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2020 – today
- 2022
[j19]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): 85-95 (2022)- [j18]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): 617-628 (2022) - [j17]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: 102413 (2022) - [j16]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: 119013 (2022) - [j15]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: 119737 (2022) - [j14]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): 777-791 (2022) - [c31]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: 41-44 - [c30]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: 251-254 - [c29]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: 1477-1480 - [c28]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: 1859-1862 - [c27]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: 3814-3817 - [c26]Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun:
Learning Active Multimodal Subspaces in the Brain. EMBC 2022: 3822-3825 - [c25]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. IJCNN 2022: 1-10 - [c24]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: 1-4 - [c23]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: 1-6 - [i10]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. CoRR abs/2202.02393 (2022) - [i9]Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis:
Self-Supervised Mental Disorder Classifiers via Time Reversal. CoRR abs/2211.16398 (2022) - 2021
- [j13]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
A Deep Learning Model for Data-Driven Discovery of Functional Connectivity. Algorithms 14(3): 75 (2021) - [j12]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): 189-200 (2021) - [j11]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): 838-849 (2021) - [j10]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: 147-161 (2021) - [j9]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: 117385 (2021) - [c22]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: 1-6 - [c21]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: 1-6 - [c20]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: 3267-3272 - [c19]Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun:
Fusing multimodal neuroimaging data with a variational autoencoder. EMBC 2021: 3630-3633 - [c18]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: 3858-3864 - [c17]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: 994-998 - [i8]Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun:
Fusing multimodal neuroimaging data with a variational autoencoder. CoRR abs/2105.01128 (2021) - [i7]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Brain dynamics via Cumulative Auto-Regressive Self-Attention. CoRR abs/2111.01271 (2021) - [i6]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Multi network InfoMax: A pre-training method involving graph convolutional networks. CoRR abs/2111.01276 (2021) - [i5]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
A deep learning model for data-driven discovery of functional connectivity. CoRR abs/2112.04013 (2021) - 2020
- [j8]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) - [c16]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: 417-424 - [c15]Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun:
Varying Information Complexity in Functional Domain Interactions in Schizophrenia. BIBE 2020: 1042-1047 - [c14]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: 1493-1496 - [c13]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: 1698-1701 - [c12]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: 407-417 - [c11]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: 112-115 - [i4]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 abs/2007.16041 (2020)
2010 – 2019
- 2019
- [j7]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: 670-687 (2019) - [j6]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: 191-204 (2019) - [c10]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: 1-5 - [c9]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: 4409-4413 - [c8]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: 409-413 - [i3]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 abs/1904.10931 (2019) - [i2]Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Sergey M. Plis:
Transfer Learning of fMRI Dynamics. CoRR abs/1911.06813 (2019) - [i1]Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Learnt dynamics generalizes across tasks, datasets, and populations. CoRR abs/1912.03130 (2019) - 2018
- [j5]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: 373-384 (2018) - [j4]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): 619-631 (2018) - [j3]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): 632-645 (2018) - [j2]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: 366-374 (2018) - 2017
- [c7]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: 5-8 - 2015
- [c6]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: 1496-1499 - [c5]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: 2633-2636 - [c4]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: 2641-2644 - 2014
- [j1]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): 228-239 (2014) - 2013
- [c3]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: 1-4 - [c2]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: 2944-2947 - [c1]Zening Fu, Zhiguo Zhang, Shing-Chow Chan:
Estimation of time-varying autocorrelation and its application to time-frequency analysis of nonstationary signals. ISCAS 2013: 1524-1527
Coauthor Index
Vince D. Calhoun
aka: Vincent D. Calhoun
aka: Vincent D. Calhoun
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last updated on 2023-03-31 00:30 CEST by the dblp team
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