Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture

Volume: 11
Published: Oct 17, 2017
Abstract
Machine learning techniques have become increasingly popular in the field of resting state fMRI (functional magnetic resonance imaging) network based classification. However, the application of convolutional networks has been proposed only very recently and has remained largely unexplored. In this paper we describe a convolutional neural network architecture for functional connectome classification called connectome-convolutional neural network...
Paper Details
Title
Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture
Published Date
Oct 17, 2017
Volume
11
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