Adaptive window selection in estimating dynamic functional connectivity of resting-state fMRI. - Zhiguo Zhang 001; Zening Fu; Shing-Chow Chan; Y. S. Hung; G. Motta; Xin Di; Bharat B. Biswal (ICICS, 2013)

Time-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI. - Zening Fu; Xin Di; Shing-Chow Chan; Yeung Sam Hung; Bharat B. Biswal; Zhiguo Zhang 001 (EMBC, 2013)

Estimation of time-varying autocorrelation and its application to time-frequency analysis of nonstationary signals. - Zening Fu; Zhiguo Zhang 001; Shing-Chow Chan (ISCAS, 2013)

Adaptive Covariance Estimation of Non-Stationary Processes and its Application to Infer Dynamic Connectivity From fMRI. - Zening Fu; Shing-Chow Chan; Xin Di; Bharat B. Biswal; Zhiguo Zhang 001 (IEEE Trans. Biomed. Circuits Syst., 2014)

L0-regularized time-varying sparse inverse covariance estimation for tracking dynamic fMRI brain networks. - Zening Fu; Sheng Han; Ao Tan; Yiheng Tu; Zhiguo Zhang 001 (EMBC, 2015)

Joint source separation of simultaneous EEG-fMRI recording in two experimental conditions using common spatial patterns. - Ao Tan; Zening Fu; Yiheng Tu; Yeung Sam Hung; Zhiguo Zhang 001 (EMBC, 2015)

Supervised nonlinear dimension reduction of functional magnetic resonance imaging data using Sliced Inverse Regression. - Yiheng Tu; Ao Tan; Zening Fu; Yeung Sam Hung; Li Hu; Zhiguo Zhang 001 (EMBC, 2015)

A least across-segment variance (LASV) method for the correction of EEG-fMRI desynchronization. - Ao Tan; Yiheng Tu; Zening Fu; Gan Huang; Yeung Sam Hung; Zhiguo Zhang 001 (NER, 2017)

A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction. - Yiheng Tu; Zening Fu; Ao Tan; Gan Huang; Li Hu; Yeung Sam Hung; Zhiguo Zhang 001 (Neurocomputing, 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)

Connectome-based individualized prediction of temperament trait scores. - 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 (NeuroImage, 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)

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)

Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. - Tiantian Li; Zening Fu; Xia Liu; Shile Qi; Vince D. Calhoun; Jing Sui (ISBI, 2019)

Transfer Learning of fMRI Dynamics. - Usman Mahmood; Md Mahfuzur Rahman; Alex Fedorov; Zening Fu; Sergey M. Plis (CoRR, 2019)

Learnt dynamics generalizes across tasks, datasets, and populations. - Usman Mahmood; Md Mahfuzur Rahman; Alex Fedorov; Zening Fu; Vince D. Calhoun; Sergey M. Plis (CoRR, 2019)

A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI. - Ahmed M. Anter; Yichen Wei; Jiahui Su; Yueming Yuan; Beiying Lei; Gaoxiong Duan; Wei Mai; Xiucheng Nong; Bihan Yu; Chong Li; Zening Fu; Lihua Zhao; et al. (Inf. Sci., 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)

Varying Information Complexity in Functional Domain Interactions in Schizophrenia. - Ishaan Batta; Anees Abrol; Zening Fu; Vince D. Calhoun (BIBE, 2020)

Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia. - Haleh Falakshahi; Hooman Rokham; Zening Fu; Daniel H. Mathalon; Judith M. Ford; James Voyvodic; Bryon A. Mueller; Aysenil Belger; Sarah C. McEwen; Steven G. Potkin; Adrian Preda; Armin Iraji; et al. (BIBE, 2020)

Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. - 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; et al. (EMBC, 2020)

Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. - Armin Iraji; Noah Lewis; Ashkan Faghiri; Zening Fu; Thomas DeRamus; Anees Abrol; Shile Qi; Vince D. Calhoun (ISBI, 2020)

Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. - Usman Mahmood; Md Mahfuzur Rahman; Alex Fedorov; Noah Lewis; Zening Fu; Vince D. Calhoun; Sergey M. Plis (MICCAI (7), 2020)

A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. - Mohammad S. Eslampanah Sendi; Elaheh Zendehrouh; Zening Fu; Babak Mahmoudi; Robyn L. Miller; Vince D. Calhoun (SSIAI, 2020)

Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. - 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 (NeuroImage, 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)

Machine Learning Predicts Treatment Response in Bipolar & Major Depression Disorders. - Mustafa S. Salman; Eric Verner; Henry Jeremy Bockholt; Zening Fu; Vince D. Calhoun (BIBE, 2021)

Fusing multimodal neuroimaging data with a variational autoencoder. - Eloy Geenjaar; Noah Lewis; Zening Fu; Rohan Venkatdas; Sergey M. Plis; Vince D. Calhoun (EMBC, 2021)

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. - Md Abdur Rahaman; Jiayu Chen 003; Zening Fu; Noah Lewis; Armin Iraji; Vince D. Calhoun (EMBC, 2021)

Multimodal Brain Age Prediction with Feature Selection and Comparison. - Bhaskar Ray; Kuaikuai Duan; Jiayu Chen 003; Zening Fu; Pranav Suresh; Sarah Johnson; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2021)

A Multimodal Learning Framework to Study Varying Information Complexity in Structural and Functional Sub-Domains in Schizophrenia. - Ishaan Batta; Anees Abrol; Zening Fu; Vince D. Calhoun (ISBI, 2021)

A Deep Learning Model for Data-Driven Discovery of Functional Connectivity. - Usman Mahmood; Zening Fu; Vince D. Calhoun; Sergey M. Plis (Algorithms, 2021)

The Influence of Cerebral Small Vessel Disease on Static and Dynamic Functional Network Connectivity in Subjects Along Alzheimer's Disease Continuum. - Kaicheng Li; Zening Fu; Xiao Luo; Qingze Zeng; Peiyu Huang; Minming Zhang; Vince D. Calhoun (Brain Connect., 2021)

Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. - 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; et al. (Brain Connect., 2021)

Brain dynamics via Cumulative Auto-Regressive Self-Attention. - Usman Mahmood; Zening Fu; Vince D. Calhoun; Sergey M. Plis (CoRR, 2021)

Multi network InfoMax: A pre-training method involving graph convolutional networks. - Usman Mahmood; Zening Fu; Vince D. Calhoun; Sergey M. Plis (CoRR, 2021)

Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI. - Li Zhang 041; Zening Fu; Wenwen Zhang; Gan Huang; Zhen Liang; Linling Li; Bharat B. Biswal; Vince D. Calhoun; Zhiguo Zhang 001 (Neurocomputing, 2021)

Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. - Zening Fu; Armin Iraji; Jessica A. Turner; Jing Sui; Robyn L. Miller; Godfrey D. Pearlson; Vince D. Calhoun (NeuroImage, 2021)

A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. - Giorgio Dolci; Md Abdur Rahaman; Jiayu Chen 003; Kuaikuai Duan; Zening Fu; Anees Abrol; Gloria Menegaz; Vince D. Calhoun (BIBE, 2022)

Learning Active Multimodal Subspaces in the Brain. - Ishaan Batta; Anees Abrol; Zening Fu; Vince D. Calhoun (EMBC, 2022)

Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD Study. - Yuda Bi; Anees Abrol; Zening Fu; Vince D. Calhoun (EMBC, 2022)

Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children. - Zening Fu; Mustafa S. Salman; Jingyu Liu 001; Vince D. Calhoun (EMBC, 2022)

Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder. - Xinhui Li; Eloy Geenjaar; Zening Fu; Sergey M. Plis; Vince D. Calhoun (EMBC, 2022)

'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies. - Weizheng Yan; Zening Fu; Jing Sui; Vince D. Calhoun (EMBC, 2022)

Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. - Usman Mahmood; Zening Fu; Vince D. Calhoun; Sergey M. Plis (IJCNN, 2022)

Longitudinal Whole-Brain Functional Network Change Patterns Over A Two-Year Period In The ABCD Data. - Rekha Saha; Debbrata K. Saha; Md Abdur Rahaman; Zening Fu; Vince D. Calhoun (ISBI, 2022)

Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. - Md Abdur Rahaman; Yash Garg; Armin Iraji; Zening Fu; Jiayu Chen 003; Vince D. Calhoun (MLSP, 2022)

Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales. - 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; et al. (Brain Connect., 2022)

An Approach to Automatically Label and Order Brain Activity/Component Maps. - Mustafa S. Salman; Tor D. Wager; Eswar Damaraju; Anees Abrol; Victor M. Vergara; Zening Fu; Vince D. Calhoun (Brain Connect., 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)

Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping. - Armin Iraji; Ashkan Faghiri; Zening Fu; Peter V. Kochunov; Bhim M. Adhikari; Aysenil Belger; Judith M. Ford; Sarah C. McEwen; Daniel H. Mathalon; Godfrey D. Pearlson; Steven G. Potkin; Adrian Preda; et al. (NeuroImage, 2022)

Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRI. - Usman Mahmood; Zening Fu; Satrajit S. Ghosh; Vince D. Calhoun; Sergey M. Plis (NeuroImage, 2022)

Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study. - Ishaan Batta; Anees Abrol; Zening Fu; Adrian Preda; Theo G. M. van Erp; Vince D. Calhoun (Neuroinformatics, 2022)

Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. - Rekha Saha; Debbrata K. Saha; Zening Fu; Rogers F. Silva; Vince D. Calhoun (BHI, 2023)

Functional and Structural Longitudinal Change Patterns in Adolescent Brain. - Rekha Saha; Debbrata K. Saha; Zening Fu; Rogers F. Silva; Vince D. Calhoun (EMBC, 2023)

Phase and amplitude, two sides of functional connectivity. - Sir-Lord Wiafe; Zening Fu; Vince D. Calhoun; Ashkan Faghiri (EMBC, 2023)

Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. - Giorgio Dolci; Md Abdur Rahaman; Ilaria Boscolo Galazzo; Federica Cruciani; Anees Abrol; Jiayu Chen 003; Zening Fu; Kuaikuai Duan; Gloria Menegaz; Vince D. Calhoun (ICASSP Workshops, 2023)

Glacier: Glass-Box Transformer for Interpretable Dynamic Neuroimaging. - Usman Mahmood; Zening Fu; Vince D. Calhoun; Sergey M. Plis (ICASSP, 2023)

Self-Supervised Mental Disorder Classifiers via Time Reversal. - Zafar Iqbal; Usman Mahmood; Zening Fu; Sergey M. Plis (IJCNN, 2023)

MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data. - Yuda Bi; Anees Abrol; Zening Fu; Vince D. Calhoun (ISBI, 2023)

Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques. - Armin Iraji; Jiayu Chen 003; Ashkan Faghiri; Zening Fu; Jingyu Liu 001; Juan R. Bustillo; Tülay Adali; Mukesh Dhamala; Vince D. Calhoun (ISBI, 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)

A Deep Biclustering Framework for Brain Network Analysis. - Md Abdur Rahaman; Zening Fu; Armin Iraji; Vince D. Calhoun (CVPR Workshops, 2024)

Identifying Canonical multi-scale Intrinsic Connectivity Networks in Infant resting-state fMRI and their Association with Age. - Prerana Bajracharya; Ashkan Faghiri; Zening Fu; Vince D. Calhoun; Sarah Shultz; Armin Iraji (EMBC, 2024)

NeuroMark PET: Replicable positron emission tomography ICA templates for florbetapir and florbetaben radioligands. - Cyrus Eierud; Zening Fu; Helen Petropoulos; Anastasia Bohsali; Armin Iraji; Melanie Ganz; Cyril R. Pernet; Vince D. Calhoun (EMBC, 2024)

SpaDE: Semantic Locality Preserving Biclustering for Neuroimaging Data. - Md Abdur Rahaman; Zening Fu; Armin Iraji; Vince D. Calhoun (EMBC, 2024)

Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment. - Bradley T. Baker; Mustafa S. Salman; Zening Fu; Armin Iraji; Elizabeth A. Osuch; Henry Jeremy Bockholt; Vince D. Calhoun (ISBI, 2024)

Replication and Refinement of Brain Age Model for Adolescent Development. - Bhaskar Ray; Jiayu Chen 003; Zening Fu; Pranav Suresh; Bishal Thapaliya; Britny Farahdel; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2024)

Capturing Stretching and Shrinking of Inter-Network Temporal Coupling in FMRI Via WARP Elasticity. - Sir-Lord Wiafe; Ashkan Faghiri; Zening Fu; Robyn L. Miller; Vince D. Calhoun (ISBI, 2024)

Transformed Skin: Changing own skin texture feeling for VR avatar embodiment. - Sohei Wakisaka; Masatoshi Matsubara; Haruka Onoda; Zening Fu; Lucas Ogasawara; Kouta Minamizawa (SIGGRAPH Asia Emerging Technologies, 2024)

A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. - Rekha Saha; Debbrata K. Saha; Md Abdur Rahaman; Zening Fu; Jingyu Liu 001; Vince D. Calhoun (Brain Connect., 2024)

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. - Ziyu Zhou; Anton Orlichenko; Gang Qu 002; Zening Fu; Vince D. Calhoun; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. - Giorgio Dolci; Federica Cruciani; Md Abdur Rahaman; Anees Abrol; Jiayu Chen 003; Zening Fu; Ilaria Boscolo Galazzo; Gloria Menegaz; Vince D. Calhoun (CoRR, 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)

A simple but tough-to-beat baseline for fMRI time-series classification. - Pavel Popov; Usman Mahmood; Zening Fu; Carl Yang 001; Vince D. Calhoun; Sergey M. Plis (NeuroImage, 2024)

Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment. - Sahithi Kolla; Haleh Falakshahi; Anees Abrol; Zening Fu; Vince D. Calhoun (Sensors, 2024)

Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks. - Weizheng Yan; Zening Fu; Rongtao Jiang; Jing Sui; Vince D. Calhoun (IEEE Trans. Biomed. Eng., 2024)

Functional Network Connectivity in White Matter: A Group Informed ICA-Based Network Approach. - Vaibhavi S. Itkyal; Armin Iraji; Zening Fu; Vince D. Calhoun (ISBI, 2025)

Spontaneous Brain Dynamics Associated with Acceleration of Long-Term Functional Connectome in Postnatal Development. - Liang Ma; Sarah Shultz; Zening Fu; Masoud Seraji; Armin Iraji; Vince D. Calhoun (ISBI, 2025)

Longitudinal Patterns of Functional Network Changes Over Four-Year Period Associated with Sex in the Developing Brain. - Rekha Saha; Debbrata K. Saha; Zening Fu; Tülay Adali; Vince D. Calhoun (ISBI, 2025)

MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model. - Yuda Bi; Sihan Jia; Yutong Gao 002; Anees Abrol; Zening Fu; Vince D. Calhoun (CoRR, 2025)