Shape fidelity and structure of 3D printed high consistency nanocellulose V Klar, J Pere, T Turpeinen, P Kärki, H Orelma, P Kuosmanen Scientific reports 9 (1), 3822, 2019 | 54 | 2019 |
A prospect for computing in porous materials research: Very large fluid flow simulations K Mattila, T Puurtinen, J Hyväluoma, R Surmas, M Myllys, T Turpeinen, ... Journal of Computational Science 12, 62-76, 2016 | 48 | 2016 |
Classification and retrieval on macroinvertebrate image databases S Kiranyaz, T Ince, J Pulkkinen, M Gabbouj, J Ärje, S Kärkkäinen, ... Computers in biology and medicine 41 (7), 463-472, 2011 | 47 | 2011 |
Effects of diet-induced obesity and voluntary wheel running on the microstructure of the murine distal femur H Ma, T Turpeinen, M Silvennoinen, S Torvinen, R Rinnankoski-Tuikka, ... Nutrition & metabolism 8, 1-11, 2011 | 42 | 2011 |
Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates H Joutsijoki, K Meissner, M Gabbouj, S Kiranyaz, J Raitoharju, J Ärje, ... Ecological Informatics 20, 1-12, 2014 | 33 | 2014 |
Microstructure, porosity and mineralogy around fractures in Olkiluoto bedrock J Kuva, M Siitari-Kauppi, A Lindberg, I Aaltonen, T Turpeinen, M Myllys, ... Engineering geology 139, 28-37, 2012 | 32 | 2012 |
Dynamics and interactions of parvoviral NS1 protein in the nucleus TO Ihalainen, EA Niskanen, J Jylhävä, T Turpeinen, J Rinne, J Timonen, ... Cellular microbiology 9 (8), 1946-1959, 2007 | 31 | 2007 |
Intrusion of nonwetting liquid in paper J Hyväluoma, T Turpeinen, P Raiskinmäki, A Jäsberg, A Koponen, ... Physical Review E 75 (3), 036301, 2007 | 24 | 2007 |
Pipe rheology of microfibrillated cellulose suspensions T Turpeinen, A Jäsberg, S Haavisto, J Liukkonen, J Salmela, AI Koponen Cellulose 27, 141-156, 2020 | 22 | 2020 |
The number of contacts in random fibre networks A Ekman, A Miettinen, T Turpeinen, K Backfolk, J Timonen Nordic Pulp & Paper Research Journal 27 (2), 270-276, 2012 | 22 | 2012 |
Cellulose nanofibrils prepared by gentle drying methods reveal the limits of helium ion microscopy imaging AE Ketola, M Leppänen, T Turpeinen, P Papponen, A Strand, A Sundberg, ... RSC advances 9 (27), 15668-15677, 2019 | 19 | 2019 |
Improving compression recovery of foam-formed fiber materials S Paunonen, O Timofeev, K Torvinen, T Turpeinen, JA Ketoja BioResources 13 (2), 4058-4074, 2018 | 19 | 2018 |
Dependence of thermal conductivity on structural parameters in porous samples L Miettinen, P Kekäläinen, T Turpeinen, J Hyväluoma, J Merikoski, ... AIP Advances 2 (1), 2012 | 19 | 2012 |
Understanding extensibility of paper: role of fiber elongation and fiber bonding J Kouko, T Turpeinen, A Kulachenko, U Hirn, E Retulainen Tappi J 19 (3), 125-135, 2020 | 17 | 2020 |
Imaging connected porosity of crystalline rock by contrast agent‐aided X‐ray microtomography and scanning electron microscopy J Kuva, J Sammaljärvi, J Parkkonen, M SIITARI‐KAUPPI, M Lehtonen, ... Journal of Microscopy 270 (1), 98-109, 2018 | 16 | 2018 |
A stochastic shape and orientation model for fibres with an application to carbon nanotubes S Kärkkäinen, A Miettinen, T Turpeinen, J Nyblom, P Pötschke, J Timonen Image Analysis and Stereology 31 (1), 17-26, 2012 | 16 | 2012 |
Analysis of microtomographic images of porous heterogeneous materials T Turpeinen Jyväskylä studies in computing, 2015 | 13 | 2015 |
Statistical classification and proportion estimation-an application to a macroinvertebrate image database J Ärje, S Kärkkäinen, K Meissner, T Turpeinen 2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010 | 12 | 2010 |
On-chip purification via liquid immersion of arc-discharge synthesized multiwalled carbon nanotubes MJ Hokkanen, S Lautala, D Shao, T Turpeinen, J Koivistoinen, M Ahlskog Applied Physics A 122, 1-8, 2016 | 11 | 2016 |
Interface detection using a quenched-noise version of the Edwards–Wilkinson equation T Turpeinen, M Myllys, P Kekäläinen, J Timonen IEEE Transactions on Image Processing 24 (12), 5696-5705, 2015 | 10 | 2015 |