Tarmo Lipping
Tarmo Lipping
Tampere University of Technology
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Crop yield prediction with deep convolutional neural networks
P Nevavuori, N Narra, T Lipping
Computers and electronics in agriculture 163, 104859, 2019
Comparison of entropy and complexity measures for the assessment of depth of sedation
R Ferenets, T Lipping, A Anier, V Jantti, S Melto, S Hovilehto
IEEE Transactions on Biomedical Engineering 53 (6), 1067-1077, 2006
Crop yield prediction using multitemporal UAV data and spatio-temporal deep learning models
P Nevavuori, N Narra, P Linna, T Lipping
Remote Sensing 12 (23), 4000, 2020
Behavior of entropy/complexity measures of the electroencephalogram during propofol-induced sedation: dose-dependent effects of remifentanil
R Ferenets, A Vanluchene, T Lipping, B Heyse, MMRF Struys
The Journal of the American Society of Anesthesiologists 106 (4), 696-706, 2007
Non-linear algorithms for processing biological signals
S Cerutti, G Carrault, PJM Cluitmans, A Kinie, T Lipping, N Nikolaidis, ...
Computer methods and programs in biomedicine 51 (1-2), 51-73, 1996
Propofol and remifentanil differentially modulate frontal electroencephalographic activity
DTJ Liley, NC Sinclair, T Lipping, B Heyse, HEM Vereecke, MMRF Struys
The Journal of the American Society of Anesthesiologists 113 (2), 292-304, 2010
Patient-specific seizure detection using nonlinear dynamics and nullclines
M Zabihi, S Kiranyaz, V Jäntti, T Lipping, M Gabbouj
IEEE journal of biomedical and health informatics 24 (2), 543-555, 2019
Remote sensing of forest health
J Tuominen, T Lipping, V Kuosmanen, R Haapanen
Geoscience and remote sensing, 29-52, 2009
Comparison of the properties of EEG spindles in sleep and propofol anesthesia
R Ferenets, T Lipping, P Suominen, J Turunen, P Puumala, V Jantti, ...
2006 International Conference of the IEEE Engineering in Medicine and …, 2006
Relationship between approximate entropy and visual inspection of irregularity in the EEG signal, a comparison with spectral entropy
A Anier, T Lipping, R Ferenets, P Puumala, E Sonkajärvi, I Rätsep, ...
British journal of anaesthesia 109 (6), 928-934, 2012
Higuchi fractal dimension and spectral entropy as measures of depth of sedation in intensive care unit
A Anier, T Lipping, S Melto, S Hovilehto
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
Neural mass model-based tracking of anesthetic brain states
L Kuhlmann, DR Freestone, JH Manton, B Heyse, HEM Vereecke, ...
NeuroImage 133, 438-456, 2016
Effects of hypoxia on the complexity of respiratory patterns during maturation
M Akay, T Lipping, K Moodie, PJ Hoopes
Early human development 70 (1-2), 55-71, 2002
Entropy of the EEG in transition to burst suppression in deep anesthesia: Surrogate analysis
A Anier, T Lipping, V Jäntti, P Puumala, AM Huotari
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
Assessment of objective voice quality over best-effort networks
J Turunen, P Loula, T Lipping
Computer Communications 28 (5), 582-588, 2005
Adaptive segmentation of burst-suppression pattern in isoflurane and enflurane anesthesia
T Lipping, V Jäntti, A Yli-Hankala, K Hartikainen
International journal of clinical monitoring and computing 12, 161-167, 1995
Prediction of outcome in traumatic brain injury patients using long-term qEEG features
A Mikola, I Rätsep, M Särkelä, T Lipping
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Detection of environmental change using hyperspectral remote sensing at Olkiluoto repository site
J Tuominen, T Lipping
Posiva Oy, 2011
Spectral characteristics of common reed beds: studies on spatial and temporal variability
J Tuominen, T Lipping
Remote Sensing 8 (3), 181, 2016
Atmospheric correction of hyperspectral data using combined empirical and model based method
J Tuominen, T Lipping
Proceedings of the 31st EARSeL Symposium, 2011
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Articles 1–20