The use of generative adversarial network and graph convolution network for neuroimaging-based diagnostic classification

• Main Authors: Huynh, Nguyen, Yan, Da, Ma, Yueen, Wu, Shengbin, Long, Cheng, Sami, Mirza Tanzim, Almudaifer, Abdullateef, Jiang, Zhe, Chen, Haiquan, Dretsch, Michael N., Denney, Thomas S., Deshpande, Rangaprakash, Deshpande, Gopikrishna
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Deep learning; Generative adversarial network
• Online Access: https://hdl.handle.net/10356/179759
• Institution: Nanyang Technological University

Functional connectivity (FC) obtained from resting-state functional magnetic resonance imaging has been integrated with machine learning algorithms to deliver consistent and reliable brain disease classification outcomes. However, in classical learning procedures, custom-built specialized feature se...