Presentation | 1999/5/14 A Study on Applying ICA to fMRI Data Analysis Shigeru Muraki, Shinji Umeyama, Yasunori Nishimori, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Independent Component Analysis (ICA) has recently been applied to biomedical researches, e.g. functional MRI (fMRI) or electroencephalo graphic (EEG). Although the ICA can be successfully used in separating mixed sound sources or intentionally superimposed images, whose sources and their number are known, the availability of ICA for the fMRI data analysis is still unknown. In this paper, we test some ICA algorithms by using simulated fMRI data in order to develope the efficient technique of fMRI data analysis. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | fMRI / ICA / Independent Component Analysis / dynamic image processing |
Paper # | PRMU99-15 |
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Committee | PRMU |
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Conference Date | 1999/5/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Applying ICA to fMRI Data Analysis |
Sub Title (in English) | |
Keyword(1) | fMRI |
Keyword(2) | ICA |
Keyword(3) | Independent Component Analysis |
Keyword(4) | dynamic image processing |
1st Author's Name | Shigeru Muraki |
1st Author's Affiliation | Visual Computing Lab., Electrotechnical Laboratory (ETL)() |
2nd Author's Name | Shinji Umeyama |
2nd Author's Affiliation | Visual Computing Lab., Electrotechnical Laboratory (ETL) |
3rd Author's Name | Yasunori Nishimori |
3rd Author's Affiliation | Visual Computing Lab., Electrotechnical Laboratory (ETL) |
Date | 1999/5/14 |
Paper # | PRMU99-15 |
Volume (vol) | vol.99 |
Number (no) | 48 |
Page | pp.pp.- |
#Pages | 8 |
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