PRoNTo: Pattern Recognition for Neuroimaging Toolbox

In the past years, mass univariate statistical analyses of neuroimaging data have been complemented by the use of multivariate pattern analyses, especially based on machine learning models. While these allow an increased sensitivity for the detection of spatially distributed effects compared to univ...

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Vydáno v:	Neuroinformatics (Totowa, N.J.) Ročník 11; číslo 3; s. 319 - 337
Hlavní autoři:	Schrouff, J., Rosa, M. J., Rondina, J. M., Marquand, A. F., Chu, C., Ashburner, J., Phillips, C., Richiardi, J., Mourão-Miranda, J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Boston Springer US 01.07.2013 Springer Springer Nature B.V Humana Press
Témata:	Age Factors Algorithms Applied sciences Artificial intelligence Bioinformatics Biological and medical sciences Biomedical and Life Sciences Biomedicine Brain - physiology Brain Mapping Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer science; control theory; systems Computer Simulation Engineering, computing & technology Exact sciences and technology Human health sciences Humans image analysis Image Processing, Computer-Assisted Ingénierie, informatique & technologie Investigative techniques, diagnostic techniques (general aspects) Learning and adaptive systems Likelihood Functions machine learning Medical sciences Multivariate Analysis multivariate pattern analysis Nervous system Neuroimaging Neurology Neurosciences Original Original Article Pattern Recognition, Automated Pattern recognition. Digital image processing. Computational geometry Predictive Value of Tests Radiodiagnosis. Nmr imagery. Nmr spectrometry Radionuclide investigations Sciences de la santé humaine Software toolbox Image analysis Neuroimaging software Pattern recognition MVPA Machine learning Computer vision Data analysis Statistical analysis Software development Image processing Cognition Multivariate analysis Modeling Open source software Encephalon Statistical data Cognitive theory Neuroscience Medical imagery Pattern analysis Artificial intelligence Medical application
ISSN:	1539-2791, 1559-0089, 1559-0089
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