kolehmainen
    Compensation of modeling errors due to unknown domain boundary in diffuse optical tomography
    Journal of the Optical Society of America A 31(8):1847-1855, 2014.
  14. A. Nissinen, A. Lehikoinen, M. Mononen, S. Lähteenmäki and M. Vauhkonen
    Estimation of the bubble size and bubble loading in a flotation froth using electrical resistance tomography
    Minerals Engineering 69:1-12, 2014.
  15. A. Pulkkinen, B. T. Cox, S. R. Arridge, J. P. Kaipio, and T. Tarvainen
    A Bayesian approach to spectral quantitative photoacoustic tomography
    Inverse Problems 30 065012. doi:10.1088/0266-5611/30/6/065012, 2014.
  16. A. Pulkkinen, V. Kolehmainen, J. P. Kaipio, B. T. Cox, S. R. Arridge and T. Tarvainen
    Approximate marginalization of unknown scattering in quantitative photoacoustic tomography
    Inverse Problems and Imaging 83: 811-829, 2014.
  17. V. Radolf, A.-M. Laukkanen, J. Horáček, D. Liu
    Air-pressure, vocal fold vibration and acoustic characteristics of phonation during vocal exercising. part 1: measurement in vivo
    Engineering Mechanics, 21(1):53-59, 2014.
  18. L. Roininen, J.M.J. Huttunen and S. Lasanen
    Whittle-Mat’ern priors for Bayesian statistical inversion with applications in electrical impedance tomography
    Inverse Problems and Imaging, 8(2):561 – 586, doi:10.3934/ipi.2014.8.561, 2014.
  19. J.M. Toivanen, T. Tarvainen, J.M.J. Huttunen, T. Savolainen, H.R.B. Orlande, J.P. Kaipio and V. Kolehmainen
    3D thermal tomography with experimental measurement data
    International Journal of Heat and Mass Transfer, 78:1126-1134, 2014.

2013

  1. M. Cristofol, P. Gaitan, K. Niinimäki & O. Poisson
    Inverse problem for a coupled parabolic system with discontinuous conductivities: one-dimensional case]
    Inverse Problems and Imaging, 7(1): 159-182, 2013
  2. J. Dardé, N. Hyvönen, A. Seppänen, S. Staboulis
    Simultaneous recovery of admittivity and body shape in electrical impedance tomography: An experimental evaluation
    Inverse Problems, 29: 085004, 2013.
  3. J. Dardé, N. Hyvönen, A. Seppänen, S. Staboulis
    Simultaneous reconstruction of outer boundary shape and admittivity distribution in electrical impedance tomography]
    SIAM Journal on Imaging Sciences, 6(1): 176–198, 2013.
  4. K. Hämäläinen, A. Kallonen, V. Kolehmainen, M. Lassas, K. Niinimäki, S. Siltanen
    Sparse tomography]
    SIAM Journal on Imaging Sciences, 35(3): B644-B665, 2013.
  5. E. Kankare, D. Liu, A.-M. Laukkanen and A. Geneid
    EGG and acoustic analyses from different voice samples compared with perceptual evaluation and Voice Activity and Participation Profile (VAPP)
    Folia Phoniatrica et Logopaedica, 65:98-104, 2013.
  6. V. Kolehmainen, M. Lassas, P. Ola and S. Siltanen
    Recovering shape and conductivity in electrical impedance tomography
    Inverse Problems and Imaging, 7:217-242, 2013
  7. O. Lehtikangas, T. Tarvainen
    Hybrid forward-peaked-scattering-diffusion approximations for light propagation in turbid media with low-scattering regions]
    Journal of Quantitative Spectroscopy and Radiative Transfer, 116: 132-144, 2013.
  8. A. Lipponen, A. Seppänen, J.P. Kaipio
    Electrical impedance tomography imaging with reduced-order model based on proper orthogonal decomposition
    Journal of Electronic Imaging, 22: 023008, 2013.
  9. A. Lipponen, V. Kolehmainen, S. Romakkaniemi, and H. Kokkola
    Correction of approximation errors with Random Forests applied to modelling of cloud droplet formation
    Geosci. Model Dev., 6(6): 2087-2098, 2013.
  10. T. Luostari, T. Huttunen and P. Monk
    Improvements for the Ultra Weak Variational Formulation]
    International Journal for Numerical Methods in Engineering, 94(6): 598-624, 2013.
  11. T. Luostari, T. Huttunen and P. Monk.
    Error estimates for the ultra weak variational formulation in linear elasticity]
    ESAIM: Mathematical Modelling and Numerical Analysis. 47(1): 183-211, 2013.
  12. M. Mozumder, T. Tarvainen, S. R. Arridge, J. P. Kaipio and V. Kolehmainen
    Compensation of optode sensitivity and position errors in diffuse optical tomography using the approximation error approach
    Biomedical Optics Express, 4(10):2015-2031, 2013.
  13. A. Nissinen, D. Sbarbaro, L.M. Heikkinen and M. Vauhkonen
    Reduced forward models in electrical impedance tomography with probe geometry
    Inverse Problems in Science and Engineering, 22(8):1259-1284, 2013.
  14. A. Pulkkinen and T. Tarvainen
    Truncated Fourier-series approximation of the time-domain radiative transfer equation using finite elements
    Journal of Optical Society of America A, 30(3):470-478, 2013.
  15. T. Saratoon, T. Tarvainen, B. T. Cox and S. R. Arridge
    A gradient-based method for quantitative photoacoustic tomography using the radative transfer equation]
    Inverse Problems, 29: 075006, 2013.
  16. T. Tarvainen, A. Pulkkinen, B. Cox, J. Kaipio and S Arridge
    Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography
    IEEE Transactions on Medical Imaging, 32(12):2287-2298, 2013.

2012

  1. M. Gehre, T. Kluth, A. Lipponen, B. Jin, A. Seppänen,J.P. Kaipio, P. Maass
    Sparsity reconstruction in electrical impedance tomography: An experimental evaluation
    J Comput Appl Math, 236: 2126-2136, 2012
  2. J. Heiskala, V. Kolehmainen, T. Tarvainen, J.P. Kaipio and S. R. Arridge.
    Approximation error method can reduce artifacts due to scalp blood flow in optical brain activation imaging
    Journal of Biomedical Optics, 17:096012, 2012.
  3. J.M.J. Huttunen, P.B. Stark.
    Cheap contouring of costly functions: the Pilot Approximation Trajectory algorithm
    Computational Science & Discovery, 5: 015006, 2012.
  4. T. Koivumäki, M. Vauhkonen, J. T. Kuikka and M. A. Hakulinen
    Bioimpedance-based measurement method for simultaneous acquisition of respiratory and cardiac gating signals
    Physiol. Meas. 33:1323-1334, 2012.
  5. V. Kolehmainen, M. Lassas, K. Niinimäki, S. Siltanen.
    Sparsity-promoting Bayesian inversion
    Inverse Problems, 28: 025005, 2012.
  6. O. Lehtikangas, T. Tarvainen, A. D. Kim
    Modeling boundary measurements of scattered light using the corrected diffusion approximation]
    Biomed. Opt. Express 3: 552-571, 2012.
  7. M. Linnala, E. Madetoja, H. Ruotsalainen, J. Hämäläinen
    Bi-level optimization for a dynamic multiobjective problem
    Enginaaring Optimization, 44(2): 195-207, 2012.
  8. T. Luostari, T. Huttunen and P. Monk
    The ultra weak variational formulation using Bessel basis functions
    Commun. Comput. Phys., 11: 400-414, 2012.
  9. T. Tarvainen, B.T. Cox, J. P. Kaipio, S. R. Arridge
    Reconstructing absorption and scattering distributions in quantitative photoacoustic tomography]
    Inverse Problems 28(8): 084009, 2012.
  10. J. M. Toivanen, V. Kolehmainen, T. Tarvainen, H.R.B Orlande and J. P. Kaipio
    Simultaneous estimation of spatially distributed thermal conductivity, heat capacity and surface heat transfer coefficient in thermal tomography
    International Journal of Heat and Mass transfer, 55:7958-7968, 2012.
  11. V. Rimpiläinen, L.M. Heikkinen, M. Vauhkonen
    Moisture distribution and hydrodynamics of wet granules during fluidized-bed drying characterized with volumetric electrical capacitance tomography
    Chem. Eng. Sci., 75:220-234, 2012.

2011

  1. T. Correia, J. Aguirre, A. Sisniega, J. Chamorro-Servent, J. Abascal, J.J. Vaquero, M. Desco, V. Kolehmainen and S.R. Arridge
    Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical information
    Biomedical Optics Express, 2(9):2632-2648, 2011
  2. G. Gabard, P. Gamallo and T. Huttunen
    A comparison of wave-based discontinuous Galerkin, ultra-weak and least-square methods for wave problems
    Int. J. Numer. Meth. Engng, 85:380–402, 2011
  3. J. P. Kaipio, C. Fox
    The Bayesian framework for inverse problems in heat transfer
    Heat Transfer Eng, 32:718–753, 2011
  4. V. Kolehmainen, T. Tarvainen, S. R. Arridge and J. P. Kaipio.
    Marginalization of uninteresting distributed parameters in inverse problems – Application to diffuse optical tomography]
    International Journal for Uncertainty Quantification, 1:1-17, 2011.
  5. A. Lipponen, A. Seppänen and J. P. Kaipio
    Nonstationary approximation error approach to imaging of three-dimensional pipe flow: experimental evaluation
    Meas. Sci. Technol. 22: 104013, 2011
  6. P.S. Mohan, T. Tarvainen, M. Schweiger, A. Pulkkinen, S.R. Arridge
    Variable order spherical harmonics expansion scheme for the radiative transport equation using finite elements
    Journal of computational Physics, 230(19): 7364–7383, 2011.
  7. A. Nissinen, V. Kolehmainen and J. P. Kaipio.
    Compensation of modelling errors due to unknown domain boundary in electrical impedance tomography]
    IEEE Transactions on Medical Imaging, 30: 231-242, 2011
  8. A. Nissinen, V. Kolehmainen and J. P. Kaipio.
    Reconstruction of domain boundary and conductivity in electrical impedance tomography using the approximation error approach]
    International Journal for Uncertainty Quantification, 1: 203-222, 2011
  9. K. Oravisjärvi, M. Pietikäinen, J. Ruuskanen, A. Rautio, A. Voutilainen and R.L. Keiski
    Effects of physical activity on the deposition of traffic-related particles into human lungs in silico
    Science of the Total Environment, 409(21): 4511–4518, 2011.
  10. J. Reunanen, M. Mononen, M. Vauhkonen, A. Lehikoinen and Jari P. Kaip
    Machine learning approach for locating phase interfaces using conductivity probes
    Inverse Problems in Science and Engineering, 19(6): 879-902, 2011
  11. V. Rimpiläinen, S. Poutiainen, L.M. Heikkinen, T. Savolainen, M. Vauhkonen, J. Ketolainen
    Electrical capacitance tomography as a monitoring tool for high-shear mixing and granulation
    Chemical Engineering Science, 66(18): 4090–4100, 2011
  12. S.-P. Simonaho
    Ultrasound transmission measurements for tensile strength evaluation of tablets
    International Journal of Pharmaceutics 409: 104–110, 2011.
  13. S.-P. Simonaho, T. Lähivaara, T. Huttunen
    Modeling of acoustic wave propagation in time-domain using the discontinuous Galerkin method – A comparison with measurements
    Applied Acoustics, 73(2):173-183,” ”2011.
  14. T. Tarvainen, V. Kolehmainen, S.R. Arridge, and J.P. Kaipio
    Image reconstruction in diffuse optical tomography using the coupled radiative transport – diffusion model
    J Quant Spectrosc Radiat Transf, 112(16): 2600–2608, 2011.
  15. O-P Tossavainen, J. Percelay, M. Stacey, J.P. Kaipio, A. Bayen
    State estimation and modeling error approach for 2D shallow water equations and Lagrangian measurements
    Water Resources Res, 47(10): W10510, 2011.
  16. A. Voutilainen, A. Lehikoinen, M. Vauhkonen, J. P. Kaipio
    A reduced-order filtering approach for 3D dynamical electrical impedance tomography
    Measurement of Science and Technology, 2(2): 025504, 2011.
  17. A. Voutilainen, A. Lipponen, A. Lehikoinen, M. Vauhkonen, J.P. Kaipio
    Fast adaptive three-dimensional nonstationary electrical impedance tomography based on reduced-order modeling
    IEEE Transactions on Instrumentation and Measurement, 61(10): 2665 – 2681, 2011.

2010

  1. J. M. J. Huttunen, A Lehikoinen, J Hämäläinen and J P Kaipio
    Importance sampling approach for the nonstationary approximation error method
    Inverse Problems, 26: 125003, 2010.
  2. N. Hyvönen, K. Karhunen and A. Seppänen
    Fréchet derivative with respect to the shape of an internal electrode in electrical impedance tomography
    SIAM Journal on Applied Mathematics, 70(6): 1878–1898, 2010.
  3. K. Karhunen, A. Seppänen, A. Lehikoinen, P.J.M. Monteiro, J.P. Kaipio.
    Electrical resistance tomography imaging of concrete
    Cement and Concrete Research 40: 137-145, 2010.
  4. K. Karhunen, A. Seppanen, A. Lehikoinen, J. Blunt, J. P. Kaipio, and P. J. M. Monteiro.
    Electrical Resistance Tomography for Assessment of Cracks in Concrete
    ACI Materials Journal 107(5):523-531, 2010.
  5. V. Kolehmainen, M. Lassas ja P. Ola.
    Calderon’s inverse problem with an imperfectly known boundary and reconstruction up to a conformal deformation]
    SIAM Journal on Mathematical Analysis 42(3): 1371-1381, 2010.
  6. O. Lehtikangas, T. Tarvainen, V. Kolehmainen, A. Pulkkinen S.R. Arridge, J.P. Kaipio
    Finite element approximation of the Fokker–Planck equation for diffuse optical tomography
    Journal of Quantitative Spectroscopy & Radiative Transfer, 111: 1406–1417, 2010.
  7. J.T.T. Leskinen, S.-P. Simonaho, M. Hakulinen, J. Ketolainen
    In-line ultrasound measurement system for detecting tablet integrity
    International Journal of Pharmaceutics, 400: 104–113, 2010.
  8. A. Lipponen, A. Seppänen, J. Hämäläinen, J.P. Kaipio
    Nonstationary inversion of convection-diffusion problems – recovery from unknown nonstationary velocity fields
    Inverse Problems and Imaging 4(3): 463-483, 2010.
  9. A. Lipponen, A. Seppänen, J.P. Kaipio
    Reduced-order estimation of nonstationary flows with electrical impedance tomography
    Inverse Problems 26: 074010, 2010.
  10. T. Lähivaara, T. Huttunen
    A non-uniform basis order for the discontinuous Galerkin method of the 3D dissipative wave equation with perfectly matched layer
    Journal of Computational Physics 229(13): 5144-5160, 2010.
  11. T. Lähivaara, T. Huttunen
    A non-uniform basis order for the discontinuous Galerkin method of the acoustic and elastic wave equations
    Applied numerical mathematics, 61(4): 473–486, 2010.
  12. T. Tarvainen, V. Kolehmainen, A. Pulkkinen, M. Vauhkonen, M. Schweiger, S.R. Arridge, J.P. Kaipio.
    An approximation error approach for compensating for modelling errors between the radiative transfer equation and the diffusion approximation in diffuse optical tomography]
    Inverse Problems 26: 015005, 2010.
  13. T. Tarvainen, V. Kolehmainen, J.P. Kaipio, S.R. Arridge.
    Corrections to linear methods for diffuse optical tomography using approximation error modelling
    Biomedical Optics Express 1(1): 209-222, 2010.
  14. A. Voutilainen, A. Lehikoinen, M. Vauhkonen, J.P. Kaipio.
    Three-dimensional nonstationary electrical impedance tomography with a single electrode layer]
    Measurement Science and Technology, 21: 035107, 2010.

2009

  1. J. Viinikka, H. Debar, L. Me, A. Lehikoinen, M. Tarvainen
    Processing intrusion detection alert aggregates with time series modelling.
    Information Fusion 10(4):312-324, 2009.
  2. A. Lehikoinen, S. Finsterle, A. Voutilainen, M.B. Kowalsky, J.. Kaipio
    Dynamical inversion of geophysical ERT data: State estimation in the vadose zone.
    Inverse Problems in Science and Engineering 17(6):715-736, 2009.
  3. A. Seppänen, A. Voutilainen, J.P. Kaipio
    State estimation in process tomography – reconstruction of velocity fields using EIT.
    Inverse Problems, 25(8):085009 (24pp), 2009
  4. T. Huttunen, P. Gamallo, R. J. Astley
    Comparison of two wave element methods for the Helmholtz problem.
    Communications in Numerical Methods in Engineering 25(1):35-52, 2009
  5. J. Kourunen, T. Savolainen, A. Lehikoinen, M. Vauhkonen, L. M. Heikkinen
    Suitability of a PXI platform for an electrical impedance tomography system.
    Measurement Science and Technology 20(1):015503 (11pp), 2009
  6. J.M.J. Huttunen, J.P. Kaipio
    Model reduction in state identification problems with an application to determination of thermal parameters.
    Applied Numerical Mathematics 59(5):877-890, 2009
  7. A. Nissinen, L. Heikkinen, V. Kolehmainen, J.P. Kaipio
    Compensation of errors due to discretization, domain truncation and unknown contact impedances in EIT.
    Measurement Science and Technology 20(10):105504(13pp), 2009
  8. V. Kolehmainen, M. Schweiger, I. Nissilä, T. Tarvainen, S.R. Arridge, J.P. Kaipio
    Approximation errors and model reduction in three-dimensional diffuse optical tomography.
    J. Opt. Soc. Am. A 26(10):2257-2268, 2009
  9. A. Zacharopoulos, M. Schweiger, V. Kolehmainen and S. R. Arridge
    3D shape based reconstruction of experimental data in diffuse optical tomography.
    Optics Express, 17(21):18940-18956, 2009
  10. V. Rimpiläinen, L.M. Heikkinen, M. Kuosmanen, A. Lehikoinen, A. Voutilainen, M. Vauhkonen, J. Ketolainen
    An electrical impedance tomography-based approach to monitor in vitro sodium chloride dissolution from pharmaceutical tablets.
    Review of Scientific Instruments, 80:103706, 2009.
  11. M. Pietikäinen, K. Oravisjärvi, A. Rautio, A. Voutilainen, J. Ruuskanen, R.L. Keiski
    Exposure assessment of particulates of diesel and natural gas fuelled buses in silico.
    Science of the Total Environment 408:163-168, 2009
  12. A. Voutilainen, J. P. Kaipio
    Model reduction and pollution source identification from remote sensing data.
    Inverse Problems and Imaging 3: 711 – 730, 2009.
  13. C.A.A. Mota, H.R.B. Orlande, O.J.M. Wellele, V. Kolehmainen, J. Kaipio
    Inverse problem of simultaneous identification of thermophysical properties and boundary heat flux.
    High Temperatures – High Pressures, 38:171-185, 2009

2008

  1. V. Kolehmainen, M. Lassas, P. Ola
    Electrical impedance tomography problem with inaccurately known boundary and contact impedances.
    IEEE Transactions on Medical Imaging 27(10):1404-1414, 2008
  2. T. Lähivaara, M. Malinen, J.P. Kaipio, T. Huttunen,
    Computational aspects of the discontinuous Galerkin method for the wave equation.
    Journal of Computational Acoustics 16(4):507-530, 2008.
  3. T. Huttunen, J.P. Kaipio, P. Monk,
    An ultra-weak method for acoustic fluid-solid interaction.
    Journal of Computational and Applied Mathematics, 213(1):166-185, 2008
  4. A. Laaksonen, M. Kulmala, T. Berndt, F. Stratmann, S. Mikkonen, A. Ruuskanen, K.E.J. Lehtinen, M. Dal Maso, P. Aalto, T. Petäjä, I. Riipinen, S.-L. Sihto, R. Janson, F. Arnold, M. Hanke, J. Ücker B. Umann, K. Sellegri, C.D. O’Dowd, Y. Viisanen,
    SO2 oxidation products other than H2SO4 as a trigger of new particle formation. Part 2: Comparison of ambient and laboratory measurements, and atmospheric implications.
    Atmospheric Chemistry and Physics 8:7255-7264, 2008
  5. V. Kolehmainen, J.P. Kaipio, H.R.B. Orlande,
    Reconstruction of thermal conductivity and heat capacity using a tomographic approach.
    International Journal of Heat and Mass Transfer 51(7-8):1866-1876, 2008
  6. A. Seppänen, M. Vauhkonen, P.J. Vauhkonen, A. Voutilainen, J.P. Kaipio,
    State estimation in process tomography – Three-dimensional impedance imaging of moving fluids.
    International Journal for Numerical Methods in Engineering 73(11):1651-1670, 2008
  7. A. Nissinen, L.M. Heikkinen, J.P. Kaipio,
    The Bayesian approximation error approach for electrical impedance tomography – experimental results.
    Measurement Science and Technology 19(1):015501 (9pp), 2008
  8. T. Tarvainen, M. Vauhkonen, V. Kolehmainen, J.P. Kaipio, S.R. Arridge,
    Utilizing the radiative transfer equation in optical tomography.
    PIERS Online 4(6):655-660, 2008
  9. T. Tarvainen, M. Vauhkonen, S.R. Arridge,
    Gauss-Newton reconstruction method for optical tomography using the finite element solution of the radiative transfer equation.
    Journal of Quantitative Spectroscopy & Radiative Transfer 109(17-18):2767-2778, 2008
  10. Kourunen J, Käyhkö R, Matula J, Käyhkö J, Vauhkonen M, Heikkinen LM.
    Imaging of mixing of two miscible liquids using electrical impedance tomography and linear impedance sensor.
    Flow Meas Instrum 2008:19:391-396.
  11. Kolehmainen V, Lassas M, Siltanen S.
    Limited data x-ray tomography using nonlinear evolution equations.
    SIAM J Sci Comput 2008:30(3):1413-1429.

2007

  1. J.P. Kaipio, A. Seppänen, A. Voutilainen, H. Haario
    Optimal current patterns in dynamical EIT imaging
    Inverse Problems, 23:1201-1214, 2007.
  2. J. Kaipio, E. Somersalo
    Statistical inverse problems: Discretization, model reduction and inverse crimes.
    Journal of Computational and Applied Mathematics, 198(2):493-504, 2007.
  3. O.-P. Tossavainen, M. Vauhkonen, V. Kolehmainen
    A three-dimensional shape estimation approach for tracking of phase interfaces in sedimentation processes using electrical impedance tomgraphy
    Measurement Science and Technology, 18:1413-1424, 2007
  4. J.M.J. Huttunen and J.P. Kaipio
    Approximation errors in nonstationary inverse problems
    Inverse Problems and Imaging, 1:77-93, 2007
  5. J.M.J. Huttunen and H.K. Pikkarainen
    Discretization error in dynamical inverse problems: one-dimensional model case
    Journal of Inverse and Ill-posed problems, 15:365-386, 2007
  6. J.M.J. Huttunen and J.P. Kaipio
    “Approximation error analysis in nonlinear state estimation with an application to state-space identification”
    Inverse Problems, 23:2141-2157, 2007
  7. A. Voutilainen, T. Pyhälahti, K. Y. Kallio, J. Pulliainen, H. Haario, J.P. Kaipio
    A Filtering Approach for Estimating Lake Water Quality from Remote Sensing Data
    International Journal of Applied Earth Observation and Geoinformation, 9:50-64, 2007.
  8. A. Seppänen, L. Heikkinen, T. Savolainen, A. Voutilainen, E. Somersalo and J.P. Kaipio
    An experimental evaluation of state estimation with fluid dynamical models in process tomography
    Chemical Engineering Journal, 127:23-30, 2007
  9. A. Lehikoinen, S. Finsterle, A. Voutilainen, L.M. Heikkinen, M. Vauhkonen and J.P. Kaipio
    Approximation Errors and Truncation of Computational Domains with Application to Geophysical Tomography
    Inverse Problems and Imaging, 1:371-389, 2007
  10. Brandt SS, Kolehmainen V.
    Structure-from-motion without correspondence from tomographic projections by Bayesian inversion theory.
    IEEE Trans Med Imag 2007:26(2):238-248.
  11. Kervella M, Tarvainen T, Humeau A, L´Huillier J-P.
    Efficiency of hybrid methods to model light propagation in biological tissues.
    WSEAS Trans Signal Process 2007:1(3):9-16.
  12. Kolehmainen V, Lassas M, Ola P.
    The inverse conductivity problem with an imperfectly known boundary in three dimensions.
    SIAM J Appl Math 2007:67(5):1440-1452.
  13. Kolehmainen V, Vanne A, Siltanen S, Järvenpää S, Kaipio JP, Lassas M, Kalke M.
    Bayesian inversion method for 3D dental X-ray imaging.
    Elektrotechnik und Informationstechnik 2007:127(7-8):248-253.
  14. Niinimäki K, Siltanen S, Kolehmainen V.
    Bayesian multiresolution method for local tomography in dental x-ray imaging.
    Phys Med Biol 2007(52):6663-6678.
  15. Huttunen T, Malinen M, Monk P.
    Solving Maxwell´s equations using the ultra weak variational formulation.
    J Comput Phys 2007:223:731-758.
  16. Huttunen T, Monk P.
    The use of plane waves to approximate wave propagation in anisotropic media.
    J Comput Math 2007:25(3):350-367.
  17. Huttunen T, Seppälä E T, Kirkeby O, Kärkkäinen A, Kärkkäinen L.
    Simulation of the transfer function for a head-and-torso model over the entire audible frequency range.
    Journal of Computational Acoustics 2007 15(4):429-448

2000-2006

  1. S.R. Arridge, O. Dorn, J.P. Kaipio, V. Kolehmainen, M. Schweiger, T. Tarvainen, M. Vauhkonen, A. Zacharopoulos
    Reconstruction of subdomain boundaries of piecewise constant coefficients of the radiative transfer equation from optical tomography data
    Inverse Problems, 22:2175-2196, 2006.
  2. O.-P. Tossavainen, M. Vauhkonen, V. Kolehmainen, K.Y. Kim
    Tracking of moving interfaces in sedimentation processes using electrical impedance tomography
    Chemical Engineering Science, 61:7717-7729, 2006. DOI
  3. O.-P. Tossavainen, V. Kolehmainen, M. Vauhkonen
    Free-surface and admittivity estimation in electrical impedance tomography
    Int J Numer Meth Engng, 66:1991-2013, 2006. DOI
  4. A.R. Ruuskanen, A. Seppänen, J.P. Kaipio
    Optimal actuator placement for controlling concentration profile via process tomography
    Inverse Problems in Science and Engineering, 14(8):819-836, 2006.
  5. L.M Heikkinen, J. Kourunen, T. Savolainen, P.J. Vauhkonen, J.P. Kaipio M. Vauhkonen
    Real time three-dimensional electrical impedance tomography applied to multiphase flow imaging
    Measurement science and technology, in press, 2006.
  6. S.R. Arridge, J.P. Kaipio, V. Kolehmainen, M. Schweiger, E. Somersalo, T. Tarvainen, M. Vauhkonen
    Approximation errors and model reduction with an application in optical diffusion tomography
    Inverse Problems, 22:175-195, 2006.
  7. T. Tarvainen, M. Vauhkonen, V. Kolehmainen, J.P. Kaipio
    Finite element model for the coupled radiative transfer equation and diffusion approximation
    Int J Numer Meth Engng, 65(3):383-405, 2006.
  8. A.R. Ruuskanen, A. Seppänen, S. Duncan, E. Somersalo, J.P. Kaipio
    Using process tomography as a sensor for optimal control
    Applied Numerical Mathematics, 56(1):37-54, 2006.
  9. M. Malinen, S.R. Duncan, T. Huttunen, and J.P. Kaipio :
    “Feedforward and feedback control of ultrasound surgery”
    Applied Numerical Mathematics, 56:55-79, 2006
  10. J.M.J. Huttunen, T.Huttunen, M. Malinen and J.P. Kaipio
    “Determination of heterogeneous thermal parameters using ultrasound induced heating and MR thermal mapping”
    Physics in Medicine and Biology, 51:1011-1032, 2006
  11. Calvetti D, Kaipio JP, Someralo E.
    Aristotelian prior boundary conditions.
    INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE. 2006.
  12. Kolehmainen V, Vanne A, Siltanen S, Järvenpää S, Kaipio JP, Lassas M, Kalke M.
    Parallelized Bayesian inversion for three-dimensional dental x-ray imaging.
    IEEE TRANSACTIONS ON MEDICAL IMAGING. 2006.
  13. Diamond SG, Huppert TJ, Kolehmainen V, Franceschini MA, Kaipio JP, Arridge SR, Boas DA.
    Dynamic physiological modeling for functional diffuse optical tomography.
    NEUROIMAGE. 2006.
  14. M. Malinen, T. Huttunen, J.P. Kaipio and K. Hynynen :
    “Scanning path optimization for ultrasound surgery”
    Physics in Medicine and Biology, 50:3473-3490, 2005
  15. T. Tarvainen, M. Vauhkonen, V. Kolehmainen, S.R. Arridge, J.P. Kaipio
    Coupled radiative transfer equation and diffusion approximation model for photon migration in turbid medium with low-scattering and non-scattering regions
    Phys Med Biol, 50:4913-4930, 2005.
  16. I. Nissilä, T. Noponen, K. Kotilahti, T. Tarvainen, M. Schweiger, L. Lipiäinen, S. Arridge, T. Katila
    Instrumentation and calibration methods for the multichannel measurement of phase and amplitude in optical tomography
    Rev Sci Instrum, 76(4):044302, 2005.
  17. T. Tarvainen, V. Kolehmainen, M. Vauhkonen, A. Vanne, A.P. Gibson, M. Schweiger, S.R. Arridge, J.P. Kaipio
    Computational calibration method for optical tomography
    Applied Optics, 44(10):1879-1888, 2005.
  18. L.M. Heikkinen, R.M. West, M. Vauhkonen
    Utilizing prior information in the estimation of volume fraction distribution
    International Journal of Numerical Methods in Engineering, 64:1719-1740, 2005.
  19. T. Tarvainen, M. Vauhkonen, V. Kolehmainen, J.P. Kaipio
    Hybrid radiative-transfer-diffusion model for optical tomography
    Applied Optics, 44(6):876-886, 2005.
  20. T. Huttunen, M. Malinen, J. P. Kaipio, P.J. White and K. Hynynen
    “A full-wave Helmholtz model for continuous-wave ultrasound transmission”
    IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, In Press, 2005
  21. J. Heino, E. Somersalo and J. P. Kaipio
    Compensation for geometric mismodelling by anisotropies in optical tomography
    Opt. Express, 13:296-308, 2005
  22. A. Voutilainen, J.P. Kaipio
    Sequential Monte Carlo estimation of aerosol size distributions
    Computational Statistics & Data Analysis, 48:887-908, 2005.
  23. Tossavainen O.-P., Vauhkonen M., Heikkinen L.M., Savolainen T.
    Estimating shapes and free surfaces with electrical impedance tomography
    Meas Sci Technol, 15:1402-1411, 2004. http://stacks.iop.org/MST/15/1402
  24. T. Huttunen, J. P. Kaipio and P. Monk :
    “The perfectly matched layer for the ultra weak variational formulation of the 3D Helmholtz equation”
    International Journal for Numerical Methods in Engineering, 61:1072-1092,2004
  25. T. Huttunen, P. Monk, F. Collino and J. P. Kaipio :
    “The ultra-weak variational formulation for elastic wave problems”
    SIAM Journal on Scientific Computing, 25(5):1717 – 1742, 2004
  26. J. P. Kaipio, A. Seppänen, E. Somersalo and H. Haario
    Posterior covariance related optimal current patterns in electrical impedance tomography
    Inverse Problems, 20:919-936, 2004
  27. A. Voutilainen, J.P. Kaipio, J. Pekkanen, K.L. Timonen, J. Ruuskanen
    Theoretical analysis of the influence of aerosol size distribution and physical activity on particle deposition pattern in human lungs
    Scandinavian Journal of Work, Environment & Health, 30(Suppl.2):73-79, 2004.
  28. M. Malinen, T. Huttunen, K. Hynynen and J.P. Kaipio
    Simulation study for thermal dose optimization in ultrasound surgery of the breast
    Medical Physics 31:1296-1307, 2004.
  29. T. Huttunen, J. P. Kaipio and K. Hynynen :
    “Modeling of anomalies due to hydrophones in continuous-wave ultrasound fields”
    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 50(11):1486-1500, 2003
  30. E. Somersalo, A. Voutilainen, J.P. Kaipio
    Non-stationary magnetoencephalography by Bayesian filtering of dipole models
    Inverse Problems, 19:1047-1063, 2003.
  31. M. Malinen, T. Huttunen and J.P. Kaipio
    Thermal dose optimization method for ultrasound surgery
    Physics in Medicine and Biology, 48:745-762, 2003.
  32. M. Malinen, T. Huttunen and J.P. Kaipio
    An optimal control approach for ultrasound induced heating
    International Journal of Control 76:1323-1336, 2003.
  33. T. Huttunen, P. Monk and J. P. Kaipio :
    ” Computational aspects of the ultra-weak variational formulation”
    Journal of Computational Physics 182: 27-46, 2002.
  34. J. P. Kaipio and E. Somersalo
    “Estimating anomalies from indirect observations” (PDF)
    Journal of Computational Physics 181:397-397, 2002
  35. A. Voutilainen, J.P. Kaipio
    Estimation of time-varying aerosol size distributions – exploitation of modal aerosol dynamical models.
    Journal of Aerosol Science, 33:1181-1200, 2002.
  36. T. Vilhunen, J.P. Kaipio, P.J. Vauhkonen, T. Savolainen, M. Vauhkonen
    Simultaneous reconstruction of electrode contact impedances and internal electrical properties, Part I: Theory
    Meas Sci Technol, 13:1848-1854, 2002.
  37. T. Vilhunen, L.M. Heikkinen, T. Savolainen, P.J. Vauhkonen, R. Lappalainen, J.P. Kaipio, M. Vauhkonen
    Detection of faults in resistive coatings with an impedance-tomography-related approach
    Meas Sci Technol, 13: 865-872, 2002.
  38. A. Voutilainen, V. Kolehmainen, J.P. Kaipio
    Statistical inversion of aerosol size measurement data
    Inverse Problems in Engineering, 9:67-94, 2001.
  39. A. Voutilainen, J.P. Kaipio
    Estimation of non-stationary aerosol size distributions using a state-space approach
    Journal of Aerosol Science, 32:631-648, 2001.
  40. A. Voutilainen, J.P. Kaipio
    A non-homogeneous regularization method fo the estimation of narrow aerosol size distribution
    Journal of Aerosol Science, 32:1433-1445, 2000.