A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data. - Bao Ge; Xiang Li 001; Xi Jiang 001; Yifei Sun 013; Tianming Liu 001 (Frontiers Neuroinformatics, 2018)

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. - Ning Qiang; Qinglin Dong; Yifei Sun 013; Bao Ge; Tianming Liu 001 (ISBI, 2020)

Modeling task-based fMRI data via deep belief network with neural architecture search. - Ning Qiang; Qinglin Dong; Wei Zhang 090; Bao Ge; Fangfei Ge; Hongtao Liang; Yifei Sun 013; Jie Gao 016; Tianming Liu 001 (Comput. Medical Imaging Graph., 2020)

Deep Variational Autoencoder for Mapping Functional Brain Networks. - Ning Qiang; Qinglin Dong; Fangfei Ge; Hongtao Liang; Bao Ge; Shu Zhang 001; Yifei Sun 013; Jie Gao 016; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

Learning brain representation using recurrent Wasserstein generative adversarial net. - Ning Qiang; Qinglin Dong; Hongtao Liang; Jin Li; Shu Zhang 001; Cheng Zhang; Bao Ge; Yifei Sun 013; Jie Gao 016; Tianming Liu 001; Huiji Yue; Shijie Zhao 001 (Comput. Methods Programs Biomed., 2022)

A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder. - Ning Qiang; Qinglin Dong; Hongtao Liang; Bao Ge; Shu Zhang 001; Cheng Zhang; Jie Gao 016; Yifei Sun 013 (Neural Comput. Appl., 2022)

Functional brain network identification and fMRI augmentation using a VAE-GAN framework. - Ning Qiang; Jie Gao 016; Qinglin Dong; Huiji Yue; Hongtao Liang; Lili Liu; Jingjing Yu; Jing Hu; Shu Zhang 001; Bao Ge; Yifei Sun 013; Zhengliang Liu; et al. (Comput. Biol. Medicine, 2023)

Predicting Human Brain States with Transformer. - Yifei Sun 013; Mariano Cabezas; Jiah Lee; Chenyu Wang 001; Wei Zhang 090; Fernando Calamante; Jinglei Lv (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping. - Yifei Sun 013; Marshall A. Dalton; Robert D. Sanders; Yixuan Yuan; Xiang Li 001; Sharon L. Naismith; Fernando Calamante; Jinglei Lv (CoRR, 2025)

Voxel-Level Brain States Prediction Using Swin Transformer. - Yifei Sun 013; Daniel Chahine; Qinghao Wen; Tianming Liu 001; Xiang Li 001; Yixuan Yuan; Fernando Calamante; Jinglei Lv (IEEE J. Biomed. Health Informatics, 2025)

A Data-Driven Method to Map the Functional Organisation of Human Brain White Matter. - Yifei Sun 013; James M. Shine; Robert D. Sanders; Robin F. H. Cash; Sharon L. Naismith; Fernando Calamante; Jinglei Lv (CoRR, 2026)