Mikko Nuutinen
Mikko Nuutinen
Senior Data Scientist
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
The relative proportion of comorbidities among rhinitis and rhinosinusitis patients and their impact on visit burden
M Nuutinen, A Lyly, P Virkkula, M Hytönen, E Saarentaus, A Mäkitie, ...
Clinical and Translational Allergy 12 (7), e12181, 2022
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
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
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
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
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
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