Beyond noise: using temporal ICA to extract meaningful information from high-frequency fMRI signal fluctuations during rest by Roland Norbert Boubela, Roland Norbert Boubela, Roland Norbert Boubela, Klaudius eKalcher, Klaudius eKalcher, Klaudius eKalcher, Wolfgang eHuf, Wolfgang eHuf, Wolfgang eHuf, Wolfgang eHuf, Claudia eKronnerwetter, Claudia eKronnerwetter, Peter eFilzmoser, Ewald eMoser, Ewald eMoser

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Identification of Voxels Confounded by Venous Signals Using Resting-State fMRI Functional Connectivity Graph Clustering by Klaudius eKalcher, Klaudius eKalcher, Roland N Boubela, Roland N Boubela, Wolfgang eHuf, Wolfgang eHuf, Christian eNasel, Ewald eMoser, Ewald eMoser, Ewald eMoser

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On the Generalizability of Resting-State fMRI Machine Learning Classifiers by Wolfgang eHuf, Wolfgang eHuf, Wolfgang eHuf, Klaudius eKalcher, Klaudius eKalcher, Klaudius eKalcher, Roland N Boubela, Roland N Boubela, Roland N Boubela, Georg eRath, Georg eRath, Andreas eVecsei, Peter eFilzmoser, Ewald eMoser, Ewald eMoser, Ewald eMoser

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Fully Exploratory Network Independent Component Analysis of the 1000 Functional Connectomes Database by Klaudius eKalcher, Klaudius eKalcher, Wolfgang eHuf, Wolfgang eHuf, Wolfgang eHuf, Roland Norbert Boubela, Roland Norbert Boubela, Peter eFilzmoser, Lukas ePezawas, Bharat B. Biswal, Siegfried eKasper, Ewald eMoser, Christian eWindischberger

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Scanning fast and slow: current limitations of 3 Tesla functional MRI and future potential by Roland N Boubela, Klaudius eKalcher, Christian eNasel, Christian eNasel, Ewald eMoser, Ewald eMoser

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Big Data approaches for the analysis of large-scale fMRI data using Apache Spark and GPU processing: A demonstration on resting-state fMRI data from the Human Connectome Project by Roland N Boubela, Klaudius eKalcher, Wolfgang eHuf, Christian eNasel, Ewald eMoser, Ewald eMoser

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