Zening Fu

According to our database, Zening Fu authored at least 74 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., April, 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, February, 2024

Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.

Zening Fu, Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman, Yuhui Du, Armin Iraji, Sarah Shultz, Jing Sui, Vince D. Calhoun

NeuroImage, 2024

An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease.

Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun

CoRR, 2024

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis.

Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang

CoRR, 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, Vince D. Calhoun

Brain Connect., 2024

Transformed Skin: Changing own skin texture feeling for VR avatar embodiment.

Sohei Wakisaka, Masatoshi Matsubara, Haruka Onoda, Zening Fu, Lucas Ogasawara, Kouta Minamizawa

Proceedings of the SIGGRAPH Asia 2024 Emerging Technologies, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Replication and Refinement of Brain Age Model for Adolescent Development.

Bhaskar Ray, Jiayu Chen, Zening Fu, Pranav Suresh, Bishal Thapaliya, Britny Farahdel, Vince D. Calhoun, Jingyu Liu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Deep Biclustering Framework for Brain Network Analysis.

Md Abdur Rahaman, Zening Fu, Armin Iraji, Vince D. Calhoun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun, Robyn L. Miller

Brain Connect., August, 2023

Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques.

Armin Iraji, Jiayu Chen, Ashkan Faghiri, Zening Fu, Jingyu Liu, Juan R. Bustillo, Tülay Adali, Mukesh Dhamala, Vince D. Calhoun

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Self-Supervised Mental Disorder Classifiers via Time Reversal.

Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis

Proceedings of the International Joint Conference on Neural Networks, 2023

Glacier: Glass-Box Transformer for Interpretable Dynamic Neuroimaging.

Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis

Proceedings of the IEEE International Conference on Acoustics, 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, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2023

Phase and amplitude, two sides of functional connectivity.

Sir-Lord Wiafe, Zening Fu, Vince D. Calhoun, Ashkan Faghiri

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Functional and Structural Longitudinal Change Patterns in Adolescent Brain.

Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

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

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

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, Jessica A. Turner, Theo G. M. van Erp, Catie Chang, Vincent D. Calhoun

NeuroImage, 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

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

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, Jessica A. Turner, Theo G. M. van Erp, Jing Sui, Vince D. Calhoun

Brain Connect., 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, Vince D. Calhoun

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 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

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series.

Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children.

Zening Fu, Mustafa S. Salman, Jingyu Liu, Vince D. Calhoun

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Learning Active Multimodal Subspaces in the Brain.

Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction.

Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

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

Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI.

Li Zhang, Zening Fu, Wenwen Zhang, Gan Huang, Zhen Liang, Linling Li, Bharat B. Biswal, Vince D. Calhoun, Zhiguo Zhang

Neurocomputing, 2021

Multi network InfoMax: A pre-training method involving graph convolutional networks.

Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis

CoRR, 2021

Brain dynamics via Cumulative Auto-Regressive Self-Attention.

Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis

CoRR, 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, Robyn L. Miller, Vince D. Calhoun

Brain Connect., 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

A Deep Learning Model for Data-Driven Discovery of Functional Connectivity.

Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis

Algorithms, 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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multimodal Brain Age Prediction with Feature Selection and Comparison.

Bhaskar Ray, Kuaikuai Duan, Jiayu Chen, Zening Fu, Pranav Suresh, Sarah Johnson, Vince D. Calhoun, Jingyu Liu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Fusing multimodal neuroimaging data with a variational autoencoder.

Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Machine Learning Predicts Treatment Response in Bipolar & Major Depression Disorders.

Mustafa S. Salman, Eric Verner, Henry Jeremy Bockholt, Zening Fu, Vince D. Calhoun

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

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, Yuhui Du, Jingyu Liu, Vince D. Calhoun

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

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

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

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 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, Robyn L. Miller, Vince D. Calhoun

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Varying Information Complexity in Functional Domain Interactions in Schizophrenia.

Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

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, Nina de Lacy, Vincent D. Calhoun

NeuroImage, 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, Demao Deng, Zhiguo Zhang

Inf. Sci., 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

Transfer Learning of fMRI Dynamics.

Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Sergey M. Plis

CoRR, 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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

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

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, Vince D. Calhoun

NeuroImage, 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, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun

NeuroImage, 2018

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

Neurocomputing, 2018

2017

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

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

L0-regularized time-varying sparse inverse covariance estimation for tracking dynamic fMRI brain networks.

Zening Fu, Sheng Han, Ao Tan, Yiheng Tu, Zhiguo Zhang

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

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

IEEE Trans. Biomed. Circuits Syst., 2014

2013

Estimation of time-varying autocorrelation and its application to time-frequency analysis of nonstationary signals.

Zening Fu, Zhiguo Zhang, Shing-Chow Chan

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Adaptive window selection in estimating dynamic functional connectivity of resting-state fMRI.

Zhiguo Zhang, Zening Fu, Shing-Chow Chan, Y. S. Hung, G. Motta, Xin Di, Bharat B. Biswal

Proceedings of the 9th International Conference on Information, 2013