Assisted Dictionary Learning for fMRI Data Analysis

10/11/2016

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Extracting information from functional magnetic resonance (fMRI) images has been a major area of research for more than two decades. The goal of this work is to present a new method for the analysis of fMRI data sets, that is capable to incorporate a priori available information, via an efficient optimization framework. Tests on synthetic data sets demonstrate significant performance gains over existing methods of this kind.

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Assisted Dictionary Learning for fMRI Data Analysis

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Assisted Dictionary Learning for fMRI Data Analysis

Related Research

Information Assisted Dictionary Learning for fMRI data analysis

A new fMRI data analysis method using cross validation: Negative BOLD responses may be the deactivations of interneurons

A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study

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