Alexakis S, Stinchcombe A R, Tyni T: A boundary integral equation approach to electrical impedance tomography: experiments on the KTC2023 data. Applied Mathematics for Modern Challenges, 2024. Read here
Arif MZ, Lähivaara T, Vauhkonen M: Deep learning-assisted dual-modal tomography for phase flow rate estimation in two-phase oil-water flow systems. Science and Technology 35 (7), 07530, 2024. Read here
Blåsten E, Exner P, Isozaki H, Lassas M, Lu J: Inverse Problems for Locally Perturbed Lattices – Discrete Hamiltonian and Quantum Graph. To appear in Annales Henri Lebesgues, preprint: Read here
Brix MAK, Järvinen J, Bode MK, Nevalainen M, Nikki M, Niinimäki J, Lammentausta E: Financial impact of incorporating deep learning reconstruction into magnetic resonance imaging routine. Eur J Radiol. 2024. Read here
Casula V, Kajabi AW: Quantitative MRI methods for the assessment of structure, composition, and function of musculoskeletal tissues in basic research and preclinical applications. MAGMA. 2024 Jun 21. Read here
Covi G, Railo J, Tyni T, Zimmerman P: Stability estimates for the inverse fractional conductivity problem. SIAM J. Math. Anal. 56:2, DOI: 10.1137/22M1533542, 2024. Read here
Hauptmann A, Al-Rubaye M, Nieminen M, Brix M: A multi-filter and multi-scale U-Net for cone-beam computed tomography with hardware constraints. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), pp. 69-70. IEEE, (2024). Read here
Hauptmann A, Subhadip M, Carola-Bibiane S, Ferdia S: Convergent regularization in inverse problems and linear plug-and-play denoisers. Foundations of Computational Mathematics (2024), 1-34. Read here
Hänninen N, Pulkkinen A, Arridge S, Tarvainen T: Estimating absorption and scattering in quantitative photoacoustic tomography with an adaptive Monte Carlo method for light transport. Inverse Problems and Imaging, 18(5):1052-1077, 2024. Read here
Kangasniemi J, Mozumder M, Pulkkinen A, Tarvainen T: Stochastic Gauss-Newton method for estimating absorption and scattering in optical tomography with the Monte Carlo method for light transport. Biomedical Optics Express, 15(8):4925-4942, 2024. Read here
Khalili M, Göransson P, Hesthaven PS, Pasanen A, Vauhkonen M, Lähivaara T: Monitoring of water volume in a porous reservoir using seismic data: A 3D simulation study. Journal of Applied Geophysics 228, 105453, 2024. Read here
Kuusela P, Vauhkonen M: OOEIT: An open source object oriented electrical impedance tomography software package. Applied Mathematics for Modern Challenges 2 (2) 243-261, 2024. Read here
Lassas M, Liimatainen T, Potenciano-Machado L, Tyni T: An inverse problem for a semi-linear wave equation: a numerical study. Inverse Problems & Imaging, 18:1, 62-85, DOI:10.3934/ipi.2023022, 2024. Read here
Lesonen P, Wettenhovi VV, Kolehmainen V, Pulkkinen A, Vauhkonen M: Anatomy-guided multi-resolution image reconstruction in PET. Physics in Medicine & Biology 69 (10), 105023, 2024. Read here
Lindqvist, H., Kivimäki, E., Häkkilä, T., Tsuruta, A., Schneising, O., Buchwitz, M., Lorente, A., Martinez Velarte, M., Borsdorff, T., Alberti, C., Backman, L., Buschmann, M., Chen, H., Dubravica, D., Hase, F., Heikkinen, P., Karppinen, T., Kivi, R., McGee, E., Notholt, J., Rautiainen, K., Roche, S., Simpson, W., Strong, K., Tu, Q., Wunch, D., Aalto, T., and Tamminen, J: Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes, Remote Sens., 16, 2979 (2024). Read here
Lin Y-H, Tyni T, Zimmerman P: Well-posedness and inverse problems for semilinear nonlocal wave equations. Nonlinear analysis, 247, 113601, 2024. Read here
Meghdoot Mozumder, Pauliina Hirvi, Ilkka Nissilä, Andreas Hauptmann, Jorge Ripoll, David E. Singh: Diffuse optical tomography of the brain: effects of inaccurate baseline optical parameters and refinements using learned post-processing. Biomed. Opt. Express 15, 4470-4485, 2024. Read here
Mozumder M, Hirvi P, Nissilä I, Hauptmann A, Ripoll J, Singh DE: Diffuse optical tomography of the brain: effects of inaccurate baseline optical parameters and refinements using learned post-processing. Biomed. Opt. Expr. 15: 4470–4485, 2024. Read here
Poimala, Cox B, Hauptmann A: Compensating unknown speed of sound in learned fast 3D limited-view photoacoustic tomography. Photoacoustics 37 (2024): 100597. Read here
Qiao H, Jooshaki M, Rolle M, Lähivaara T, Vauhkonen M, Kauppila T, Muniruzzaman M: Hidden reactive transport neural network: A physics-and chemistry-informed accelerator for pyrite oxidation modeling. Goldschmidt Conference 2024. Read here
Shekhar S, Hirvi P, Maria A, Kotilahti K, Tuulari JJ, Karlsson L, Karlsson H, Nissilä I: Maternal prenatal depressive symptoms and child brain responses to affective touch at two years of age. J. Affect. Dis. 356: 177–189, 2024. Read here
Suhonen M, Pulkkinen A, Tarvainen T: Single-stage approach for estimating optical parameters in spectral quantitative photoacoustic tomography. Journal of the Optical Society of America A, 41(3):527-542, 2024. Read here
Tarvainen T, Cox B: Quantitative photoacoustic tomography: modelling and inverse problems. Journal of Biomedical Optics, 29(S1): S11509, 2024. Read here
Alexakis S, Stinchcombe A R, Tyni T: A boundary integral equation approach to electrical impedance tomography: experiments on the KTC2023 data. Applied Mathematics for Modern Challenges, 2024. Read here
Arif MZ, Lähivaara T, Vauhkonen M: Deep learning-assisted dual-modal tomography for phase flow rate estimation in two-phase oil-water flow systems. Science and Technology 35 (7), 07530, 2024. Read here
Blåsten E, Exner P, Isozaki H, Lassas M, Lu J: Inverse Problems for Locally Perturbed Lattices – Discrete Hamiltonian and Quantum Graph. To appear in Annales Henri Lebesgues, preprint: Read here
Brix MAK, Järvinen J, Bode MK, Nevalainen M, Nikki M, Niinimäki J, Lammentausta E: Financial impact of incorporating deep learning reconstruction into magnetic resonance imaging routine. Eur J Radiol. 2024. Read here
Casula V, Kajabi AW: Quantitative MRI methods for the assessment of structure, composition, and function of musculoskeletal tissues in basic research and preclinical applications. MAGMA. 2024 Jun 21. Read here
Covi G, Railo J, Tyni T, Zimmerman P: Stability estimates for the inverse fractional conductivity problem. SIAM J. Math. Anal. 56:2, DOI: 10.1137/22M1533542, 2024. Read here
Hauptmann A, Al-Rubaye M, Nieminen M, Brix M: A multi-filter and multi-scale U-Net for cone-beam computed tomography with hardware constraints. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), pp. 69-70. IEEE, (2024). Read here
Hauptmann A, Subhadip M, Carola-Bibiane S, Ferdia S: Convergent regularization in inverse problems and linear plug-and-play denoisers. Foundations of Computational Mathematics (2024), 1-34. Read here
Hänninen N, Pulkkinen A, Arridge S, Tarvainen T: Estimating absorption and scattering in quantitative photoacoustic tomography with an adaptive Monte Carlo method for light transport. Inverse Problems and Imaging, 18(5):1052-1077, 2024. Read here
Kangasniemi J, Mozumder M, Pulkkinen A, Tarvainen T: Stochastic Gauss-Newton method for estimating absorption and scattering in optical tomography with the Monte Carlo method for light transport. Biomedical Optics Express, 15(8):4925-4942, 2024. Read here
Khalili M, Göransson P, Hesthaven PS, Pasanen A, Vauhkonen M, Lähivaara T: Monitoring of water volume in a porous reservoir using seismic data: A 3D simulation study. Journal of Applied Geophysics 228, 105453, 2024. Read here
Kuusela P, Vauhkonen M: OOEIT: An open source object oriented electrical impedance tomography software package. Applied Mathematics for Modern Challenges 2 (2) 243-261, 2024. Read here
Lassas M, Liimatainen T, Potenciano-Machado L, Tyni T: An inverse problem for a semi-linear wave equation: a numerical study. Inverse Problems & Imaging, 18:1, 62-85, DOI:10.3934/ipi.2023022, 2024. Read here
Lesonen P, Wettenhovi VV, Kolehmainen V, Pulkkinen A, Vauhkonen M: Anatomy-guided multi-resolution image reconstruction in PET. Physics in Medicine & Biology 69 (10), 105023, 2024. Read here
Lindqvist, H., Kivimäki, E., Häkkilä, T., Tsuruta, A., Schneising, O., Buchwitz, M., Lorente, A., Martinez Velarte, M., Borsdorff, T., Alberti, C., Backman, L., Buschmann, M., Chen, H., Dubravica, D., Hase, F., Heikkinen, P., Karppinen, T., Kivi, R., McGee, E., Notholt, J., Rautiainen, K., Roche, S., Simpson, W., Strong, K., Tu, Q., Wunch, D., Aalto, T., and Tamminen, J: Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes, Remote Sens., 16, 2979 (2024). Read here
Lin Y-H, Tyni T, Zimmerman P: Well-posedness and inverse problems for semilinear nonlocal wave equations. Nonlinear analysis, 247, 113601, 2024. Read here
Meghdoot Mozumder, Pauliina Hirvi, Ilkka Nissilä, Andreas Hauptmann, Jorge Ripoll, David E. Singh: Diffuse optical tomography of the brain: effects of inaccurate baseline optical parameters and refinements using learned post-processing. Biomed. Opt. Express 15, 4470-4485, 2024. Read here
Mozumder M, Hirvi P, Nissilä I, Hauptmann A, Ripoll J, Singh DE: Diffuse optical tomography of the brain: effects of inaccurate baseline optical parameters and refinements using learned post-processing. Biomed. Opt. Expr. 15: 4470–4485, 2024. Read here
Poimala, Cox B, Hauptmann A: Compensating unknown speed of sound in learned fast 3D limited-view photoacoustic tomography. Photoacoustics 37 (2024): 100597. Read here
Qiao H, Jooshaki M, Rolle M, Lähivaara T, Vauhkonen M, Kauppila T, Muniruzzaman M: Hidden reactive transport neural network: A physics-and chemistry-informed accelerator for pyrite oxidation modeling. Goldschmidt Conference 2024. Read here
Shekhar S, Hirvi P, Maria A, Kotilahti K, Tuulari JJ, Karlsson L, Karlsson H, Nissilä I: Maternal prenatal depressive symptoms and child brain responses to affective touch at two years of age. J. Affect. Dis. 356: 177–189, 2024. Read here
Suhonen M, Pulkkinen A, Tarvainen T: Single-stage approach for estimating optical parameters in spectral quantitative photoacoustic tomography. Journal of the Optical Society of America A, 41(3):527-542, 2024. Read here
Tarvainen T, Cox B: Quantitative photoacoustic tomography: modelling and inverse problems. Journal of Biomedical Optics, 29(S1): S11509, 2024. Read here
Marata L, López O, Hauptmann A, Djelouat H, Alves H: Joint activity detection and channel estimation for clustered massive machine type communications. IEEE Transactions on Wireless Communications 23, no. 6 (2023): 5473 – 5487. Read here