Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization

Reconstructing concurrent functional brain networks from fMRI blood oxygen level dependent (BOLD) data has been investigated for decades. The reconstructed concurrent functional brain networks help us better understand functional human brain activities and their underlying neural substrates. Traditionally, independent component analysis (ICA) (Cole et  al., 2010; McKeown et al., 2003) and general linear model (GLM) (Friston et al., 1994; Logothetis, 2008) have been widely utilized for resting state functional networks and task-evoked functional networks, respectively.

Source: Medical Image Analysis - April 27, 2018 Category: Radiology Authors: Yu Zhao, Fangfei Ge, Tianming Liu Source Type: research