Linked independent component analysis for multimodal data fusion.
In recent years, neuroimaging studies have increasingly been acquiring multiple modalities of data and searching for task- or disease-related changes in each modality separately. A major challenge in analysis is to find systematic approaches for fusing these differing data types together to automati...
Main Authors: | Groves, A, Beckmann, C, Smith, S, Woolrich, M |
---|---|
格式: | Journal article |
语言: | English |
出版: |
2011
|
相似书籍
-
Denoising scanner effects from multimodal MRI data using linked independent component analysis
由: Huanjie Li, et al.
出版: (2020-03-01) -
Denoising scanner effects from multimodal MRI data using linked independent component analysis
由: Li, H, et al.
出版: (2019) -
Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.
由: Salimi-Khorshidi, G, et al.
出版: (2014) -
Artefact detection in FMRI data using independent component analysis
由: Beckmann, C, et al.
出版: (2000) -
Tensorial extensions of independent component analysis for multisubject FMRI analysis.
由: Beckmann, C, et al.
出版: (2005)