Data-driven methods for denoising and analysis of functional magnetic resonance imaging time-series
In the last decade or so, functional magnetic resonance imaging (fMRI) has emerged as a standard tool for mapping activation patterns in the human brain. It is a highly interdisciplinary field involving neuroscientists, clinicians, physicists, mathematicians, and engineers. The experiments performed...
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| Format: | Thesis |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/10356/42454 |