CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions. - Jiangcong Liu; Le Xu; Yun Guan; Hao Ma; Lixia Tian (MICCAI (1), 2023)

BrainNet with Connectivity Attention for Individualized Predictions Based on Multi-Facet Connections Extracted from Resting-State fMRI Data. - Hao Ma; Fan Wu; Yun Guan; Le Xu; Jiangcong Liu; Lixia Tian (Cogn. Comput., 2023)

A Siamese Network With Node Convolution for Individualized Predictions Based on Connectivity Maps Extracted From Resting-State fMRI Data. - Le Xu; Hao Ma; Yun Guan; Jiangcong Liu; Huifang Huang; Yang Zhang; Lixia Tian (IEEE J. Biomed. Health Informatics, 2023)

Transformer3: A Pure Transformer Framework for fMRI-Based Representations of Human Brain Function. - Xiaoxi Tian; Hao Ma; Yun Guan; Le Xu; Jiangcong Liu; Lixia Tian (IEEE J. Biomed. Health Informatics, 2025)