Zening Fu - RankMe

90 papers B 2C 7Misc 1Journal 39Unranked 41

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Functional Network Connectivity in White Matter: A Group Informed ICA-Based Network Approach. ISBI Vaibhavi S. Itkyal, Armin Iraji, Zening Fu, Vince D. Calhoun
2025	—	`conf`	GM-LDM: Latent Diffusion Guided by Functional Connectivity for Gray-Matter Generation and Biomarker Identification. PRIME@MICCAI Xu Hu, Jingling Yang, Wenjun Xiao, Sihan Jia, Yutong Gao, Zening Fu, Vince D. Calhoun, Yuda Bi
2025	—	`conf`	Longitudinal Patterns of Functional Network Changes Over Four-Year Period Associated with Sex in the Developing Brain. ISBI Rekha Saha, Debbrata K. Saha, Zening Fu, Tülay Adali, Vince D. Calhoun
2025	J	`jnl`	MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model. CoRR Yuda Bi, Sihan Jia, Yutong Gao, Anees Abrol, Zening Fu, Vince D. Calhoun
2025	—	`conf`	Spontaneous Brain Dynamics Associated with Acceleration of Long-Term Functional Connectome in Postnatal Development. ISBI Liang Ma, Sarah Shultz, Zening Fu, Masoud Seraji, Armin Iraji, Vince D. Calhoun
2024	—	`conf`	A Deep Biclustering Framework for Brain Network Analysis. CVPR Workshops Md Abdur Rahaman, Zening Fu, Armin Iraji, Vince D. Calhoun
2024	J	`jnl`	A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. Brain Connect. Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Jingyu Liu, Vince D. Calhoun
2024	J	`jnl`	A simple but tough-to-beat baseline for fMRI time-series classification. NeuroImage Pavel Popov, Usman Mahmood, Zening Fu, Carl Yang, Vince D. Calhoun, Sergey M. Plis
2024	J	`jnl`	An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. CoRR Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang
2024	J	`jnl`	An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. CoRR Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
2024	—	`conf`	Capturing Stretching and Shrinking of Inter-Network Temporal Coupling in FMRI Via WARP Elasticity. ISBI Sir-Lord Wiafe, Ashkan Faghiri, Zening Fu, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Identifying Canonical multi-scale Intrinsic Connectivity Networks in Infant resting-state fMRI and their Association with Age. EMBC Prerana Bajracharya, Ashkan Faghiri, Zening Fu, Vince D. Calhoun, Sarah Shultz, Armin Iraji
2024	J	`jnl`	Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment. Sensors Sahithi Kolla, Haleh Falakshahi, Anees Abrol, Zening Fu, Vince D. Calhoun
2024	J	`jnl`	Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks. IEEE Trans. Biomed. Eng. Weizheng Yan, Zening Fu, Rongtao Jiang, Jing Sui, Vince D. Calhoun
2024	—	`conf`	Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment. ISBI Bradley T. Baker, Mustafa S. Salman, Zening Fu, Armin Iraji, Elizabeth A. Osuch, Henry Jeremy Bockholt, Vince D. Calhoun
2024	J	`jnl`	Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment. CoRR Bradley T. Baker, Mustafa S. Salman, Zening Fu, Armin Iraji, Elizabeth A. Osuch, Henry Jeremy Bockholt, Vince D. Calhoun
2024	—	`conf`	NeuroMark PET: Replicable positron emission tomography ICA templates for florbetapir and florbetaben radioligands. EMBC Cyrus Eierud, Zening Fu, Helen Petropoulos, Anastasia Bohsali, Armin Iraji, Melanie Ganz, Cyril R. Pernet, Vince D. Calhoun
2024	—	`conf`	Replication and Refinement of Brain Age Model for Adolescent Development. ISBI Bhaskar Ray, Jiayu Chen, Zening Fu, Pranav Suresh, Bishal Thapaliya, Britny Farahdel, Vince D. Calhoun, Jingyu Liu
2024	J	`jnl`	Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. NeuroImage Zening Fu, Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman, Yuhui Du, Armin Iraji, Sarah Shultz, Jing Sui, Vince D. Calhoun
2024	—	`conf`	SpaDE: Semantic Locality Preserving Biclustering for Neuroimaging Data. EMBC Md Abdur Rahaman, Zening Fu, Armin Iraji, Vince D. Calhoun
2024	—	`conf`	Transformed Skin: Changing own skin texture feeling for VR avatar embodiment. SIGGRAPH Asia Emerging Technologies Sohei Wakisaka, Masatoshi Matsubara, Haruka Onoda, Zening Fu, Lucas Ogasawara, Kouta Minamizawa
2023	—	`conf`	Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques. ISBI Armin Iraji, Jiayu Chen, Ashkan Faghiri, Zening Fu, Jingyu Liu, Juan R. Bustillo, Tülay Adali, Mukesh Dhamala, Vince D. Calhoun
2023	—	`conf`	Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. ICASSP Workshops Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun
2023	J	`jnl`	Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. Brain Connect. Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Jingyu Liu, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun, Robyn L. Miller
2023	—	`conf`	Functional and Structural Longitudinal Change Patterns in Adolescent Brain. EMBC Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun
2023	Misc	`conf`	Glacier: Glass-Box Transformer for Interpretable Dynamic Neuroimaging. ICASSP Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2023	—	`conf`	MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data. ISBI Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
2023	—	`conf`	Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. BHI Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun
2023	—	`conf`	Phase and amplitude, two sides of functional connectivity. EMBC Sir-Lord Wiafe, Zening Fu, Vince D. Calhoun, Ashkan Faghiri
2023	B	`conf`	Self-Supervised Mental Disorder Classifiers via Time Reversal. IJCNN Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis
2022	—	`conf`	'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies. EMBC Weizheng Yan, Zening Fu, Jing Sui, Vince D. Calhoun
2022	C	`conf`	A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. BIBE Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun
2022	J	`jnl`	An Approach to Automatically Label and Order Brain Activity/Component Maps. Brain Connect. Mustafa S. Salman, Tor D. Wager, Eswar Damaraju, Anees Abrol, Victor M. Vergara, Zening Fu, Vince D. Calhoun
2022	J	`jnl`	An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data. Medical Image Anal. Min Zhao, Weizheng Yan, Na Luo, Dongmei Zhi, Zening Fu, Yuhui Du, Shan Yu, Tianzi Jiang, Vince D. Calhoun, Jing Sui
2022	J	`jnl`	Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study. Neuroinformatics Ishaan Batta, Anees Abrol, Zening Fu, Adrian Preda, Theo G. M. van Erp, Vince D. Calhoun
2022	B	`conf`	Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. IJCNN Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2022	J	`jnl`	Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. CoRR Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2022	—	`conf`	Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD Study. EMBC Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun
2022	—	`conf`	Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children. EMBC Zening Fu, Mustafa S. Salman, Jingyu Liu, Vince D. Calhoun
2022	—	`conf`	Learning Active Multimodal Subspaces in the Brain. EMBC Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
2022	—	`conf`	Longitudinal Whole-Brain Functional Network Change Patterns Over A Two-Year Period In The ABCD Data. ISBI Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Vince D. Calhoun
2022	—	`conf`	Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder. EMBC Xinhui Li, Eloy Geenjaar, Zening Fu, Sergey M. Plis, Vince D. Calhoun
2022	J	`jnl`	Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping. NeuroImage 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
2022	J	`jnl`	Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales. Brain Connect. 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
2022	J	`jnl`	Self-Supervised Mental Disorder Classifiers via Time Reversal. CoRR Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis
2022	J	`jnl`	Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRI. NeuroImage Usman Mahmood, Zening Fu, Satrajit S. Ghosh, Vince D. Calhoun, Sergey M. Plis
2022	—	`conf`	Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. MLSP Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun
2021	J	`jnl`	A Deep Learning Model for Data-Driven Discovery of Functional Connectivity. Algorithms Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2021	—	`conf`	A Multimodal Learning Framework to Study Varying Information Complexity in Structural and Functional Sub-Domains in Schizophrenia. ISBI Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
2021	J	`jnl`	A deep learning model for data-driven discovery of functional connectivity. CoRR Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2021	J	`jnl`	Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain Connect. 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
2021	J	`jnl`	Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI. Neurocomputing Li Zhang, Zening Fu, Wenwen Zhang, Gan Huang, Zhen Liang, Linling Li, Bharat B. Biswal, Vince D. Calhoun, Zhiguo Zhang
2021	J	`jnl`	Brain dynamics via Cumulative Auto-Regressive Self-Attention. CoRR Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2021	J	`jnl`	Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. NeuroImage Zening Fu, Armin Iraji, Jessica A. Turner, Jing Sui, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
2021	—	`conf`	Fusing multimodal neuroimaging data with a variational autoencoder. EMBC Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
2021	J	`jnl`	Fusing multimodal neuroimaging data with a variational autoencoder. CoRR Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
2021	C	`conf`	Machine Learning Predicts Treatment Response in Bipolar & Major Depression Disorders. BIBE Mustafa S. Salman, Eric Verner, Henry Jeremy Bockholt, Zening Fu, Vince D. Calhoun
2021	J	`jnl`	Multi network InfoMax: A pre-training method involving graph convolutional networks. CoRR Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2021	—	`conf`	Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. EMBC Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun
2021	—	`conf`	Multimodal Brain Age Prediction with Feature Selection and Comparison. EMBC Bhaskar Ray, Kuaikuai Duan, Jiayu Chen, Zening Fu, Pranav Suresh, Sarah Johnson, Vince D. Calhoun, Jingyu Liu
2021	C	`conf`	Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. BIBE 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
2021	J	`jnl`	The Influence of Cerebral Small Vessel Disease on Static and Dynamic Functional Network Connectivity in Subjects Along Alzheimer's Disease Continuum. Brain Connect. Kaicheng Li, Zening Fu, Xiao Luo, Qingze Zeng, Peiyu Huang, Minming Zhang, Vince D. Calhoun
2020	—	`conf`	A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. SSIAI Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Babak Mahmoudi, Robyn L. Miller, Vince D. Calhoun
2020	—	`conf`	Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. EMBC 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
2020	—	`conf`	Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. ISBI Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun
2020	J	`jnl`	Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage 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
2020	C	`conf`	Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia. BIBE 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
2020	C	`conf`	Varying Information Complexity in Functional Domain Interactions in Schizophrenia. BIBE Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun
2020	—	`conf`	Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. MICCAI (7) Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2020	J	`jnl`	Whole MILC: generalizing learned dynamics across tasks, datasets, and populations. CoRR Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2019	J	`jnl`	A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI. Inf. Sci. 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
2019	J	`jnl`	Learnt dynamics generalizes across tasks, datasets, and populations. CoRR Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2019	—	`conf`	Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression. EMBC Anees Abrol, Zening Fu, Yuhui Du, Vince D. Calhoun
2019	—	`conf`	Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. ISBI Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui
2019	—	`conf`	Prediction of Progression to Alzheimer's disease with Deep InfoMax. BHI Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
2019	J	`jnl`	Prediction of Progression to Alzheimer's disease with Deep InfoMax. CoRR Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
2019	J	`jnl`	Transfer Learning of fMRI Dynamics. CoRR Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Sergey M. Plis
2019	J	`jnl`	Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. NeuroImage Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B. Biswal, Zhiguo Zhang, Nina de Lacy, Vincent D. Calhoun
2018	J	`jnl`	A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction. Neurocomputing Yiheng Tu, Zening Fu, Ao Tan, Gan Huang, Li Hu, Yeung Sam Hung, Zhiguo Zhang
2018	J	`jnl`	Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia. NeuroImage Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Godfrey D. Pearlson, Jessica A. Turner, Bharat B. Biswal, Zhiguo Zhang, Vince D. Calhoun
2018	J	`jnl`	Connectome-based individualized prediction of temperament trait scores. NeuroImage 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
2018	J	`jnl`	Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage 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
2017	—	`conf`	A least across-segment variance (LASV) method for the correction of EEG-fMRI desynchronization. NER Ao Tan, Yiheng Tu, Zening Fu, Gan Huang, Yeung Sam Hung, Zhiguo Zhang
2015	—	`conf`	Joint source separation of simultaneous EEG-fMRI recording in two experimental conditions using common spatial patterns. EMBC Ao Tan, Zening Fu, Yiheng Tu, Yeung Sam Hung, Zhiguo Zhang
2015	—	`conf`	L0-regularized time-varying sparse inverse covariance estimation for tracking dynamic fMRI brain networks. EMBC Zening Fu, Sheng Han, Ao Tan, Yiheng Tu, Zhiguo Zhang
2015	—	`conf`	Supervised nonlinear dimension reduction of functional magnetic resonance imaging data using Sliced Inverse Regression. EMBC Yiheng Tu, Ao Tan, Zening Fu, Yeung Sam Hung, Li Hu, Zhiguo Zhang
2014	J	`jnl`	Adaptive Covariance Estimation of Non-Stationary Processes and its Application to Infer Dynamic Connectivity From fMRI. IEEE Trans. Biomed. Circuits Syst. Zening Fu, Shing-Chow Chan, Xin Di, Bharat B. Biswal, Zhiguo Zhang
2013	C	`conf`	Adaptive window selection in estimating dynamic functional connectivity of resting-state fMRI. ICICS Zhiguo Zhang, Zening Fu, Shing-Chow Chan, Y. S. Hung, G. Motta, Xin Di, Bharat B. Biswal
2013	C	`conf`	Estimation of time-varying autocorrelation and its application to time-frequency analysis of nonstationary signals. ISCAS Zening Fu, Zhiguo Zhang, Shing-Chow Chan
2013	—	`conf`	Time-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI. EMBC Zening Fu, Xin Di, Shing-Chow Chan, Yeung Sam Hung, Bharat B. Biswal, Zhiguo Zhang