Deep Collaborative Learning With Application to the Study of Multimodal Brain Development

Multi-modal functional magnetic resonance imaging has been widely used for brain research. Conventional data-fusion methods cannot capture complex relationship (e.g., nonlinear predictive relationship) between multiple data. This paper aims to develop a neural network framework to extract phenotype related cross-data relationships and use it to study the brain development.We propose a novel method, deep collaborative learning (DCL), to address...