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Classification of Spatially Unaligned fMRI Scans
The analysis of fMRI data is challenging because they consist generally of a relatively modest signal contained in a high dimensional space: a single scan can contain over 15 million voxel recordings over space and time. We present a method for classification and discrimination among fMRI that is ba...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2009
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2846648/ https://ncbi.nlm.nih.gov/pubmed/19712744 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2009.08.036 |
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