Jing Sui
Orcid: 0000-0001-6837-5966
According to our database1,
Jing Sui
authored at least 72 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks.
IEEE Trans. Biomed. Eng., April, 2024
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.
NeuroImage, 2024
2023
The Individualized Prediction of Neurocognitive Function in People Living With HIV Based on Clinical and Multimodal Connectome Data.
IEEE J. Biomed. Health Informatics, April, 2023
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs.
CoRR, 2023
ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
IEEE Signal Process. Mag., 2022
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging.
IEEE Signal Process. Mag., 2022
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data.
Medical Image Anal., 2022
SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data.
Medical Image Anal., 2022
Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales.
Brain Connect., 2022
'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.
IEEE Trans. Medical Imaging, 2021
Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia.
NeuroImage, 2021
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder.
Brain Connect., 2021
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Fusion of Multiple Spatial Networks Derived from Complex-Valued fMRI Data via CNN Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates <sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.
IEEE Trans. Biomed. Eng., 2020
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships.
NeuroImage, 2020
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Multi-modal component subspace-similarity-based multi-kernel SVM for schizophrenia classification.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism.
NeuroImage, 2019
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm.
J. Signal Process. Syst., 2018
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.
IEEE Trans. Medical Imaging, 2018
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.
Proc. IEEE, 2018
NeuroImage, 2018
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.
NeuroImage, 2018
Multiple Classifier Fusion and Optimization for Automatic Focal Cortical Dysplasia Detection on Magnetic Resonance Images.
IEEE Access, 2018
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.
NeuroImage, 2017
NeuroImage, 2017
NeuroImage, 2017
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.
IEEE J. Sel. Top. Signal Process., 2016
Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data.
IEEE Trans. Auton. Ment. Dev., 2015
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia.
NeuroImage, 2015
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders.
NeuroImage, 2015
Resting fMRI measures are associated with cognitive deficits in schizophrenia assessed by the MATRICS consensus cognitive battery.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies.
NeuroImage, 2014
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia.
NeuroImage, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia.
NeuroImage, 2013
Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference.
NeuroImage, 2013
2012
Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.
NeuroImage, 2011
Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia.
NeuroImage, 2011
Source-Based Morphometry Analysis of Group Differences in Fractional Anisotropy in Schizophrenia.
Brain Connect., 2011
2010
Identification of Imaging Biomarkers in Schizophrenia: A Coefficient-constrained Independent Component Analysis of the Mind Multi-site Schizophrenia Study.
Neuroinformatics, 2010
A CCA + ICA based model for multi-task brain imaging data fusion and its application to schizophrenia.
NeuroImage, 2010
2009
An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques.
NeuroImage, 2009
2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008