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Martin J. McKeown
- > Home > Persons > Martin J. McKeown
Publications
- 2023
- [j50]Yu Li, Aiping Liu, Liangyong Li, Yunhu Wu, Martin J. McKeown, Xun Chen, Feng Wu:
Connectivity-Based Brain Parcellation for Parkinson's Disease. IEEE Trans. Biomed. Eng. 70(5): 1539-1552 (2023) - 2022
- [j47]Yu Li, Aiping Liu, Xueyang Fu, Martin J. McKeown, Z. Jane Wang, Xun Chen:
Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex. Comput. Biol. Medicine 150: 106078 (2022) - [j46]Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang:
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey. IEEE Signal Process. Mag. 39(2): 117-134 (2022) - [j45]Qinrui Ling, Aiping Liu, Yu Li, Xueyang Fu, Xun Chen, Martin J. McKeown, Feng Wu:
A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation. IEEE J. Biomed. Health Informatics 26(11): 5641-5652 (2022) - 2021
- [j42]Aiping Liu, Soojin Lee, Xun Chen, Martin J. McKeown, Z. Jane Wang:
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation. IEEE Signal Process. Mag. 38(4): 54-64 (2021) - [j41]Yu Li, Aiping Liu, Taomian Mi, Runyu Yang, Piu Chan, Martin J. McKeown, Xun Chen, Feng Wu:
Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease. IEEE J. Biomed. Health Informatics 25(9): 3564-3575 (2021) - [i1]Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang:
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey. CoRR abs/2112.06654 (2021) - 2020
- [j40]Xun Chen, Qingze Liu, Wei Tao, Luchang Li, Soojin Lee, Aiping Liu, Qiang Chen, Juan Cheng, Martin J. McKeown, Z. Jane Wang:
ReMAE: User-Friendly Toolbox for Removing Muscle Artifacts From EEG. IEEE Trans. Instrum. Meas. 69(5): 2105-2119 (2020) - [j39]Jiayue Cai, Yuheng Wang, Aiping Liu, Martin J. McKeown, Z. Jane Wang:
Novel Regional Activity Representation With Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation. IEEE Trans. Medical Imaging 39(7): 2363-2373 (2020) - 2019
- [j35]Jiayue Cai, Aiping Liu, Taomian Mi, Saurabh Garg, Wade Trappe, Martin J. McKeown, Z. Jane Wang:
Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value. IEEE J. Biomed. Health Informatics 23(4): 1720-1729 (2019) - 2018
- [j34]Xun Chen, Xueyuan Xu, Aiping Liu, Martin J. McKeown, Z. Jane Wang:
The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings. IEEE Trans. Instrum. Meas. 67(2): 359-370 (2018) - 2017
- [j32]Xun Chen, Aiping Liu, Qiang Chen, Yu Liu, Liang Zou, Martin J. McKeown:
Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics. Comput. Biol. Medicine 88: 1-10 (2017) - 2016
- [j31]Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang:
Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model. Biomed. Signal Process. Control. 27: 174-183 (2016) - [j29]Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang:
A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks. IEEE J. Sel. Top. Signal Process. 10(7): 1172-1181 (2016) - [c44]Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang:
Joint time invariant and time dependent brain connectivity network estimation. CCECE 2016: 1-4 - 2015
- [j27]Aiping Liu, Xun Chen, Martin J. McKeown, Z. Jane Wang:
A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation. IEEE Trans. Biomed. Eng. 62(2): 501-510 (2015) - [c38]Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang:
Connectivity-based parcellation of putamen using resting state fMRI data. ISBI 2015: 34-37 - 2014
- [j26]Aiping Liu, Xiaohui Chen, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell, Martin J. McKeown:
A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia. IEEE Trans. Biomed. Eng. 61(3): 946-956 (2014) - [j25]Xun Chen, Aiping Liu, Martin J. McKeown, Howard Poizner, Z. Jane Wang:
An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis. IEEE Trans. Biomed. Eng. 61(7): 2187-2198 (2014) - [c32]Aiping Liu, Xun Chen, Z. Jane Wang, Martin J. McKeown:
Time varying brain connectivity modeling using FMRI signals. ICASSP 2014: 2089-2093 - 2012
- [j20]Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown:
A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference. Comput. Math. Methods Medicine 2012: 967380:1-967380:14 (2012) - [c30]Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown:
An FDR-controlled, exploratory group modeling for assessing brain connectivity. ISBI 2012: 558-561
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