Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network - Huang, Zhi-An; Zhu, Zexuan; Yau, Chuen Heung; Tan, Kay Chen (IEEE transaction on neural networks and learning systems, 2021)
Keywords: Algorithms; Anomalies; Autism; Autism spectrum disorder (ASD); Autism Spectrum Disorder - classification; Autism Spectrum Disorder - diagnostic imaging; Belief networks; Biomarkers; Brain; Brain Mapping; Brain modeling; Brain-Computer Interfaces; Children; Classification; Complexity; computational diagnostic model (CDM); Computational modeling; Computational neuroscience; Computer Simulation; Data exchange; Data management; Data models; Databases, Factual; deep belief network (DBN); Deep Learning; functional connectivity (FC); Functional magnetic resonance imaging; functional magnetic resonance imaging (fMRI); Graph theory; Humans; Magnetic Resonance Imaging - methods; Medical imaging; Neural networks; Neural Networks, Computer; Neuroimaging; Oversampling; Search algorithms; Structure-function relationships