Jing Sui

发表

Resting fMRI measures are associated with cognitive deficits in schizophrenia assessed by the MATRICS consensus cognitive battery

Hao He, Vince D. Calhoun, Tianzi Jiang, 2015, Medical Imaging.

Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia

Jessica A. Turner, Bryon A. Mueller, Vince D. Calhoun, 2018, IEEE Transactions on Medical Imaging.

Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling

Vince D. Calhoun, Marios S. Pattichis, Sergey M. Plis, 2016, IEEE Journal of Selected Topics in Signal Processing.

An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques

Vince D. Calhoun, Tülay Adali, Jing Sui, 2009, NeuroImage.

A review of multivariate methods for multimodal fusion of brain imaging data

Vince D. Calhoun, Tülay Adali, Qingbao Yu, 2012, Journal of Neuroscience Methods.

Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components

Vince D. Calhoun, Tianzi Jiang, Shuang Gao, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

A crossing path scene-based algorithm for nonuniformity correction in focal-plane array sensors

Jing Sui, Liquan Dong, Weiqi Jin, 2006, SPIE Optics + Photonics.

A constrained coefficient ica algorithm for group difference enhancement

Lai Xu, Vince D. Calhoun, Lei Wu, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model

Vince D. Calhoun, Tülay Adali, Jing Sui, 2011, NeuroImage.

Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder

Miao Pan, Vince D. Calhoun, Tianzi Jiang, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study

Zening Fu, Jing Sui, Shile Qi, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks

Hao He, Vince D. Calhoun, Yuhui Du, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity

Vince D. Calhoun, Tianzi Jiang, Yuhui Du, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis

Dinggang Shen, Han Zhang, Jing Sui, 2018, MICCAI.

A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework

Tülay Adali, Jing Sui, Godfrey D Pearlson, 2009, Human brain mapping.

Function–structure associations of the brain: Evidence from multimodal connectivity and covariance studies

Vince D. Calhoun, Qingbao Yu, Jing Sui, 2014, NeuroImage.

Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method

Vince D. Calhoun, Sergey M. Plis, Tianzi Jiang, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia

Adrian Preda, Jingyu Liu, Zening Fu, 2019, Human brain mapping.

Source-Based Morphometry Analysis of Group Differences in Fractional Anisotropy in Schizophrenia

Vince D. Calhoun, Jing Sui, Arvind Caprihan, 2011, Brain Connect..

High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia

Vince D. Calhoun, Vamsi K. Potluru, Sergey M. Plis, 2014, NeuroImage.

Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method

Vince D. Calhoun, Jing Sui, Mohammad S. E. Sendi, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia

Hao He, Bryon A. Mueller, Vince D. Calhoun, 2013, NeuroImage.

Connectome-based individualized prediction of temperament trait scores

Vince D. Calhoun, Tianzi Jiang, Dongdong Lin, 2018, NeuroImage.

Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism

Vince D. Calhoun, Zening Fu, Bharat B. Biswal, 2019, NeuroImage.

Parallel Group ICA + ICA: Joint Estimation of Linked Functional Network Variability and Structural Covariation with Application to Schizophrenia

Jessica A. Turner, Bryon A. Mueller, Vince D. Calhoun, 2019, bioRxiv.

A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia

Vince D. Calhoun, Tülay Adali, Jing Sui, 2010, NeuroImage.

Artifact removal in the context of group ICA: A comparison of single‐subject and group approaches

Hao He, Yuhui Du, Jing Sui, 2016, Human brain mapping.

Dynamic default mode network connectivity diminished in patients with schizophrenia

Hao He, Vince D. Calhoun, Lei Wu, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis*

Vince D. Calhoun, Dongdong Lin, Lin Tian, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data

Jing Sui, Kaibin Xu, Tianzi Jiang, 2019, EBioMedicine.

Performance evaluation of ideal low-light-level imaging system based on the MRC model

Yan Zhou, Jing Sui, Weiqi Jin, 2005, SPIE/COS Photonics Asia.

Multiple Classifier Fusion and Optimization for Automatic Focal Cortical Dysplasia Detection on Magnetic Resonance Images

Wilfried Philips, Danni Ai, Yongtian Wang, 2018, IEEE Access.

ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework

Xiaojie Guo, Jing Sui, Vince D Calhoun, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection

Hao He, Vince D. Calhoun, Tianzi Jiang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Group ICA for identifying biomarkers in schizophrenia: ‘Adaptive’ networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression

Vince D. Calhoun, Daniel H. Mathalon, Zening Fu, 2018, NeuroImage: Clinical.

Computational Analysis of Performance of Smoke Exhaust System in Atrium Buildings with Nonuniform Spaces

Xin Wang, Yan Feng Li, Jing Sui, 2011 .

Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning

Vince D. Calhoun, Yufeng Wang, Lu Liu, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms

Paul M. Thompson, Jing Sui, Shantanu H. Joshi, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder

Jessica A. Turner, Vince D. Calhoun, Zening Fu, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study

Hao He, Vince D. Calhoun, Yuhui Du, 2016, Front. Hum. Neurosci..

Exploration of the optimal group-discriminating features using CC-ICA

Jing Sui, V.D. Calhoun, V. Calhoun, 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data

Vince D. Calhoun, Yu Zhang, Mao-Hu Zhu, 2015, IEEE Transactions on Autonomous Mental Development.

Group ICA for Identifying Biomarkers in Schizophrenia: ‘Adaptive’ Networks via Spatially Constrained ICA Show More Sensitivity to Group Differences than Spatio-temporal Regression

Judith M. Ford, Dongdong Lin, Zening Fu, 2018 .

An ensemble learning system for a 4-way classification of Alzheimer’s disease and mild cognitive impairment

Vince D. Calhoun, Yuhui Du, Jing Sui, 2018, Journal of Neuroscience Methods.

Semi-supervised learning of brain functional networks

Hao He, Vince D. Calhoun, Yuhui Du, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Identification of Imaging Biomarkers in Schizophrenia: A Coefficient-constrained Independent Component Analysis of the Mind Multi-site Schizophrenia Study

Vince D. Calhoun, Jing Sui, Srinivas Rachakonda, 2010, Neuroinformatics.

Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs

Vince D. Calhoun, Yuhui Du, Qingbao Yu, 2018, Proceedings of the IEEE.

Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia

Hao He, Vince D. Calhoun, Tülay Adali, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches

Hao He, Vince D. Calhoun, Yuhui Du, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia

Hao He, Vince D. Calhoun, Yuhui Du, 2015, NeuroImage.

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

Vince D. Calhoun, Sergey M. Plis, Jing Sui, 2017, NeuroImage.

Human Neuroscience

Vince D. Calhoun, Jingyu Liu, Jing Sui, 2022 .

Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data

Vince D. Calhoun, Dongdong Lin, Yuhui Du, 2017, Front. Neurosci..

Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm

Vince D. Calhoun, Tianzi Jiang, Mao-Hu Zhu, 2015, Journal of Signal Processing Systems.

Discriminating bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm

Vince D. Calhoun, Tianzi Jiang, Mao-Hu Zhu, 2015, MLSP.

Summarize on the scene-based nonuniformity correction algorithms for IRFPA

Jing Sui, Liquan Dong, Weiqi Jin, 2005, SPIE Optics + Photonics.

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders

Vince D. Calhoun, Jing Sui, Shile Qi, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI

Jing Sui, Dongren Yao, Hao Guan, 2021, MICCAI.

An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia

Vince D. Calhoun, Tianzi Jiang, Jing Sui, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity

Dinggang Shen, Jing Sui, Mingxia Liu, 2021, IEEE Transactions on Medical Imaging.

Diagnosis of Schizophrenia with Functional Connectome Data: A Graph-Based Convolutional Neural Network Approach

Jing Sui, Il-Seok Oh, Kanghan Oh, 2021 .

Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates *

Jing Sui, Dongren Yao, Li Sun, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Fusion of Multiple Spatial Networks Derived from Complex-Valued fMRI Data via CNN Classification

Vince D. Calhoun, Qiu-Hua Lin, Jing Sui, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder

Jessica A. Turner, Vince D. Calhoun, Zening Fu, 2021, Brain Connect..

3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia

Vince D. Calhoun, Sergey M. Plis, Rogers F. Silva, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Brain imaging-based machine learning in autism spectrum disorder: methods and applications

Jing Sui, Vince Calhoun, Rongtao Jiang, 2021, Journal of Neuroscience Methods.

Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion

Adrian Preda, Tianzi Jiang, Dongdong Lin, 2018, Nature Communications.

A method for building a genome-connectome bipartite graph model

Jessica A. Turner, Bryon A. Mueller, Vince D. Calhoun, 2019, Journal of Neuroscience Methods.

Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores

Tianzi Jiang, Dongdong Lin, Zening Fu, 2019, Cerebral cortex.

Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders.

Tianzi Jiang, Yuhui Du, Qingbao Yu, 2016, Journal of affective disorders.

Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities

Zening Fu, Jiayu Chen, Yuhui Du, 2019, Human brain mapping.

Identification of Genetic and Epigenetic Marks Involved in Population Structure

Kent Hutchison, Jing Sui, Jingyu Liu, 2010, PloS one.

Machine learning in major depression: From classification to treatment outcome prediction

Jing Sui, Vince D Calhoun, V. Calhoun, 2018, CNS neuroscience & therapeutics.

Electroconvulsive therapy treatment responsive multimodal brain networks

Jing Sui, Shile Qi, Vince D Calhoun, 2020, Human brain mapping.

Network modules linking expression and methylation in prefrontal cortex of schizophrenia

Vince D. Calhoun, Dongdong Lin, Jiayu Chen, 2018, bioRxiv.

Vince D. Calhoun, Qingbao Yu, Jing Sui, 2013, Schizophrenia Research.

Identifying dynamic functional connectivity biomarkers using GIG‐ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder

Dongdong Lin, Jiayu Chen, Yuhui Du, 2017, Human brain mapping.

Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population

Tianzi Jiang, Jian Li, Yuhui Du, 2019, Schizophrenia bulletin.

Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures

Vince D. Calhoun, Juan R. Bustillo, Jing Sui, 2016, Front. Neurosci..

Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises

Jing Sui, Juan Bustillo, Vince Calhoun, 2020, Biological Psychiatry.

Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia

Theo G. M. van Erp, Jessica A. Turner, Bryon A. Mueller, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Functional Connectivity Hubs Could Serve as a Potential Biomarker in Alzheimer's Disease: A Reproducible Study.

Tianzi Jiang, Jing Sui, Xinqing Zhang, 2015, Current Alzheimer research.

Variability in Resting State Network and Functional Network Connectivity Associated With Schizophrenia Genetic Risk: A Pilot Study

Vince D. Calhoun, Dongdong Lin, Jiayu Chen, 2018, Front. Neurosci..

A Schizophrenia-Related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population

Vince D. Calhoun, Tianzi Jiang, Dongdong Lin, 2018, EBioMedicine.

Shared Genetic Risk of Schizophrenia and Gray Matter Reduction in 6p22.1

Dongdong Lin, Jiayu Chen, Yuhui Du, 2017, Schizophrenia bulletin.

Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study

Vince D. Calhoun, Daniel H. Mathalon, Dongdong Lin, 2017, NeuroImage: Clinical.

Altered Topological Properties of Functional Network Connectivity in Schizophrenia during Resting State: A Small-World Brain Network Study

Vince D. Calhoun, Qingbao Yu, Jing Sui, 2011, PloS one.