Impact of automated ICA-based denoising of fMRI data in acute stroke patients
Different strategies have been developed using Independent Component Analysis (ICA) to automatically de-noise fMRI data, either focusing on removing only certain components (e.g. motion-ICA-AROMA, Pruim et al., 2015a) or using more complex classifiers to remove multiple types of noise components (e....
المؤلفون الرئيسيون: | Carone, D, Licenik, R, Suri, S, Griffanti, L, Filippini, N, Kennedy, J |
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التنسيق: | Journal article |
اللغة: | English |
منشور في: |
Elsevier
2017
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مواد مشابهة
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Impact of automated ICA-based denoising of fMRI data in acute stroke patients
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منشور في: (2017-01-01) -
Hand classification of fMRI ICA noise components
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Evaluating the efficacy of multi-echo ICA denoising on model-based fMRI
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An automated method for identifying artifact in ICA of resting-state fMRI
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منشور في: (2013-07-01)