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Principal Investigator  
Principal Investigator's Name: liang beibei
Institution: Hebei University
Department: School of Electronic Information Engineering
Proposed Analysis: Brain functional connectivity (FC) reveals biomarkers for identification of various neuropsychiatric disorders. Recent application of deep neural networks (DNNs) to connectomebased classification mostly relies on traditional convolutional neural networks using input connectivity matrices on a regular Euclidean grid. We propose a graph deep learning framework to incorporate the non-Euclidean information about graph structure for classifying functional magnetic resonance imaging (fMRI)-derived brain networks in Alzheimer's disease (AD).
Additional Investigators  
Investigator's Name: yingying zhao
Proposed Analysis: She is a postgraduate student at Hebei University in China. Just taking first step in scientific research focused on Medical image processing by Prof.Shuaiqi Liu in our school.