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: 5759

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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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