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Independent Component Analysis for Magnetic Resonance Image Analysis
Independent component analysis (ICA) has recently received considerable interest in applications of magnetic resonance (MR) image analysis. However, unlike its applications to functional magnetic resonance imaging (fMRI) where the number of data samples is greater than the number of...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SpringerOpen
2008-03-01
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| シリーズ: | EURASIP Journal on Advances in Signal Processing |
| オンライン･アクセス: | http://dx.doi.org/10.1155/2008/780656 |
| タグ: |
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