CID2013: A database for evaluating no-reference image quality assessment algorithms T Virtanen, M Nuutinen, M Vaahteranoksa, P Oittinen, J Häkkinen IEEE Transactions on Image Processing 24 (1), 390-402, 2014 | 180 | 2014 |
Method for measuring stereo camera depth accuracy based on stereoscopic vision M Kytö, M Nuutinen, P Oittinen Three-dimensional imaging, interaction, and measurement 7864, 168-176, 2011 | 157 | 2011 |
CVD2014—A database for evaluating no-reference video quality assessment algorithms M Nuutinen, T Virtanen, M Vaahteranoksa, T Vuori, P Oittinen, J Häkkinen IEEE Transactions on Image Processing 25 (7), 3073-3086, 2016 | 150 | 2016 |
Development and validation of classifiers and variable subsets for predicting nursing home admission M Nuutinen, RL Leskelä, E Suojalehto, A Tirronen, V Komssi BMC medical informatics and decision making 17, 1-12, 2017 | 21 | 2017 |
Method for evaluating tone mapping operators for natural high dynamic range images M Kuhna, M Nuutinen, P Oittinen Digital Photography VII 7876, 235-246, 2011 | 20 | 2011 |
A framework for measuring sharpness in natural images captured by digital cameras based on reference image and local areas M Nuutinen, O Orenius, T Säämänen, P Oittinen EURASIP Journal on Image and Video Processing 2012, 1-15, 2012 | 19 | 2012 |
VQone MATLAB toolbox: a graphical experiment builder for image and video quality evaluations: VQone MATLAB toolbox M Nuutinen, T Virtanen, O Rummukainen, J Häkkinen Behavior research methods 48, 138-150, 2016 | 15 | 2016 |
Image feature subsets for predicting the quality of consumer camera images and identifying quality dimensions M Nuutinen, T Virtanen, P Oittinen Journal of Electronic Imaging 23 (6), 061111-061111, 2014 | 15 | 2014 |
Validation of the Lean Healthcare Implementation Self-Assessment Instrument (LHISI) in the finnish healthcare context E Reponen, R Jokela, JC Blodgett, TG Rundall, SM Shortell, M Nuutinen, ... BMC Health Services Research 21, 1-9, 2021 | 14 | 2021 |
A new method for evaluating the subjective image quality of photographs: dynamic reference M Nuutinen, T Virtanen, T Leisti, T Mustonen, J Radun, J Häkkinen Multimedia Tools and Applications 75, 2367-2391, 2016 | 14 | 2016 |
Eosinophilia, asthma, NERD and the use of oral corticosteroids predict uncontrolled chronic rhinosinusitis with nasal polyps after surgery E Penttilä, S Sillanpää, SI Vento, J Myller, A Koskinen, ... Asian Pac J Allergy Immunol 10, 2021 | 12 | 2021 |
Are preparedness indices reflective of pandemic preparedness? A COVID-19 reality check H Kachali, I Haavisto, RL Leskelä, A Väljä, M Nuutinen International Journal of Disaster Risk Reduction 77, 103074, 2022 | 11 | 2022 |
Development and measurement of the goodness of test images for visual print quality evaluation R Halonen, M Nuutinen, R Asikainen, P Oittinen Image Quality and System Performance VII 7529, 78-87, 2010 | 11 | 2010 |
CFS MATLAB toolbox: An experiment builder for continuous flash suppression (CFS) task M Nuutinen, T Mustonen, J Häkkinen Behavior research methods 50, 1933-1942, 2018 | 8 | 2018 |
Developing and validating models for predicting nursing home admission using only RAI-HC instrument data M Nuutinen, RL Leskelä, P Torkki, E Suojalehto, A Tirronen, V Komssi Informatics for Health and Social Care 45 (3), 292-308, 2020 | 7 | 2020 |
Outcomes of lipid control in secondary prevention of coronary artery disease in Finland: a 24-month follow-up after acute coronary syndrome RL Leskelä, A Torvinen, TT Rissanen, V Virtanen, F Herse, M Nuutinen, ... Atherosclerosis 296, 4-10, 2020 | 7 | 2020 |
Performance measure of image and video quality assessment algorithms: subjective root-mean-square error M Nuutinen, T Virtanen, J Häkkinen Journal of Electronic Imaging 25 (2), 023012-023012, 2016 | 7 | 2016 |
Comparison of colour difference methods for natural images H Kivinen, M Nuutinen, P Oittinen Conference on Colour in Graphics, Imaging, and Vision 5, 510-515, 2010 | 7 | 2010 |
Personalized risk analysis to improve the psychological resilience of women undergoing treatment for breast cancer: Development of a machine learning–driven clinical decision … G C Manikis, NJ Simos, K Kourou, H Kondylakis, P Poikonen-Saksela, ... Journal of Medical Internet Research 25, e43838, 2023 | 6 | 2023 |
Did You Notice It?—How Can We Predict the Subjective Detection of Video Quality Changes From Eye Movements? J Radun, M Nuutinen, JN Antons, S Arndt IEEE Journal of Selected Topics in Signal Processing 11 (1), 37-47, 2017 | 6 | 2017 |