Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. - Dongmei Zhi; Xiaohong Ma; Luxian Lv; Qing Ke; Yongfeng Yang; Xiao Yang; Miao Pan; Shile Qi; Rongtao Jiang; Yuhui Du; Qingbao Yu; Vince D. Calhoun; et al. (EMBC, 2018)

Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method. - Ji Ye Chun; Mohammad S. Eslampanah Sendi; Jing Sui; Dongmei Zhi; Vince D. Calhoun (EMBC, 2020)

Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. - Elaheh Zendehrouh; Mohammad S. Eslampanah Sendi; Jing Sui; Zening Fu; Dongmei Zhi; Luxian Lv; Xiaohong Ma; Qing Ke; Xianbin Li; Chuanyue Wang; Christopher C. Abbott; Jessica A. Turner; et al. (EMBC, 2020)

Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. - Rongtao Jiang; Nianming Zuo; Judith M. Ford; Shile Qi; Dongmei Zhi; Chuanjun Zhuo; Yong Xu; Zening Fu; Juan R. Bustillo; Jessica A. Turner; Vince D. Calhoun; Jing Sui (NeuroImage, 2020)

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. - Dongmei Zhi; Vince D. Calhoun; Chuanyue Wang; Xianbin Li; Xiaohong Ma; Luxian Lv; Weizheng Yan; Dongren Yao; Shile Qi; Rongtao Jiang; Jianlong Zhao; Xiao Yang; et al. (EMBC, 2021)

3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. - Shile Qi; Sergey M. Plis; Robyn L. Miller; Rogers F. Silva; Victor M. Vergara; Rongtao Jiang; Dongmei Zhi; Jing Sui; Vince D. Calhoun (ISBI, 2021)

An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia. - Min Zhao; Weizheng Yan; Rongtao Xu; Dongmei Zhi; Rongtao Jiang; Tianzi Jiang; Vince D. Calhoun; Jing Sui (ISBI, 2021)

Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. - Mohammad S. Eslampanah Sendi; Elaheh Zendehrouh; Jing Sui; Zening Fu; Dongmei Zhi; Luxian Lv; Xiaohong Ma; Qing Ke; Xianbin Li; Chuanyue Wang; Christopher C. Abbott; Jessica A. Turner; et al. (Brain Connect., 2021)

An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data. - Min Zhao; Weizheng Yan; Na Luo; Dongmei Zhi; Zening Fu; Yuhui Du; Shan Yu; Tianzi Jiang; Vince D. Calhoun; Jing Sui (Medical Image Anal., 2022)

CGDM-GAN: An Adversarial Network Approach with Self-supervised Learning for Site Effect Removal. - Xiangxiang Cui; Dongmei Zhi; Weizheng Yan; Vince D. Calhoun; Chuanjun Zhuo; Jing Sui (EMBC, 2024)

A Cross-Feature Mutual Learning Framework to Integrate Functional Connectivity and Activity for Brain Disorder Classification. - Min Zhao; Rongtao Xu; Dongmei Zhi; Shan Yu; Vince D. Calhoun; Jing Sui (EMBC, 2024)

A cross-feature mutual learning framework integrating multiple features for brain disorder diagnosis. - Xiangxiang Cui; Min Zhao; Dongmei Zhi; Aichen Feng; Yuhui Du; Vince D. Calhoun; Jing Sui (Neurocomputing, 2025)