VILLE KOLEHMAINEN
Professori
The research areas of the team of Prof. Kolehmainen are computational inverse problems and uncertainty quantification. The main part of the research is on development of mathematical models and computational inverse problems methods for image reconstruction in medical tomography imaging techniques such as X-ray tomography, diffuse tomography and MRI. The research team actively collaborates with system experts and clinical specialists on development of novel imaging techniques, which typically involve fusion of different types of imaging data and lead to large scale 3D or 4D imaging with sparse measurement data
Yhteystiedot
Organisaatio
Luonnontieteiden ja metsätieteiden tiedekunta, Sovelletun fysiikan laitos
Sähköposti
ville.kolehmainen@uef.fi
Puhelin
040 355 2054
Avainsanat
Julkaisut
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Hanhela, Matti; Kettunen, Mikko; Gröhn, Olli; Vauhkonen, Marko; Kolehmainen, Ville. 2020. Temporal Huber Regularization for DCE-MRI Journal of mathematical imaging and vision 62: 1334-1346. 2020
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Toivanen, Jussi; Meaney, Alexander; Siltanen, Samuli; Kolehmainen, Ville. 2020. Joint reconstruction in low dose multi-energy CT Inverse problems and imaging 14 4: 607-629. 2020
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Liang, Guanghui; Dong, Feng; Kolehmainen, Ville; Vauhkonen, Marko; Ren, Shangjie. 2020. Nonstationary Image Reconstruction in Ultrasonic Transmission Tomography Using Kalman Filter and Dimension Reduction IEEE transactions on instrumentation and measurement 2021; 70: 4501012. 2020
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Parameter Selection in Dynamic Contrast-Enhanced Magnetic Resonance Tomography. Niinimäki, Kati; Hanhela, Matti; Kolehmainen, Ville / Mathematical and Numerical Approaches for Multi-Wave Inverse Problems. 2020. 2020
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Hamilton, S J; Hänninen, A; Hauptmann, A; Kolehmainen, V. 2019. Beltrami-net : domain-independent deep D-bar learning for absolute imaging with electrical impedance tomography (a-EIT) Physiological measurement 40 7: 74002. 2019
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Kolehmainen, Ville; Ehrhardt, Matthias J; Arridge, Simon R. 2019. Incorporating structural prior information and sparsity into EIT using parallel level sets Inverse problems and imaging 13 2: 285-307. 2019
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Abreu, Luiz AS; Orlande, Helcio RB; Colaço, Marcelo J; Kaipio, Jari; Kolehmainen, Ville; Pacheco, César C; Cotta, Renato M. 2018. Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements International journal of thermal sciences 132: 486-497. 2018
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Lipponen, A; Huttunen, JMJ; Romakkaniemi, S; Kokkola, H; Kolehmainen, V. 2018. Correction of Model Reduction Errors in Simulations Siam journal on scientific computing 40 1: B305-B327. 2018
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Lipponen, Antti; Mielonen, Tero; Pitkänen, Mikko R A; Levy, Robert C; Sawyer, Virginia R; Romakkaniemi, Sami; Kolehmainen, Ville; Arola, Antti. 2018. Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land. Atmospheric Measurement Techniques 11 3: 1529-1547. 2018
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Nykänen, O; Rieppo, L; Töyräs, J; Kolehmainen, V; Saarakkala, S; Shmueli, K; Nissi, MJ. 2018. Quantitative susceptibility mapping of articular cartilage: Ex vivo findings at multiple orientations and following different degradation treatments Magnetic resonance in medicine 80 6: 2702-2716. 2018