Zening Fu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 74

Top Topics

Multivariate Time Series

Network Connectivity

Top Venues

Publications

Zening Fu, Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman, Yuhui Du, Armin Iraji, Sarah Shultz, Jing Sui, Vince D. Calhoun
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. NeuroImage 292 (2024)
Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Jingyu Liu, Vince D. Calhoun
A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. Brain Connect. 14 (2) (2024)
Bradley T. Baker, Mustafa S. Salman, Zening Fu, Armin Iraji, Elizabeth A. Osuch, Henry Jeremy Bockholt, Vince D. Calhoun
Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment. CoRR (2024)
Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. CoRR (2024)
Weizheng Yan, Zening Fu, Rongtao Jiang, Jing Sui, Vince D. Calhoun
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks. IEEE Trans. Biomed. Eng. 71 (4) (2024)
Sahithi Kolla, Haleh Falakshahi, Anees Abrol, Zening Fu, Vince D. Calhoun
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment. Sensors 24 (3) (2024)
Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. CoRR (2024)
Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Glacier: Glass-Box Transformer for Interpretable Dynamic Neuroimaging. ICASSP (2023)
Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun
Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. ICASSP Workshops (2023)
Sir-Lord Wiafe, Zening Fu, Vince D. Calhoun, Ashkan Faghiri
Phase and amplitude, two sides of functional connectivity. EMBC (2023)
Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis
Self-Supervised Mental Disorder Classifiers via Time Reversal. IJCNN (2023)
Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun
Functional and Structural Longitudinal Change Patterns in Adolescent Brain. EMBC (2023)
Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Jingyu Liu, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun, Robyn L. Miller
Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. Brain Connect. 13 (6) (2023)
Armin Iraji, Jiayu Chen, Ashkan Faghiri, Zening Fu, Jingyu Liu, Juan R. Bustillo, Tülay Adali, Mukesh Dhamala, Vince D. Calhoun
Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques. ISBI (2023)
Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data. ISBI (2023)
Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun
Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. BHI (2023)
Zening Fu, Mustafa S. Salman, Jingyu Liu, Vince D. Calhoun
Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children. EMBC (2022)
Ishaan Batta, Anees Abrol, Zening Fu, Adrian Preda, Theo G. M. van Erp, Vince D. Calhoun
Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study. Neuroinformatics 20 (3) (2022)
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, Jessica A. Turner, Theo G. M. van Erp, Jing Sui, Vince D. Calhoun
Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales. Brain Connect. 12 (7) (2022)
Min Zhao, Weizheng Yan, Na Luo, Dongmei Zhi, Zening Fu, Yuhui Du, Shan Yu, Tianzi Jiang, Vince D. Calhoun, Jing Sui
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data. Medical Image Anal. 78 (2022)
Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey Plis
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. CoRR (2022)
Weizheng Yan, Zening Fu, Jing Sui, Vince D. Calhoun
'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies. EMBC (2022)
Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Vince D. Calhoun
Longitudinal Whole-Brain Functional Network Change Patterns Over A Two-Year Period In The ABCD Data. ISBI (2022)
Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis
Self-Supervised Mental Disorder Classifiers via Time Reversal. CoRR (2022)
Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. IJCNN (2022)
Yuda Bi, Anees Abrol, Zening Fu, Jiayu Chen, Jingyu Liu, Vince D. Calhoun
Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period. CoRR (2022)
Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
MultiCrossViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data. CoRR (2022)
Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. MLSP (2022)
Usman Mahmood, Zening Fu, Satrajit S. Ghosh, Vince D. Calhoun, Sergey M. Plis
Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRI. NeuroImage 264 (2022)
Xinhui Li, Eloy Geenjaar, Zening Fu, Sergey M. Plis, Vince D. Calhoun
Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder. EMBC (2022)
Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD Study. EMBC (2022)
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, Jessica A. Turner, Theo G. M. van Erp, Catie Chang, Vincent D. Calhoun
Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping. NeuroImage 251 (2022)
Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun
A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. BIBE (2022)
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
Learning Active Multimodal Subspaces in the Brain. EMBC (2022)
Mustafa S. Salman, Tor D. Wager, Eswar Damaraju, Anees Abrol, Victor M. Vergara, Zening Fu, Vince D. Calhoun
An Approach to Automatically Label and Order Brain Activity/Component Maps. Brain Connect. 12 (1) (2022)
Thomas DeRamus, Armin Iraji, Zening Fu, Rogers F. Silva, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang, Yuhui Du, Jingyu Liu, Vince D. Calhoun
Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. BIBE (2021)
Mustafa S. Salman, Eric Verner, Henry Jeremy Bockholt, Zening Fu, Vince D. Calhoun
Machine Learning Predicts Treatment Response in Bipolar & Major Depression Disorders. BIBE (2021)
Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
Fusing multimodal neuroimaging data with a variational autoencoder. CoRR (2021)
Zening Fu, Armin Iraji, Jessica A. Turner, Jing Sui, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. NeuroImage 224 (2021)
Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Brain dynamics via Cumulative Auto-Regressive Self-Attention. CoRR (2021)
Kaicheng Li, Zening Fu, Xiao Luo, Qingze Zeng, Peiyu Huang, Minming Zhang, Vince D. Calhoun
The Influence of Cerebral Small Vessel Disease on Static and Dynamic Functional Network Connectivity in Subjects Along Alzheimer's Disease Continuum. Brain Connect. 11 (3) (2021)
Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
A deep learning model for data-driven discovery of functional connectivity. CoRR (2021)
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, Robyn L. Miller, Vince D. Calhoun
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain Connect. 11 (10) (2021)
Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Multi network InfoMax: A pre-training method involving graph convolutional networks. CoRR (2021)
Li Zhang, Zening Fu, Wenwen Zhang, Gan Huang, Zhen Liang, Linling Li, Bharat B. Biswal, Vince D. Calhoun, Zhiguo Zhang
Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI. Neurocomputing 443 (2021)
Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
A Deep Learning Model for Data-Driven Discovery of Functional Connectivity. Algorithms 14 (3) (2021)
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
A Multimodal Learning Framework to Study Varying Information Complexity in Structural and Functional Sub-Domains in Schizophrenia. ISBI (2021)
Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. EMBC (2021)
Bhaskar Ray, Kuaikuai Duan, Jiayu Chen, Zening Fu, Pranav Suresh, Sarah Johnson, Vince D. Calhoun, Jingyu Liu
Multimodal Brain Age Prediction with Feature Selection and Comparison. EMBC (2021)
Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey Plis, Vince D. Calhoun
Fusing multimodal neuroimaging data with a variational autoencoder. EMBC (2021)
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations. CoRR (2020)
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
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage 207 (2020)
Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. ISBI (2020)
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, Robyn L. Miller, Vince D. Calhoun
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. EMBC (2020)
Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
Varying Information Complexity in Functional Domain Interactions in Schizophrenia. BIBE (2020)
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. MICCAI (7) (2020)
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, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia. BIBE (2020)
Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Babak Mahmoudi, Robyn L. Miller, Vince D. Calhoun
A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. SSIAI (2020)
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Learnt dynamics generalizes across tasks, datasets, and populations. CoRR (2019)
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
Prediction of Progression to Alzheimer's disease with Deep InfoMax. BHI (2019)
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
Prediction of Progression to Alzheimer's disease with Deep InfoMax. CoRR (2019)
Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B. Biswal, Zhiguo Zhang, Nina de Lacy, Vincent D. Calhoun
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. NeuroImage 190 (2019)
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Sergey M. Plis
Transfer Learning of fMRI Dynamics. CoRR (2019)
Anees Abrol, Zening Fu, Yuhui Du, Vince D. Calhoun
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression. EMBC (2019)
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, Demao Deng, Zhiguo Zhang
A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI. Inf. Sci. 503 (2019)
Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui
Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. ISBI (2019)
Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Godfrey D. Pearlson, Jessica A. Turner, Bharat B. Biswal, Zhiguo Zhang, Vince D. Calhoun
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia. NeuroImage 180 (Part) (2018)
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
Connectome-based individualized prediction of temperament trait scores. NeuroImage 183 (2018)
Yiheng Tu, Zening Fu, Ao Tan, Gan Huang, Li Hu, Yeung Sam Hung, Zhiguo Zhang
A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction. Neurocomputing 273 (2018)
Yuhui Du, Susanna Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage 180 (Part) (2018)
Ao Tan, Yiheng Tu, Zening Fu, Gan Huang, Yeung Sam Hung, Zhiguo Zhang
A least across-segment variance (LASV) method for the correction of EEG-fMRI desynchronization. NER (2017)
Zening Fu, Sheng Han, Ao Tan, Yiheng Tu, Zhiguo Zhang
L0-regularized time-varying sparse inverse covariance estimation for tracking dynamic fMRI brain networks. EMBC (2015)
Yiheng Tu, Ao Tan, Zening Fu, Yeung Sam Hung, Li Hu, Zhiguo Zhang
Supervised nonlinear dimension reduction of functional magnetic resonance imaging data using Sliced Inverse Regression. EMBC (2015)
Ao Tan, Zening Fu, Yiheng Tu, Yeung Sam Hung, Zhiguo Zhang
Joint source separation of simultaneous EEG-fMRI recording in two experimental conditions using common spatial patterns. EMBC (2015)
Zening Fu, Shing-Chow Chan, Xin Di, Bharat B. Biswal, Zhiguo Zhang
Adaptive Covariance Estimation of Non-Stationary Processes and its Application to Infer Dynamic Connectivity From fMRI. IEEE Trans. Biomed. Circuits Syst. 8 (2) (2014)
Zhiguo Zhang, Zening Fu, Shing-Chow Chan, Y. S. Hung, G. Motta, Xin Di, Bharat B. Biswal
Adaptive window selection in estimating dynamic functional connectivity of resting-state fMRI. ICICS (2013)
Zening Fu, Xin Di, Shing-Chow Chan, Yeung Sam Hung, Bharat B. Biswal, Zhiguo Zhang
Time-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI. EMBC (2013)
Zening Fu, Zhiguo Zhang, Shing-Chow Chan
Estimation of time-varying autocorrelation and its application to time-frequency analysis of nonstationary signals. ISCAS (2013)