Jing Sui - RankMe

85 papers B 1Misc 2Journal 46Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A cross-feature mutual learning framework integrating multiple features for brain disorder diagnosis. Neurocomputing Xiangxiang Cui, Min Zhao, Dongmei Zhi, Aichen Feng, Yuhui Du, Vince D. Calhoun, Jing Sui
2025	J	`jnl`	Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion. Neuroinformatics 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, Vince D. Calhoun
2025	J	`jnl`	BRIEF: BRain-Inspired network connection search with Extensive temporal feature Fusion enhances disease classification. CoRR Xiangxiang Cui, Min Zhao, Dongmei Zhi, Shile Qi, Vince D. Calhoun, Jing Sui
2025	—	`conf`	CoMa: A Multi-View Contrastive and Masked ROI Learning Pre-Training Strategy for Multiple Brain Diseases Diagnosis. BIBM Gengqian Wei, Chuang Liang, Tülay Adali, Jing Sui, Rongtao Jiang, Vince D. Calhoun, Shile Qi
2025	J	`jnl`	Editorial for Special Issue on Accelerating Brain Discovery Through Data Science and Neurotechnology: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. Vince D. Calhoun, Damien Coyle, Javier Escudero, Borbála Hunyadi, Jing Sui
2025	J	`jnl`	Special Issue on Accelerating Brain Discovery Through Data Science and Neurotechnology: Part 1 [From the Guest Editors]. IEEE Signal Process. Mag. Vince D. Calhoun, Damien Coyle, Javier Escudero, Borbála Hunyadi, Jing Sui
2024	—	`conf`	A Cross-Feature Mutual Learning Framework to Integrate Functional Connectivity and Activity for Brain Disorder Classification. EMBC Min Zhao, Rongtao Xu, Dongmei Zhi, Shan Yu, Vince D. Calhoun, Jing Sui
2024	—	`conf`	CGDM-GAN: An Adversarial Network Approach with Self-supervised Learning for Site Effect Removal. EMBC Xiangxiang Cui, Dongmei Zhi, Weizheng Yan, Vince D. Calhoun, Chuanjun Zhuo, Jing Sui
2024	Misc	`conf`	Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. ICASSP Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun
2024	J	`jnl`	Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity. NeuroImage Yuda Bi, Anees Abrol, Sihan Jia, Jing Sui, Vince D. Calhoun
2024	J	`jnl`	Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks. IEEE Trans. Biomed. Eng. Weizheng Yan, Zening Fu, Rongtao Jiang, Jing Sui, Vince D. Calhoun
2024	J	`jnl`	Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. NeuroImage Zening Fu, Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman, Yuhui Du, Armin Iraji, Sarah Shultz, Jing Sui, Vince D. Calhoun
2023	J	`jnl`	Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. CoRR Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun
2023	—	`conf`	ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder. EMBC Xiang Li, Ming Xu, Rongtao Jiang, Xuemei Li, Vince D. Calhoun, Xinyu Zhou, Jing Sui
2023	J	`jnl`	The Individualized Prediction of Neurocognitive Function in People Living With HIV Based on Clinical and Multimodal Connectome Data. IEEE J. Biomed. Health Informatics Xiang Li, Sheri L. Towe, Ryan P. Bell, Rongtao Jiang, Shana A. Hall, Vince D. Calhoun, Christina S. Meade, Jing Sui
2022	—	`conf`	'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies. EMBC Weizheng Yan, Zening Fu, Jing Sui, Vince D. Calhoun
2022	J	`jnl`	An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data. Medical Image Anal. Min Zhao, Weizheng Yan, Na Luo, Dongmei Zhi, Zening Fu, Yuhui Du, Shan Yu, Tianzi Jiang, Vince D. Calhoun, Jing Sui
2022	J	`jnl`	Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
2022	J	`jnl`	Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging. IEEE Signal Process. Mag. Rongtao Jiang, Choong-Wan Woo, Shile Qi, Jing Wu, Jing Sui
2022	J	`jnl`	Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales. Brain Connect. 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, Jessica A. Turner, Theo G. M. van Erp, Jing Sui, Vince D. Calhoun
2022	J	`jnl`	SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data. Medical Image Anal. Qiu-Hua Lin, Yan-Wei Niu, Jing Sui, Wenda Zhao, Chuanjun Zhuo, Vince D. Calhoun
2021	—	`conf`	3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. ISBI Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun
2021	J	`jnl`	A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
2021	J	`jnl`	Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain Connect. 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, Robyn L. Miller, Vince D. Calhoun
2021	—	`conf`	An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia. ISBI Min Zhao, Weizheng Yan, Rongtao Xu, Dongmei Zhi, Rongtao Jiang, Tianzi Jiang, Vince D. Calhoun, Jing Sui
2021	—	`conf`	BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. EMBC 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, Zheng Lin, Yujin Zhang, Young Chul Chung, Chuanjun Zhuo, Jing Sui
2021	J	`jnl`	Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. NeuroImage Zening Fu, Armin Iraji, Jessica A. Turner, Jing Sui, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
2021	B	`conf`	Fusion of Multiple Spatial Networks Derived from Complex-Valued fMRI Data via CNN Classification. IJCNN Yan-Wei Niu, Chao-Ying Zhang, Yue Qiu, Qiu-Hua Lin, Jing Sui, Vince D. Calhoun
2021	—	`conf`	Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. PRIME@MICCAI Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu
2021	—	`conf`	Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates EMBC Na Luo, Xiangsheng Luo, Dongren Yao, Vince D. Calhoun, Li Sun, Jing Sui
2021	—	`conf`	Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. MICCAI (5) Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu
2020	—	`conf`	Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. EMBC 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, Robyn L. Miller, Vince D. Calhoun
2020	J	`jnl`	Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. IEEE Trans. Biomed. Eng. Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
2020	J	`jnl`	Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. CoRR Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
2020	—	`conf`	Multi-modal component subspace-similarity-based multi-kernel SVM for schizophrenia classification. Computer-Aided Diagnosis Shuang Gao, Vince D. Calhoun, Jing Sui
2020	J	`jnl`	Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage 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
2020	—	`conf`	Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020	—	`conf`	Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method. EMBC Ji Ye Chun, Mohammad S. Eslampanah Sendi, Jing Sui, Dongmei Zhi, Vince D. Calhoun
2019	—	`conf`	ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework. ISBI Dongren Yao, Hailun Sun, Xiaojie Guo, Vince D. Calhoun, Li Sun, Jing Sui
2019	—	`conf`	Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. ISBI Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui
2019	J	`jnl`	Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. NeuroImage Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B. Biswal, Zhiguo Zhang, Nina de Lacy, Vincent D. Calhoun
2019	—	`conf`	Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. GLMI@MICCAI Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen
2018	—	`conf`	Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. EMBC 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, Tianzi Jiang, Jing Sui
2018	J	`jnl`	Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proc. IEEE Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun
2018	J	`jnl`	Connectome-based individualized prediction of temperament trait scores. NeuroImage 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
2018	—	`conf`	Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. MICCAI (3) Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen
2018	J	`jnl`	Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. CoRR Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen
2018	—	`conf`	Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning. EMBC Dongren Yao, Xiaojie Guo, Qihua Zhao, Lu Liu, Qingjiu Cao, Yufeng Wang, Vince D. Calhoun, Li Sun, Jing Sui
2018	J	`jnl`	Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm. J. Signal Process. Syst. Nan-Feng Jie, Elizabeth A. Osuch, Mao-Hu Zhu, Michael Wammes, Xiao-Ying Ma, Tian-Zi Jiang, Jing Sui, Vince D. Calhoun
2018	J	`jnl`	Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage Yuhui Du, Susanna Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun
2018	—	`conf`	Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis. EMBC Na Luo, Lin Tian, Vince D. Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao, Fuquan Zhang, Jing Sui
2018	J	`jnl`	Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans. Medical Imaging Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Juan R. Bustillo, Eswar Damaraju, Jessica A. Turner, Yuhui Du, Jian Yang, Jiayu Chen, Qingbao Yu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Tianzi Jiang, Jing Sui
2018	J	`jnl`	Multiple Classifier Fusion and Optimization for Automatic Focal Cortical Dysplasia Detection on Magnetic Resonance Images. IEEE Access Xiaoxia Qu, Jian Yang, Ljiljana Platisa, Asli Kumcu, Danni Ai, Bart Goossens, Tingzhu Bai, Yongtian Wang, Jing Sui, Karel Deblaere, Wilfried Philips
2017	—	`conf`	Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. ISBI 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
2017	—	`conf`	Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components. MLSP Shuang Gao, Elizabeth A. Osuch, Michael Wammes, Jean Théberge, Tian-Zi Jiang, Vince D. Calhoun, Jing Sui
2017	—	`conf`	Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method. MLSP Weizheng Yan, Sergey M. Plis, Vince D. Calhoun, Shengfeng Liu, Rongtao Jiang, Tian-Zi Jiang, Jing Sui
2017	J	`jnl`	Multimodal neural correlates of cognitive control in the Human Connectome Project. NeuroImage Dov B. Lerman-Sinkoff, Jing Sui, Srinivas Rachakonda, Sridhar Kandala, Vince D. Calhoun, Deanna M. Barch
2017	J	`jnl`	Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage Xing Meng, Rongtao Jiang, Dongdong Lin, Juan R. Bustillo, Thomas R. Jones, Jiayu Chen, Qingbao Yu, Yuhui Du, Yu Zhang, Tianzi Jiang, Jing Sui, Vince D. Calhoun
2017	—	`conf`	Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity. MLSP Rongtao Jiang, Shile Qi, Yuhui Du, Weizheng Yan, Vince D. Calhoun, Tianzi Jiang, Jing Sui
2017	J	`jnl`	Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. NeuroImage Mohammad R. Arbabshirani, Sergey M. Plis, Jing Sui, Vince D. Calhoun
2016	J	`jnl`	Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE J. Sel. Top. Signal Process. Rogers F. Silva, Sergey M. Plis, Jing Sui, Marios S. Pattichis, Tülay Adali, Vince D. Calhoun
2016	—	`conf`	Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia. EMBC 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, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, First Birn, Tianzi Jiang, Jing Sui
2015	J	`jnl`	A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage Yuhui Du, Godfrey D. Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun
2015	J	`jnl`	Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. NeuroImage Qingbao Yu, Erik B. Erhardt, Jing Sui, Yuhui Du, Hao He, R. Devon Hjelm, Mustafa S. Çetin, Srinivas Rachakonda, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
2015	J	`jnl`	Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data. IEEE Trans. Auton. Ment. Dev. 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
2015	—	`conf`	Discriminating bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm. MLSP Nan-Feng Jie, Elizabeth A. Osuch, Mao-Hu Zhu, Xiao-Ying Ma, Michael Wammes, Tian-Zi Jiang, Jing Sui, Vince D. Calhoun
2015	—	`conf`	Dynamic default mode network connectivity diminished in patients with schizophrenia. ISBI Yuhui Du, Hao He, Lei Wu, Qingbao Yu, Jing Sui, Vince D. Calhoun
2015	—	`conf`	Resting fMRI measures are associated with cognitive deficits in schizophrenia assessed by the MATRICS consensus cognitive battery. Biomedical Applications in Molecular, Structural, and Functional Imaging Hao He, Juan R. Bustillo, Yuhui Du, Qingbao Yu, Thomas R. Jones, Tianzi Jiang, Vince D. Calhoun, Jing Sui
2014	—	`conf`	Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches. EMBC Yuhui Du, Elena A. Allen, Hao He, Jing Sui, Vince D. Calhoun
2014	—	`conf`	Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. EMBC Jing Sui, Eduardo Castro, Hao He, David A. Bridwell, Yuhui Du, Godfrey D. Pearlson, Tianzi Jiang, Vince D. Calhoun
2014	—	`conf`	Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. EMBC Yuhui Du, Jingyu Liu, Jing Sui, Hao He, Godfrey D. Pearlson, Vince D. Calhoun
2014	J	`jnl`	Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies. NeuroImage Jing Sui, René J. Huster, Qingbao Yu, Judith M. Segall, Vince D. Calhoun
2014	J	`jnl`	High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage 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
2014	—	`conf`	Semi-supervised learning of brain functional networks. ISBI Yuhui Du, Jing Sui, Qingbao Yu, Hao He, Vince D. Calhoun
2013	J	`jnl`	Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference. NeuroImage Jiayu Chen, 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
2013	J	`jnl`	Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia. NeuroImage Jing Sui, Hao He, 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, Vince D. Calhoun
2012	—	`conf`	Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. EMBC Jing Sui, Hao He, Jingyu Liu, Qingbao Yu, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun
2011	J	`jnl`	Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. NeuroImage Eduardo Castro, Manel Martínez-Ramón, Godfrey D. Pearlson, Jing Sui, Vince D. Calhoun
2011	J	`jnl`	Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. NeuroImage Jing Sui, Godfrey D. Pearlson, Arvind Caprihan, Tülay Adali, Kent A. Kiehl, Jingyu Liu, Jeremy Yamamoto, Vince D. Calhoun
2011	J	`jnl`	Source-Based Morphometry Analysis of Group Differences in Fractional Anisotropy in Schizophrenia. Brain Connect. Arvind Caprihan, Christopher C. Abbott, Jeremy Yamamoto, Godfrey D. Pearlson, Nora I. Perrone-Bizzozero, Jing Sui, Vince D. Calhoun
2010	J	`jnl`	A CCA + ICA based model for multi-task brain imaging data fusion and its application to schizophrenia. NeuroImage Jing Sui, Tülay Adali, Godfrey D. Pearlson, Honghui Yang, Scott R. Sponheim, Tonya White, Vince D. Calhoun
2010	J	`jnl`	Identification of Imaging Biomarkers in Schizophrenia: A Coefficient-constrained Independent Component Analysis of the Mind Multi-site Schizophrenia Study. Neuroinformatics Dae Il Kim, Jing Sui, Srinivas Rachakonda, Tonya White, Dara S. Manoach, Vincent P. Clark, Beng-Choon Ho, S. Charles Schulz, Vince D. Calhoun
2009	J	`jnl`	An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques. NeuroImage Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun
2008	Misc	`conf`	A constrained coefficient ica algorithm for group difference enhancement. ICASSP Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai Xu, Tülay Adali, Vince D. Calhoun
2008	—	`conf`	Exploration of the optimal group-discriminating features using CC-ICA. ACSCC Jing Sui, Vince D. Calhoun