Independent component approach to the analysis of EEG and MEG recordings R Vigário, J Sarela, V Jousmiki, M Hamalainen, E Oja IEEE transactions on biomedical engineering 47 (5), 589-593, 2000 | 1008 | 2000 |
Extraction of ocular artefacts from EEG using independent component analysis RN Vigário Electroencephalography and clinical neurophysiology 103 (3), 395-404, 1997 | 885 | 1997 |
A class of neural networks for independent component analysis J Karhunen, E Oja, L Wang, R Vigario, J Joutsensalo IEEE Transactions on neural networks 8 (3), 486-504, 1997 | 644 | 1997 |
Independent component analysis for identification of artifacts in magnetoencephalographic recordings R Vigário, V Jousmäki, M Hämäläinen, R Hari, E Oja Advances in neural information processing systems 10, 1997 | 333 | 1997 |
Applications of neural blind separation to signal and image processing J Karhunen, A Hyvarinen, R Vigário, J Hurri, E Oja 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 161 | 1997 |
Nonlinear PCA: a new hierarchical approach. M Scholz, R Vigário Esann, 439-444, 2002 | 139 | 2002 |
Overlearning in marginal distribution-based ICA: analysis and solutions J Särelä, R Vigário The Journal of Machine Learning Research 4, 1447-1469, 2003 | 134 | 2003 |
Neural networks for blind separation with unknown number of sources A Cichocki, J Karhunen, W Kasprzak, R Vigario Neurocomputing 24 (1-3), 55-93, 1999 | 129 | 1999 |
Extraction of event-related signals from multichannel bioelectrical measurements AK Barros, R Vigário, V Jousmaki, N Ohnishi IEEE transactions on biomedical engineering 47 (5), 583-588, 2000 | 110 | 2000 |
BSS and ICA in neuroinformatics: from current practices to open challenges R Vigario, E Oja IEEE reviews in biomedical engineering 1, 50-61, 2008 | 97 | 2008 |
Principal and independent components in neural networks-recent developments E Oja, J Karhunen, L Wang, R Vigario Proc. VII Italian Workshop Neural Networks WIRN 95, 16-35, 1996 | 80 | 1996 |
Independence: A new criterion for the analysis of the electromagnetic fields in the global brain? R Vigário, E Oja Neural networks 13 (8-9), 891-907, 2000 | 73 | 2000 |
Analyzing consistency of independent components: An fMRI illustration J Ylipaavalniemi, R Vigário NeuroImage 39 (1), 169-180, 2008 | 70 | 2008 |
Nonlinear PCA type approaches for source separation and independent component analysis J Karhunen, L Wang, R Vigario Proceedings of ICNN'95-International Conference on Neural Networks 2, 995-1000, 1995 | 69 | 1995 |
Blind source separation techniques for decomposing event-related brain signals KR Müller, R Vigario, F Meinecke, A Ziehe International Journal of Bifurcation and Chaos 14 (02), 773-791, 2004 | 64 | 2004 |
Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli J Ylipaavalniemi, E Savia, S Malinen, R Hari, R Vigário, S Kaski NeuroImage 48 (1), 176-185, 2009 | 47 | 2009 |
Independent component analysis in wave decomposition of auditory evoked fields R Vigário, J Särelä, E Oja ICANN 98: Proceedings of the 8th International Conference on Artificial …, 1998 | 40 | 1998 |
Independent component analysis in decomposition of auditory and somatosensory evoked fields R Vigário Proceedings of the International Workshop on Independent Component Analysis …, 1999 | 38 | 1999 |
Self-supervised MRI tissue segmentation by discriminative clustering N Goncalves, J Nikkilä, R Vigario International journal of neural systems 24 (01), 1450004, 2014 | 33 | 2014 |
Early-stage white matter lesions detected by multispectral MRI segmentation predict progressive cognitive decline H Jokinen, N Gonçalves, R Vigário, J Lipsanen, F Fazekas, R Schmidt, ... Frontiers in neuroscience 9, 455, 2015 | 30 | 2015 |