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Machine learning in resting-state fMRI analysis

Machine learning techniques have gained prominence for the analysis of resting-state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview of various unsupervised and supervised machine learning applications to rs-fMRI. We offer a methodical taxonomy of machine learning...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Magn Reson Imaging
Main Authors: Khosla, Meenakshi, Jamison, Keith, Ngo, Gia H., Kuceyeski, Amy, Sabuncu, Mert R.
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6875692/
https://ncbi.nlm.nih.gov/pubmed/31173849
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.05.031
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