| WHITTLE-MATÉRN PRIORS FOR BAYESIAN STATISTICAL INVERSION WITH APPLICATIONS IN ELECTRICAL IMPEDANCE TOMOGRAPHY. L Roininen, JMJ Huttunen, S Lasanen Inverse Problems & Imaging 8 (2), 2014 | 147 | 2014 |
| DeepRx: Fully convolutional deep learning receiver M Honkala, D Korpi, JMJ Huttunen IEEE Transactions on Wireless Communications 20 (6), 3925-3940, 2021 | 115 | 2021 |
| Approximation errors in nonstationary inverse problems JMJ Huttunen, JP Kaipio, E Somersalo Inverse problems and imaging 1 (1), 77, 2007 | 77 | 2007 |
| Approximation error analysis in nonlinear state estimation with an application to state-space identification JMJ Huttunen, JP Kaipio Inverse Problems 23 (5), 2141, 2007 | 65 | 2007 |
| Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography T Lähivaara, L Kärkkäinen, JMJ Huttunen, JS Hesthaven The Journal of the Acoustical Society of America 143 (2), 1148-1158, 2018 | 64 | 2018 |
| MRI contrasts in high rank rotating frames T Liimatainen, H Hakkarainen, S Mangia, JMJ Huttunen, C Storino, ... Magnetic resonance in medicine 73 (1), 254-262, 2015 | 59 | 2015 |
| Dynamic inversion for hydrological process monitoring with electrical resistance tomography under model uncertainties A Lehikoinen, JMJ Huttunen, S Finsterle, MB Kowalsky, JP Kaipio Water resources research 46 (4), 2010 | 59 | 2010 |
| Experimental evaluation of 3D electrical impedance tomography with total variation prior G González, JMJ Huttunen, V Kolehmainen, A Seppänen, M Vauhkonen Inverse Problems in Science and Engineering 24 (8), 1411-1431, 2016 | 54 | 2016 |
| Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data JMJ Huttunen, L Kärkkäinen, H Lindholm PLoS computational biology 15 (8), e1007259, 2019 | 46 | 2019 |
| Determination of heterogeneous thermal parameters using ultrasound induced heating and MR thermal mapping JMJ Huttunen, T Huttunen, M Malinen, JP Kaipio Physics in Medicine & Biology 51 (4), 1011, 2006 | 44 | 2006 |
| Cauchy difference priors for edge-preserving Bayesian inversion M Markkanen, L Roininen, JMJ Huttunen, S Lasanen Journal of Inverse and Ill-posed Problems 27 (2), 225-240, 2019 | 40* | 2019 |
| Estimation of groundwater storage from seismic data using deep learning T Lähivaara, A Malehmir, A Pasanen, L Kärkkäinen, JMJ Huttunen, ... Geophysical Prospecting, 2019 | 35 | 2019 |
| 3D thermal tomography with experimental measurement data JM Toivanen, T Tarvainen, JMJ Huttunen, T Savolainen, HRB Orlande, ... International Journal of Heat and Mass Transfer 78, 1126-1134, 2014 | 34 | 2014 |
| DeepRx MIMO: Convolutional MIMO detection with learned multiplicative transformations D Korpi, M Honkala, JMJ Huttunen, V Starck ICC 2021-IEEE International Conference on Communications, 1-7, 2021 | 32 | 2021 |
| Importance sampling approach for the nonstationary approximation error method JMJ Huttunen, A Lehikoinen, J Hämäläinen, JP Kaipio Inverse Problems 26 (12), 125003, 2010 | 29 | 2010 |
| Model reduction in state identification problems with an application to determination of thermal parameters JMJ Huttunen, JP Kaipio Applied Numerical Mathematics 59 (5), 877-890, 2009 | 29 | 2009 |
| Artificial boundary conditions and domain truncation in electrical impedance tomography. part i: Theory and preliminary results D Calvetti, PJ Hadwin, JM Huttunen, D Isaacson, JP Kaipio, D McGivney, ... Inverse Problems and Imaging 9 (3), 749-766, 2015 | 22 | 2015 |
| Thermal tomography utilizing truncated Fourier series approximation of the heat diffusion equation JM Toivanen, T Tarvainen, JMJ Huttunen, T Savolainen, A Pulkkinen, ... International Journal of Heat and Mass Transfer 108, 860-867, 2017 | 17 | 2017 |
| Discretization error in dynamical inverse problems: one-dimensional model case JMJ Huttunen, HK Pikkarainen Walter de Gruyter 15 (4), 365-386, 2007 | 16 | 2007 |
| Deep learning for prediction of cardiac indices from photoplethysmographic waveform: a virtual database approach JMJ Huttunen, L Kärkkäinen, M Honkala, H Lindholm International Journal for Numerical Methods in Biomedical Engineering 36 (3 …, 2020 | 15 | 2020 |
Jari KaipioUniversity of AucklandGeverifieerd e-mailadres voor math.auckland.ac.nz
