Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia. - Shile Qi; Vince D. Calhoun; Theo G. M. van Erp; Eswar Damaraju; Juan R. Bustillo; Yuhui Du; Jessica A. Turner; Daniel H. Mathalon; Judith M. Ford; James Voyvodic; Bryon A. Mueller; Aysenil Belger; et al. (EMBC, 2016)

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)

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)

Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. - Shile Qi; Vince D. Calhoun; Theo G. M. van Erp; Juan R. Bustillo; Eswar Damaraju; Jessica A. Turner; Yuhui Du; Jian Yang 009; Jiayu Chen 003; Qingbao Yu; Daniel H. Mathalon; Judith M. Ford; et al. (IEEE Trans. Medical Imaging, 2018)

Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. - Tiantian Li; Zening Fu; Xia Liu; Shile Qi; Vince D. Calhoun; Jing Sui (ISBI, 2019)

Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. - Armin Iraji; Noah Lewis; Ashkan Faghiri; Zening Fu; Thomas DeRamus; Anees Abrol; Shile Qi; Vince D. Calhoun (ISBI, 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)

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)

A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI. - Mengting Yang; Li-Ming Hsu; Shile Qi; Daoqiang Zhang; Xuyun Wen (ISBI, 2023)

FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. - Wei Shao 005; Jianxin Liu; Yingli Zuo; Shile Qi; Honghai Hong; Jianpeng Sheng; Qi Zhu 001; Daoqiang Zhang (IEEE Trans. Medical Imaging, 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)

Automated individual cortical parcellation via consensus graph representation learning. - Xuyun Wen; Mengting Yang; Shile Qi; Xia Wu; Daoqiang Zhang (NeuroImage, 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)

THIDS: Triplet High-Order Individual Differential Structural Brain Network. - Dailin Wen; Chunzhi Zhao; Tülay Adali; Daoqiang Zhang; Vince D. Calhoun; Shile Qi (ISBI, 2025)

Long-Interval Spatio-Temporal Graph Convolution for Brain Disease Diagnosis. - Shengrong Li; Qi Zhu 001; Donghai Guan; Bo Shen; Li Zhang 019; Yixin Ji; Shile Qi; Daoqiang Zhang (IEEE Trans. Instrum. Meas., 2025)

Multi-Modal Brain Network Fusion for Intelligent Diagnostic Devices. - Shengrong Li; Qi Zhu 001; Liang Sun 009; Kai Ma; Yixin Ji; Shile Qi; Daoqiang Zhang (IEEE Trans. Consumer Electron., 2025)