Automatic Recognition of fMRI-derived Functional Networks using 3D Convolutional Neural Networks
Automatic and accurate classification and recognition of fMRI-derived functional brain networks are very important for subsequent steps of functional brain analysis. We design a deep 3D CNN framework for automatic and accurate classification and recognition of numbers of functional brain networks. Our work provides a new deep learning approach for modeling functional connectomes based on fMRI data.
Volume 62, Issue 4, Page:1120 - 1131 Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function
For decades, it has been largely unknown how and to what extent multiple functional networks spatially overlap/interact with each other and jointly realize the total cortical function…