Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity. - Rongtao Jiang; Shile Qi; Yuhui Du; Weizheng Yan; Vince D. Calhoun; Tianzi Jiang; Jing Sui (MLSP, 2017)

Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method. - Weizheng Yan; Sergey M. Plis; Vince D. Calhoun; Shengfeng Liu; Rongtao Jiang; Tian-Zi Jiang; Jing Sui (MLSP, 2017)

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. - Xing Meng; Rongtao Jiang; Dongdong Lin; Juan R. Bustillo; Thomas R. Jones; Jiayu Chen 003; Qingbao Yu; Yuhui Du; Yu Zhang; Tianzi Jiang; Jing Sui; Vince D. Calhoun (NeuroImage, 2017)

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)

Connectome-based individualized prediction of temperament trait scores. - Rongtao Jiang; Vince D. Calhoun; Nianming Zuo; Dongdong Lin; Jin Li; Lingzhong Fan; Shile Qi; Hailun Sun; Zening Fu; Ming Song; Tianzi Jiang; Jing Sui (NeuroImage, 2018)

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)

Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging. - Rongtao Jiang; Choong-Wan Woo; Shile Qi; Jing Wu; Jing Sui (IEEE Signal Process. Mag., 2022)

ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder. - Xiang Li; Ming Xu; Rongtao Jiang; Xuemei Li; Vince D. Calhoun; Xinyu Zhou; Jing Sui (EMBC, 2023)

The Individualized Prediction of Neurocognitive Function in People Living With HIV Based on Clinical and Multimodal Connectome Data. - Xiang Li; Sheri L. Towe; Ryan P. Bell; Rongtao Jiang; Shana A. Hall; Vince D. Calhoun; Christina S. Meade; Jing Sui (IEEE J. Biomed. Health Informatics, 2023)

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. - Javid Dadashkarimi; Amin Karbasi; Qinghao Liang; Matthew Rosenblatt; Stephanie Noble; Maya Foster; Raimundo X. Rodriguez; Brendan Adkinson; Jean Ye; Huili Sun; Chris Camp; Michael Farruggia; et al. (Medical Image Anal., 2023)

GPR-SCSANet: Unequal-Length Time Series Normalization with Split-Channel Residual Convolution and Self-Attention for Brain Age Prediction. - Fangling Sun; Chuang Liang; Tülay Adali; Daoqiang Zhang; Rongtao Jiang; Vince D. Calhoun; Shile Qi (BIBM, 2024)

Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling. - Qinghao Liang; Brendan Adkinson; Rongtao Jiang; Dustin Scheinost (MICCAI (10), 2024)

Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks. - Weizheng Yan; Zening Fu; Rongtao Jiang; Jing Sui; Vince D. Calhoun (IEEE Trans. Biomed. Eng., 2024)

Reference-Guided Parallel Independent Component Analysis: Estimating Cognition Associated Multimodal Patterns In Schizophrenia. - Jingxian Hu; Chuang Liang; Tülay Adali; Qi Zhu 001; Daoqiang Zhang; Rongtao Jiang; Vince D. Calhoun; Shile Qi (ICASSP, 2025)

Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis. - Yixin Ji; Vince D. Calhoun; Rongtao Jiang; Daoqiang Zhang; Shile Qi (ICASSP, 2025)

Cooperative and Competitive Functional Connectivity Based on Improved Ising Model. - Gengqian Wei; Chuang Liang; Tülay Adali; Rongtao Jiang; Daoqiang Zhang; Vince D. Calhoun; Shile Qi (ICASSP, 2025)

MPIDS: Multi-Group Perturbation Based Individualized Differential Structural Brain Network. - Zixin Huang; Yijie Zhang; Tülay Adali; Rongtao Jiang; Daoqiang Zhang; Vince D. Calhoun; Shile Qi (ISBI, 2025)

Confound Controlled Multimodal Neuroimaging Data Fusion and Its Application to Developmental Disorders. - Chuang Liang; Rogers F. Silva; Tülay Adali; Rongtao Jiang; Daoqiang Zhang; Shile Qi; Vince D. Calhoun (IEEE Trans. Image Process., 2025)