In this paper, we propose a novel longitudinal independent component model (L-ICA) which provides a formal modeling framework for extending ICA to longitudinal ...
Apr 1, 2019 · In this paper, we propose a novel longitudinal independent component model (L-ICA) which provides a formal modeling framework for extending ICA to longitudinal ...
In this paper, we propose a novel longitudinal independent component model (L-ICA) which provides a formal modeling framework for extending ICA to longitudinal ...
HINT: A hierarchical independent component analysis toolbox for investigating brain functional networks using neuroimaging data · Computer Science. Journal of ...
Independent component analysis (ICA) is the most commonly used computational tool for identifying and characterizing underlying brain functional networks.
A hierarchical independent component analysis model for longitudinal neuroimaging studies. https://doi.org/10.1016/j.neuroimage.2018.12.024 · Full text.
Aug 5, 2018 · The L-ICA is a hierarchical model where the first-level of L-ICA decomposes a subject's fMRI data obtained at a visit into a linear mixture of ...
In this paper, we propose a novel longitudinalindependent component model (L-ICA) which provides a formal modeling framework for extending ICA to lon-gitudinal ...
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Nov 21, 2018 · Wang, Y., & Guo, Y. (2019). A hierarchical independent component analysis model for longitudinal neuroimaging studies. NeuroImage, 189, 380-400.
Journal of Neuroimaging. Accepted. Wang, Y. and Guo, Y.(2018+). A hierarchical independent component analysis model for longitudinal neuroimaging studies.