Pypes: Workflows for Processing Multimodal Neuroimaging Data

Every year, enormous amounts of scientific data are made available to the public (Poline et al., 2012). This trend is due to an increasing demand for transparency, efficiency, and reproducibility. Neuroimaging is a salient example of this trend.In response to the growing concern about the need of pu...

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Veröffentlicht in:	Frontiers in neuroinformatics Jg. 11; S. 25
Hauptverfasser:	Savio, Alexandre M., Schutte, Michael, Graña, Manuel, Yakushev, Igor
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 11.04.2017 Frontiers Media S.A
Schlagworte:	Alzheimer's disease Artificial intelligence Brain research Data processing Dementia Image processing Library collections Machine learning Medical imaging Metabolism Neuroimaging Neuroscience NMR Nuclear magnetic resonance Software Germany Spain brain connectivity brain imaging denoising python MRI registration image analysis PET
ISSN:	1662-5196, 1662-5196
Online-Zugang:	Volltext
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