Yuhui Du
Orcid: 0000-0002-0079-8177
According to our database1,
Yuhui Du
authored at least 50 papers
between 2012 and 2025.
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Bibliography
2025
Joint consensus kernel learning and adaptive hypergraph regularization for graph-based clustering.
Inf. Sci., 2025
2024
Cepstral Analysis-Based Artifact Detection, Recognition, and Removal for Prefrontal EEG.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024
Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia.
NeuroImage, 2024
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.
NeuroImage, 2024
Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation.
Knowl. Based Syst., 2024
2023
Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease.
Brain Connect., August, 2023
A new method for mining information of gut microbiome with probabilistic topic models.
Multim. Tools Appl., May, 2023
Neuroinformatics, April, 2023
A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia.
IEEE J. Biomed. Health Informatics, 2023
An Adaptive Semi-Supervised Deep Clustering and Its Application to Identifying Biotypes of Psychiatric Disorders.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Novel Method for Multi-subject fMRI Data Analysis: Independent Component Analysis with Clustering Embedded (ICA-CE).
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
How Does Aging Affect Whole-brain Functional Network Connectivity? Evidence from An ICA Method.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data.
Medical Image Anal., 2022
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
2021
A New Hypergraph Clustering Method For Exploring Transdiagnostic Biotypes In Mental Illnesses: Application To Schizophrenia And Psychotic Bipolar Disorder.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
A New Semi-Supervised Non-Negative Matrix Factorization Method For Brain Dynamic Functional Connectivity Analysis.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
A Transdiagnostic Biotype Detection Method for Schizophrenia and Autism Spectrum Disorder Based on Graph Kernel.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
SMART (splitting-merging assisted reliable) Independent Component Analysis for Brain Functional Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
A deep learning fusion model for brain disorder classification: Application to distinguishing schizophrenia and autism spectrum disorder.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism.
NeuroImage, 2019
Transient Patterns of Functional Dysconnectivity in Clinical High Risk and Early Illness Schizophrenia Individuals Compared with Healthy Controls.
Brain Connect., 2019
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
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
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia.
NeuroImage, 2018
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.
NeuroImage, 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
2017
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.
NeuroImage, 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
Group information guided ICA shows more sensitivity to group differences than dual-regression.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Identifying FMRI dynamic connectivity states using affinity propagation clustering method: Application to schizophrenia.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
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
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
Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
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
Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns.
NeuroImage, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Identification of subject specific and functional consistent ROIs using semi-supervised learning.
Proceedings of the Medical Imaging 2012: Image Processing, 2012