Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series.
M. Jarmasz, und R. Somorjai. Artificial Intelligence in Medicine, 25 (1):
45-67(2002)
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%0 Journal Article
%1 journals/artmed/JarmaszS02
%A Jarmasz, Mario
%A Somorjai, Ray L.
%D 2002
%J Artificial Intelligence in Medicine
%K dblp
%N 1
%P 45-67
%T Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series.
%U http://dblp.uni-trier.de/db/journals/artmed/artmed25.html#JarmaszS02
%V 25
@article{journals/artmed/JarmaszS02,
added-at = {2018-11-14T00:00:00.000+0100},
author = {Jarmasz, Mario and Somorjai, Ray L.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/25d146cc325bed1c9b686c1554303251b/dblp},
ee = {https://www.wikidata.org/entity/Q48606641},
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intrahash = {5d146cc325bed1c9b686c1554303251b},
journal = {Artificial Intelligence in Medicine},
keywords = {dblp},
number = 1,
pages = {45-67},
timestamp = {2019-09-27T07:47:02.000+0200},
title = {Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series.},
url = {http://dblp.uni-trier.de/db/journals/artmed/artmed25.html#JarmaszS02},
volume = 25,
year = 2002
}
