Enhancing functional magnetic resonance imaging with supervised learning
author: Stephen LaConte,
Biomedical Imaging Technology Center, Georgia Institute of Technology
published: Feb. 25, 2007, recorded: December 2006, views: 305
published: Feb. 25, 2007, recorded: December 2006, views: 305
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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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