Exploration of the optimal group-discriminating features using CC-ICA. - Jing Sui; Vince D. Calhoun (ACSCC, 2008)

A constrained coefficient ica algorithm for group difference enhancement. - Jing Sui; Jingyu Liu 001; Lei Wu 013; Andrew Michael; Lai Xu 002; Tülay Adali; Vince D. Calhoun (ICASSP, 2008)

An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques. - Jing Sui; Tülay Adali; Godfrey D. Pearlson; Vince D. Calhoun (NeuroImage, 2009)

A CCA + ICA based model for multi-task brain imaging data fusion and its application to schizophrenia. - Jing Sui; Tülay Adali; Godfrey D. Pearlson; Honghui Yang; Scott R. Sponheim; Tonya White; Vince D. Calhoun (NeuroImage, 2010)

Identification of Imaging Biomarkers in Schizophrenia: A Coefficient-constrained Independent Component Analysis of the Mind Multi-site Schizophrenia Study. - Dae Il Kim; Jing Sui; Srinivas Rachakonda; Tonya White; Dara S. Manoach; Vincent P. Clark; Beng-Choon Ho; S. Charles Schulz; Vince D. Calhoun (Neuroinformatics, 2010)

Source-Based Morphometry Analysis of Group Differences in Fractional Anisotropy in Schizophrenia. - Arvind Caprihan; Christopher C. Abbott; Jeremy Yamamoto; Godfrey D. Pearlson; Nora I. Perrone-Bizzozero; Jing Sui; Vince D. Calhoun (Brain Connect., 2011)

Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. - Eduardo Castro; Manel Martínez-Ramón; Godfrey D. Pearlson; Jing Sui; Vince D. Calhoun (NeuroImage, 2011)

Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. - Jing Sui; Godfrey D. Pearlson; Arvind Caprihan; Tülay Adali; Kent A. Kiehl; Jingyu Liu 001; Jeremy Yamamoto; Vince D. Calhoun (NeuroImage, 2011)

Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. - Jing Sui; Hao He 002; Jingyu Liu 001; Qingbao Yu; Tülay Adali; Godfrey D. Pearlson; Vince D. Calhoun (EMBC, 2012)

Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference. - Jiayu Chen 003; Vince D. Calhoun; Godfrey D. Pearlson; Nora I. Perrone-Bizzozero; Jing Sui; Jessica A. Turner; Juan R. Bustillo; Stefan Ehrlich; Scott R. Sponheim; José M. Cañive; Beng-Choon Ho; Jingyu Liu 001 (NeuroImage, 2013)

Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia. - Jing Sui; Hao He 002; Godfrey D. Pearlson; Tülay Adali; Kent A. Kiehl; Qingbao Yu; Vincent P. Clark; Eduardo Castro; Tonya White; Bryon A. Mueller; Beng-Choon Ho; Nancy Andreasen; et al. (NeuroImage, 2013)

Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches. - Yuhui Du; Elena A. Allen; Hao He 002; Jing Sui; Vince D. Calhoun (EMBC, 2014)

Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. - Yuhui Du; Jingyu Liu 001; Jing Sui; Hao He 002; Godfrey D. Pearlson; Vince D. Calhoun (EMBC, 2014)

Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. - Jing Sui; Eduardo Castro; Hao He 002; David A. Bridwell; Yuhui Du; Godfrey D. Pearlson; Tianzi Jiang; Vince D. Calhoun (EMBC, 2014)

Semi-supervised learning of brain functional networks. - Yuhui Du; Jing Sui; Qingbao Yu; Hao He 002; Vince D. Calhoun (ISBI, 2014)

High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. - Sergey M. Plis; Jing Sui; Terran Lane; Sushmita Roy; Vincent P. Clark; Vamsi K. Potluru; René J. Huster; Andrew Michael; Scott R. Sponheim; Michael P. Weisend; Vince D. Calhoun (NeuroImage, 2014)

Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies. - Jing Sui; René J. Huster; Qingbao Yu; Judith M. Segall; Vince D. Calhoun (NeuroImage, 2014)

Dynamic default mode network connectivity diminished in patients with schizophrenia. - Yuhui Du; Hao He 002; Lei Wu 013; Qingbao Yu; Jing Sui; Vince D. Calhoun (ISBI, 2015)

Resting fMRI measures are associated with cognitive deficits in schizophrenia assessed by the MATRICS consensus cognitive battery. - Hao He 002; Juan R. Bustillo; Yuhui Du; Qingbao Yu; Thomas R. Jones; Tianzi Jiang; Vince D. Calhoun; Jing Sui (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. - Yuhui Du; Godfrey D. Pearlson; Jingyu Liu 001; Jing Sui; Qingbao Yu; Hao He 002; Eduardo Castro; Vince D. Calhoun (NeuroImage, 2015)

Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. - Qingbao Yu; Erik B. Erhardt; Jing Sui; Yuhui Du; Hao He 002; R. Devon Hjelm; Mustafa S. Çetin; Srinivas Rachakonda; Robyn L. Miller; Godfrey D. Pearlson; Vince D. Calhoun (NeuroImage, 2015)

Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data. - Nan-Feng Jie; Mao-Hu Zhu; Xiao-Ying Ma; Elizabeth A. Osuch; Michael Wammes; Jean Théberge; Huan-Dong Li; Yu Zhang; Tian-Zi Jiang; Jing Sui; Vince D. Calhoun (IEEE Trans. Auton. Ment. Dev., 2015)

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)

Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. - Rogers F. Silva; Sergey M. Plis; Jing Sui; Marios S. Pattichis; Tülay Adali; Vince D. Calhoun (IEEE J. Sel. Top. Signal Process., 2016)

Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. - Benjamin S. C. Wade; Jing Sui; Stephanie Njau; Amber M. Leaver; Megha Vasvada; Boris A. Gutman; Paul M. Thompson; Randall Espinoza; Roger P. Woods; Christopher C. Abbott; Katherine L. Narr; Shantanu H. Joshi (ISBI, 2017)

Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components. - Shuang Gao; Elizabeth A. Osuch; Michael Wammes; Jean Théberge; Tian-Zi Jiang; Vince D. Calhoun; Jing Sui (MLSP, 2017)

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)

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. - Mohammad R. Arbabshirani; Sergey M. Plis; Jing Sui; Vince D. Calhoun (NeuroImage, 2017)

Multimodal neural correlates of cognitive control in the Human Connectome Project. - Dov B. Lerman-Sinkoff; Jing Sui; Srinivas Rachakonda; Sridhar Kandala; Vince D. Calhoun; Deanna M. Barch (NeuroImage, 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)

Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis. - Na Luo; Lin Tian; Vince D. Calhoun; Jiayu Chen 003; Dongdong Lin; Victor M. Vergara; Shuquan Rao; Fuquan Zhang 003; Jing Sui (EMBC, 2018)

Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning. - Dongren Yao; Xiaojie Guo; Qihua Zhao; Lu Liu; Qingjiu Cao; Yufeng Wang; Vince D. Calhoun; Li Sun; Jing Sui (EMBC, 2018)

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)

Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. - Weizheng Yan; Han Zhang 002; Jing Sui; Dinggang Shen (MICCAI (3), 2018)

Multiple Classifier Fusion and Optimization for Automatic Focal Cortical Dysplasia Detection on Magnetic Resonance Images. - Xiaoxia Qu; Jian Yang 009; Ljiljana Platisa; Asli Kumcu; Danni Ai; Bart Goossens; Tingzhu Bai; Yongtian Wang; Jing Sui; Karel Deblaere; Wilfried Philips (IEEE Access, 2018)

Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. - Yuhui Du; Susanna Fryer; Zening Fu; Dongdong Lin; Jing Sui; Jiayu Chen 003; Eswar Damaraju; Eva Mennigen; Barbara Stuart; Rachel L. Loewy; Daniel H. Mathalon; Vince D. Calhoun (NeuroImage, 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)

Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. - Qingbao Yu; Yuhui Du; Jiayu Chen 003; Jing Sui; Tülay Adali; Godfrey D. Pearlson; Vince D. Calhoun (Proc. IEEE, 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)

Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm. - Nan-Feng Jie; Elizabeth A. Osuch; Mao-Hu Zhu; Michael Wammes; Xiao-Ying Ma; Tian-Zi Jiang; Jing Sui; Vince D. Calhoun (J. Signal Process. Syst., 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)

ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework. - Dongren Yao; Hailun Sun; Xiaojie Guo; Vince D. Calhoun; Li Sun; Jing Sui (ISBI, 2019)

Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. - Dongren Yao; Mingxia Liu 001; Mingliang Wang; Chunfeng Lian; Jie Wei; Li Sun; Jing Sui; Dinggang Shen (GLMI@MICCAI, 2019)

Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. - Zening Fu; Yiheng Tu; Xin Di; Yuhui Du; Jing Sui; Bharat B. Biswal; Zhiguo Zhang 001; Nina de Lacy; Vincent D. Calhoun (NeuroImage, 2019)

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)

Multi-modal component subspace-similarity-based multi-kernel SVM for schizophrenia classification. - Shuang Gao; Vince D. Calhoun; Jing Sui (Computer-Aided Diagnosis, 2020)

Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. - Dongren Yao; Jing Sui; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (MLMI@MICCAI, 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)

Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. - Haleh Falakshahi; Victor M. Vergara; Jingyu Liu 001; Daniel H. Mathalon; Judith M. Ford; James Voyvodic; Bryon A. Mueller; Aysenil Belger; Sarah C. McEwen; Steven G. Potkin; Adrian Preda; Hooman Rokham; et al. (IEEE Trans. Biomed. Eng., 2020)

Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates *. - Na Luo; Xiangsheng Luo; Dongren Yao; Vince D. Calhoun; Li Sun; Jing Sui (EMBC, 2021)

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)

Fusion of Multiple Spatial Networks Derived from Complex-Valued fMRI Data via CNN Classification. - Yan-Wei Niu; Chao-Ying Zhang; Yue Qiu; Qiu-Hua Lin; Jing Sui; Vince D. Calhoun (IJCNN, 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)

Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. - Dongren Yao; Erkun Yang; Hao Guan; Jing Sui; Zhizhong Zhang; Mingxia Liu 001 (MICCAI (5), 2021)

Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. - Dongren Yao; Erkun Yang; Li Sun; Jing Sui; Mingxia Liu 001 (PRIME@MICCAI, 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)

Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. - Zening Fu; Armin Iraji; Jessica A. Turner; Jing Sui; Robyn L. Miller; Godfrey D. Pearlson; Vince D. Calhoun (NeuroImage, 2021)

A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. - Dongren Yao; Jing Sui; Mingliang Wang; Erkun Yang; Yeerfan Jiaerken; Na Luo; Pew-Thian Yap; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies. - Weizheng Yan; Zening Fu; Jing Sui; Vince D. Calhoun (EMBC, 2022)

Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales. - Xing Meng; Armin Iraji; Zening Fu; Peter V. Kochunov; Aysenil Belger; Judith M. Ford; Sarah C. McEwen; Daniel H. Mathalon; Bryon A. Mueller; Godfrey D. Pearlson; Steven G. Potkin; Adrian Preda; et al. (Brain Connect., 2022)

SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data. - Qiu-Hua Lin; Yan-Wei Niu; Jing Sui; Wen-Da Zhao; Chuanjun Zhuo; Vince D. Calhoun (Medical Image Anal., 2022)

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)

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)

Deep Learning in Neuroimaging: Promises and challenges. - Weizheng Yan; Gang Qu 002; Wenxing Hu; Anees Abrol; Biao Cai; Chen Qiao; Sergey M. Plis; Yu-Ping Wang 002; Jing Sui; Vince D. Calhoun (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)

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)

Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. - Yuda Bi; Anees Abrol; Jing Sui; Vince D. Calhoun (ICASSP, 2024)

Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity. - Yuda Bi; Anees Abrol; Sihan Jia; Jing Sui; Vince D. Calhoun (NeuroImage, 2024)

Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. - Zening Fu; Ishaan Batta; Lei Wu 013; Anees Abrol; Oktay Agcaoglu; Mustafa S. Salman; Yuhui Du; Armin Iraji; Sarah Shultz; Jing Sui; Vince D. Calhoun (NeuroImage, 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)

Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion. - Marlena Duda; Ashkan Faghiri; Aysenil Belger; Juan R. Bustillo; Judith M. Ford; Daniel H. Mathalon; Bryon A. Mueller; Godfrey D. Pearlson; Steven G. Potkin; Adrian Preda; Jing Sui; Theo G. M. van Erp; et al. (Neuroinformatics, 2025)