Articles with public access mandates - Janne HuttunenLearn more
Not available anywhere: 3
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
Mandates: Finnish Funding Agency for Innovation
Deep learning-based groundwater storage estimation from seismic data
T Lähivaara, A Malehmir, A Pasanen, L Kärkkäinen, JMJ Huttunen, ...
Second EAGE Conference on Seismic Inversion 2022 (1), 1-5, 2022
Mandates: Academy of Finland
Estimation of Systematic and Spatially Correlated Components of Random Signals from Repeated Measurements: Application to Contrast Enhanced Computer Tomography Measurements
JMJ Huttunen, MJ Turunen, JTJ Honkanen, J Toyras, JS Jurvelin
SIAM Journal on Scientific Computing 38 (1), B77-B99, 2016
Mandates: Academy of Finland
Available somewhere: 19
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
Mandates: Academy of Finland, European Commission
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
Mandates: US National Institutes of Health, Academy of Finland
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
Mandates: Academy of Finland
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
Mandates: Finnish Funding Agency for Innovation
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
Mandates: Academy of Finland, UK Engineering and Physical Sciences Research Council …
Estimation of groundwater storage from seismic data using deep learning
T Lähivaara, A Malehmir, A Pasanen, L Kärkkäinen, JMJ Huttunen, ...
Geophysical Prospecting, 2019
Mandates: Academy of Finland, Swedish Research Council for Environment, Agricultural …
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
Mandates: Academy of Finland
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
Mandates: Academy of Finland
HybridDeepRx: Deep learning receiver for high-EVM signals
J Pihlajasalo, D Korpi, M Honkala, JMJ Huttunen, T Riihonen, J Talvitie, ...
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile …, 2021
Mandates: Academy of Finland, Business Finland
Deep learning OFDM receivers for improved power efficiency and coverage
J Pihlajasalo, D Korpi, M Honkala, JMJ Huttunen, T Riihonen, J Talvitie, ...
IEEE Transactions on Wireless Communications 22 (8), 5518-5535, 2023
Mandates: Academy of Finland, Business Finland
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
Mandates: Academy of Finland
Artificial boundary conditions and domain truncation in electrical impedance tomography. part ii: Stochastic extension of the boundary map
D Calvetti, PJ Hadwin, JM Huttunen, JP Kaipio, E Somersalo
Inverse Problems & Imaging 9 (3), 767-789, 2015
Mandates: Academy of Finland
DeepTx: Deep Learning Beamforming with Channel Prediction
JMJ Huttunen, D Korpi, M Honkala
IEEE Transactions on Wireless Communications 22 (3), 1855 - 1867, 2022
Mandates: European Commission, Business Finland
Correction of model reduction errors in simulations
A Lipponen, JMJ Huttunen, S Romakkaniemi, H Kokkola, V Kolehmainen
SIAM Journal on Scientific Computing 40 (1), B305-B327, 2018
Mandates: Academy of Finland
Deep learning based OFDM physical-layer receiver for extreme mobility
J Pihlajasalo, D Korpi, M Honkala, JMJ Huttunen, T Riihonen, J Talvitie, ...
2021 55th Asilomar Conference on Signals, Systems, and Computers, 395-399, 2021
Mandates: Academy of Finland, Business Finland
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto–Sivashinsky equation
JMJ Huttunen, JP Kaipio, H Haario
Computational Statistics & Data Analysis 123, 13-31, 2018
Mandates: Academy of Finland
Elliptic boundary value problems with Gaussian white noise loads
S Lasanen, L Roininen, JMJ Huttunen
Stochastic Processes and their Applications 128 (11), 3607-3627, 2018
Mandates: Academy of Finland, European Commission
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