Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease. - Xuetong Wang; Kanhao Zhao; Rong Zhou; Alex D. Leow; Ricardo Osorio; Yu Zhang 009; Lifang He 001 (CoRR, 2022)

A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD. - Kanhao Zhao; Boris Duka; Hua Xie; Desmond J. Oathes; Vince D. Calhoun; Yu Zhang 009 (NeuroImage, 2022)

Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease. - Xuetong Wang; Rong Zhou; Kanhao Zhao; Alex D. Leow; Yu Zhang 009; Lifang He 001 (ISBI, 2023)

An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment. - Shuning Han; Zhe Sun; Kanhao Zhao; Feng Duan; Cesar F. Caiafa; Yu Zhang 009; Jordi Solé-Casals (BIOSTEC (1), 2024)

Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion. - Xinxu Wei; Kanhao Zhao; Yong Jiao; Nancy B. Carlisle; Hua Xie; Gregory A. Fonzo; Yu Zhang (CoRR, 2024)

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG. - Xinxu Wei; Kanhao Zhao; Yong Jiao; Nancy B. Carlisle; Hua Xie; Yu Zhang (CoRR, 2024)

Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion. - Xinxu Wei; Kanhao Zhao; Yong Jiao; Nancy B. Carlisle; Hua Xie; Gregory A. Fonzo; Yu Zhang 009 (Neural Networks, 2025)

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder. - Xinxu Wei; Kanhao Zhao; Yong Jiao; Lifang He 001; Yu Zhang (CoRR, 2025)