Identification of subject specific and functional consistent ROIs using semi-supervised learning. - Yuhui Du; Hongming Li; Hong Wu; Yong Fan 001 (Image Processing, 2012)

fMRI alignment based on local functional connectivity patterns. - Di Jiang; Yuhui Du; Hewei Cheng; Tianzi Jiang; Yong Fan 001 (Image Processing, 2012)

Group information guided ICA for fMRI data analysis. - Yuhui Du; Yong Fan 001 (NeuroImage, 2013)

Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns. - Di Jiang; Yuhui Du; Hewei Cheng; Tianzi Jiang; Yong Fan 001 (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)

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)

Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders. - Yuhui Du; Godfrey D. Pearlson; Hao He 002; Lei Wu 013; Jiayu Chen 003; 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)

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)

Identifying FMRI dynamic connectivity states using affinity propagation clustering method: Application to schizophrenia. - Mustafa S. Salman; Yuhui Du; Vince D. Calhoun (ICASSP, 2017)

Group information guided ICA shows more sensitivity to group differences than dual-regression. - Mustafa S. Salman; Yuhui Du; Eswar Damaraju; Qiu-Hua Lin; Vince D. Calhoun (ISBI, 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)

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)

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)

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)

Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia. - Zening Fu; Yiheng Tu; Xin Di; Yuhui Du; Godfrey D. Pearlson; Jessica A. Turner; Bharat B. Biswal; Zhiguo Zhang 001; Vince D. Calhoun (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)

Prediction of Progression to Alzheimer's disease with Deep InfoMax. - Alex Fedorov; R. Devon Hjelm; Anees Abrol; Zening Fu; Yuhui Du; Sergey M. Plis; Vince D. Calhoun (BHI, 2019)

Modeling Causal Learning with the Linear Ballistic Accumulator. - Yuhui Du; Nitisha Desai; Renlai Zhou (CogSci, 2019)

Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression. - Anees Abrol; Zening Fu; Yuhui Du; Vince D. Calhoun (EMBC, 2019)

Transient Patterns of Functional Dysconnectivity in Clinical High Risk and Early Illness Schizophrenia Individuals Compared with Healthy Controls. - Eva Mennigen; Susanna Fryer; Barnaly Rashid; Eswar Damaraju; Yuhui Du; Rachel L. Loewy; Barbara Stuart; Vince D. Calhoun; Daniel H. Mathalon (Brain Connect., 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)

A deep learning fusion model for brain disorder classification: Application to distinguishing schizophrenia and autism spectrum disorder. - Yuhui Du; Bang Li; Yuliang Hou; Vince D. Calhoun (BCB, 2020)

Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. - Thomas DeRamus; Armin Iraji; Zening Fu; Rogers F. Silva; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002; Yuhui Du; Jingyu Liu 001; Vince D. Calhoun (BIBE, 2021)

Probing the Mental Representation of Relation-Defined Categories. - Yuhui Du; John E. Hummel; Alexander A. Petrov (CogSci, 2021)

SMART (splitting-merging assisted reliable) Independent Component Analysis for Brain Functional Networks. - Yuhui Du; Xingyu He; Vince D. Calhoun (EMBC, 2021)

A Transdiagnostic Biotype Detection Method for Schizophrenia and Autism Spectrum Disorder Based on Graph Kernel. - Yuhui Du; Hui Hao; Ying Xing; Ju Niu; Vince D. Calhoun (EMBC, 2021)

A New Semi-Supervised Non-Negative Matrix Factorization Method For Brain Dynamic Functional Connectivity Analysis. - Yuhui Du; Xingyu He; Vince D. Calhoun (ISBI, 2021)

A New Hypergraph Clustering Method For Exploring Transdiagnostic Biotypes In Mental Illnesses: Application To Schizophrenia And Psychotic Bipolar Disorder. - Yuhui Du; Ju Niu; Vince D. Calhoun (ISBI, 2021)

Exaggeration of Stimulus Attributes in the Representation of Relational Categories. - Yuhui Du; John E. Hummel; Alexander A. Petrov (CogSci, 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)

Design of a Two-Channel Forehead PPG Sensor. - Yuhui Du; Chao Sun; Milin Zhang 001; Songping Mai (BioCAS, 2023)

How Does Aging Affect Whole-brain Functional Network Connectivity? Evidence from An ICA Method. - Yuhui Du; Yating Guo; Vince D. Calhoun (EMBC, 2023)

A Novel Method for Multi-subject fMRI Data Analysis: Independent Component Analysis with Clustering Embedded (ICA-CE). - Yuhui Du; Wenchao Zhu; Yuduo Zhang (EMBC, 2023)

An Adaptive Semi-Supervised Deep Clustering and Its Application to Identifying Biotypes of Psychiatric Disorders. - Yuhui Du; Fulin Wu; Ju Niu; Vince D. Calhoun (ISBI, 2023)

A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia. - Ying Xing; Peter V. Kochunov; Theo G. M. van Erp; Tianzhou Ma; Vince D. Calhoun; Yuhui Du (IEEE J. Biomed. Health Informatics, 2023)

IABC: A Toolbox for Intelligent Analysis of Brain Connectivity. - Yuhui Du; Yanshu Kong; Xingyu He (Neuroinformatics, 2023)

A new method for mining information of gut microbiome with probabilistic topic models. - Xin Xiong; Minrui Li; Yuyan Ren; Xusheng Yao; Yuhui Du; Qingsong Huang; Xiangyang Kong; Jianfeng He (Multim. Tools Appl., 2023)

Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. - Mohammad S. Eslampanah Sendi; Elaheh Zendehrouh; Zening Fu; Jingyu Liu 001; Yuhui Du; Elizabeth Mormino; David H. Salat; Vince D. Calhoun; Robyn L. Miller (Brain Connect., 2023)

Design of a PPG-Based Respiratory Sensor. - Yuhui Du; Chao Sun; Yuan Ma; Shuan Liu; Milin Zhang 001 (ICM, 2024)

Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation. - Chao Zhai; Yuhui Du; Hong Qu; Tianlei Wang; Fan Zhang 068; Mingsheng Fu; Wenyu Chen 001 (Knowl. Based Syst., 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)

Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia. - Ying Xing; Godfrey D. Pearlson; Peter V. Kochunov; Vince D. Calhoun; Yuhui Du (NeuroImage, 2024)

Cepstral Analysis-Based Artifact Detection, Recognition, and Removal for Prefrontal EEG. - Siqi Han; Chao Zhang 075; Jiaxin Lei; Qingquan Han; Yuhui Du; Anhe Wang; Shuo Bai; Milin Zhang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

A New Noisy Label Learning Method for Accurate Brain Age Prediction. - Yuhui Du; Ruotong Li; Zheng Wang; Vince D. Calhoun (ISBI, 2025)

A cross-feature mutual learning framework integrating multiple features for brain disorder diagnosis. - Xiangxiang Cui; Min Zhao; Dongmei Zhi; Aichen Feng; Yuhui Du; Vince D. Calhoun; Jing Sui (Neurocomputing, 2025)

Joint consensus kernel learning and adaptive hypergraph regularization for graph-based clustering. - Ju Niu; Yuhui Du (Inf. Sci., 2025)

A graph transformer-based foundation model for brain functional connectivity network. - Yulong Wang; Vince D. Calhoun; Godfrey D. Pearlson; Peter V. Kochunov; Theo G. M. van Erp; Yuhui Du (Pattern Recognit., 2026)