Enhancing functional magnetic resonance imaging with supervised learning
author:
Stephen LaConte,
Biomedical Imaging Technology Center, Georgia Institute of Technology
Description
This paper reports novel applications of supervised learning
methods intended to directly impact fMRI technology with the aim
of improving data acquisition and analysis.
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