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Martin J. McKeown
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2020 – today
- 2024
- [j55]Minyang Jiang
, Yongwei Wang
, Martin J. McKeown
, Zhen Jane Wang:
Occlusion-robust FAU recognition by mining latent space of masked autoencoders. Neurocomputing 569: 127107 (2024) - [j54]Xinhui Yu
, Dan Wang
, Martin J. McKeown
, Z. Jane Wang
:
Contrastive-Enhanced Domain Generalization With Federated Learning. IEEE Trans. Artif. Intell. 5(4): 1525-1532 (2024) - [i3]Luke Bidulka, Mohsen Gholami, Jiannan Zheng, Martin J. McKeown, Z. Jane Wang:
ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation. CoRR abs/2407.14605 (2024) - 2023
- [j53]Mohsen Gholami, Rabab Ward
, Ravneet Mahal, Maryam S. Mirian
, Kevin Yen
, Kye Won Park
, Martin J. McKeown
, Z. Jane Wang
:
Automatic labeling of Parkinson's Disease gait videos with weak supervision. Medical Image Anal. 89: 102871 (2023) - [j52]Tianze Yu, Luke Bidulka
, Martin J. McKeown
, Z. Jane Wang:
PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation. Sensors 23(3): 1555 (2023) - [j51]Tianze Yu, Kye Won Park
, Martin J. McKeown
, Zhen Jane Wang:
Clinically Informed Automated Assessment of Finger Tapping Videos in Parkinson's Disease. Sensors 23(22): 9149 (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
- [j49]Emad Arasteh, Ailar Mahdizadeh, Maryam S. Mirian, Soojin Lee, Martin J. McKeown
:
Deep Transfer Learning for Parkinson's Disease Monitoring by Image-Based Representation of Resting-State EEG Using Directional Connectivity. Algorithms 15(1): 5 (2022) - [j48]Alireza Kazemi, Martin J. McKeown
, Maryam S. Mirian:
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder. Biomed. Signal Process. Control. 75: 103539 (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) - [i2]Minyang Jiang, Yongwei Wang, Martin J. McKeown, Z. Jane Wang:
Occlusion-Robust FAU Recognition by Mining Latent Space of Masked Autoencoders. CoRR abs/2212.04029 (2022) - 2021
- [j44]Ramy Hussein
, Soojin Lee
, Rabab Ward
, Martin J. McKeown
:
Semi-dilated convolutional neural networks for epileptic seizure prediction. Neural Networks 139: 212-222 (2021) - [j43]Amelia A. Casciola
, Sebastiano K. Carlucci, Brianne A. Kent
, Amanda M. Punch, Michael A. Muszynski, Daniel Zhou, Alireza Kazemi
, Maryam S. Mirian, Jason Valerio, Martin J. McKeown
, Haakon B. Nygaard:
A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data. Sensors 21(10): 3316 (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) - [c59]Nandinee Fariah Haq, Christina Zhang, Linlin Gao, Tianze Yu, Martin J. McKeown
:
Connectivity Based Functional Segmentation Of The Brainstem. ICIP 2021: 51-55 - [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) - [c58]Ramy Hussein, Soojin Lee, Rabab Ward, Martin J. McKeown
:
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture. ICPR 2020: 5436-5443 - [c57]Zhiwei Zeng, Hongchao Jiang, Yanci Zhang, Zhiqi Shen, Jun Ji, Martin J. McKeown, Jing Jih Chin, Cyril Leung, Chunyan Miao:
A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's disease (DPD) Co-Morbidity. IJCAI 2020: 5297-5299 - [c56]Nandinee Fariah Haq, Jiayue Cai, Tianze Yu, Martin J. McKeown, Z. Jane Wang:
Parkinson's Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks. MICCAI (7) 2020: 33-43
2010 – 2019
- 2019
- [j38]Nandinee Fariah Haq, Sun Nee Tan, Martin J. McKeown
, Z. Jane Wang:
Parcellation of functional sub-regions from fMRI: A graph clustering based approach. Biomed. Signal Process. Control. 49: 181-191 (2019) - [j37]Yi Liu
, Bu-Sung Lee, Deepu Rajan, Andrzej Sluzek
, Martin J. McKeown
:
CamType: assistive text entry using gaze with an off-the-shelf webcam. Mach. Vis. Appl. 30(3): 407-421 (2019) - [j36]Soojin Lee
, Martin J. McKeown
, Z. Jane Wang
, Xun Chen
:
Removal of High-Voltage Brain Stimulation Artifacts From Simultaneous EEG Recordings. IEEE Trans. Biomed. Eng. 66(1): 50-60 (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) - [c55]Tobias R. Baumeister, Z. Jane Wang, Martin J. McKeown
:
A Multivariate Approach for Denoising of T2 Relaxation Decay Curves in Myelin Water Fraction Imaging. GlobalSIP 2019: 1-5 - [c54]Soojin Lee, Ramy Hussein, Martin J. McKeown:
A Deep Convolutional-Recurrent Neural Network Architecture for Parkinson's Disease EEG Classification. GlobalSIP 2019: 1-4 - [c53]Saurabh Garg, Martin J. McKeown
:
Functional Data and Long Short-Term Memory Networks for Diagnosis of Parkinson's Disease. MLMI@MICCAI 2019: 655-663 - 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) - [c52]Siyuan Liu, Chunyan Miao
, Martin J. McKeown
, Jun Ji, Zhiqi Shen, Cyril Leung:
Pumpkin Garden: A Mobile Game Platform for Monitoring Parkinson's Disease Symptoms. HCI (27) 2018: 546-560 - [c51]John W. Kelly, Steve Leigh, Carol Giuliani, Rachael Brady, Martin J. McKeown
, Edward Grant:
Movement Based Classification of People with Stroke Through Automated Analysis of Three-Dimensional Motion Data. IAS 2018: 520-533 - 2017
- [j33]Liang Zou
, Jiannan Zheng, Chunyan Miao
, Martin J. McKeown, Z. Jane Wang:
3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI. IEEE Access 5: 23626-23636 (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) - [c50]Soojin Lee, Diana Kim
, Martin J. McKeown:
Galvanic Vestibular Stimulation (GVS) effects on impaired interhemispheric connectivity in Parkinson's Disease. EMBC 2017: 2109-2113 - [c49]Jiayue Cai, Z. Jane Wang, Soojin Lee, Martin J. McKeown:
Assessing functional connectivity of brainstem nuclei in fMRI data. GlobalSIP 2017: 176-180 - [c48]Nandinee Fariah Haq, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang:
Connectivity-based parcellation of functional sub-regions from brain fMRI signals. GlobalSIP 2017: 933-937 - [c47]Liang Zou
, Jiannan Zheng, Martin J. McKeown:
Deep learning based automatic diagnoses of attention deficit hyperactive disorder. GlobalSIP 2017: 962-966 - [c46]Yi Liu, Bu-Sung Lee, Martin J. McKeown:
A new reconstruction method in gaze estimation with natural head movement. MVA 2017: 219-222 - 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) - [j30]Yi Liu, Bu-Sung Lee, Martin J. McKeown
:
Robust Eye-Based Dwell-Free Typing. Int. J. Hum. Comput. Interact. 32(9): 682-694 (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) - [j28]Xun Chen, Z. Jane Wang, Martin J. McKeown
:
Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods. IEEE Signal Process. Mag. 33(3): 86-107 (2016) - [c45]Jiayue Cai, Z. Jane Wang, Silke Appel-Cresswell
, Martin J. McKeown
:
Feature selection to simplify BDI for efficient depression identification. CCECE 2016: 1-4 - [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 - [c43]Adrian Wong, Martin J. McKeown
, Mehdi Moradi, Z. Jane Wang:
False discovery rate controller for functional brain parcellation. CCECE 2016: 1-4 - [c42]Yi Liu, Bu-Sung Lee, Andrzej Sluzek
, Deepu Rajan, Martin J. McKeown
:
Feasibility Analysis of Eye Typing with a Standard Webcam. ECCV Workshops (2) 2016: 254-268 - [c41]Ava Sheikhi Shoshtari, Sue-Jin Lin, Martin J. McKeown
, Z. Jane Wang:
A Multimodal data fusion approach efficiently predicts disease duration in multiple sclerosis. IJCNN 2016: 4518-4524 - 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) - [c40]Carlos Gonzalez, Daniel Svenkeson, Diana Kim
, Martin J. McKeown
, Meeko Oishi
:
Detection of manual tracking submovements in Parkinson's disease through hybrid optimization. ADHS 2015: 291-297 - [c39]Chonho Lee, Jinyao Chin, Liu Yi, Bu-Sung Lee, Martin J. McKeown
:
Feasibility analysis and adaptive thresholding for mobile applications controlled by EEG signals. EUSIPCO 2015: 2416-2420 - [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 - [c37]Yuemeng Liang, Cyril Leung, Chunyan Miao
, Qiong Wu, Martin J. McKeown:
Automatic Sleep Arousal Detection Based on C-ELM. WI-IAT (2) 2015: 376-382 - 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) - [j24]Xun Chen, Z. Jane Wang, Martin J. McKeown
:
A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson's Disease. IEEE J. Biomed. Health Informatics 18(4): 1232-1241 (2014) - [c36]Yundong Cai, Zhiqi Shen, Siyuan Liu, Han Yu, Xiaogang Han, Jun Ji, Martin J. McKeown, Cyril Leung, Chunyan Miao:
An agent-based game for the predictive diagnosis of parkinson's disease. AAMAS 2014: 1663-1664 - [c35]Liang Zou
, Xun Chen, Amir Servati, Peyman Servati
, Martin J. McKeown
:
A heart beat rate detection framework using multiple nanofiber sensor signals. ChinaSIP 2014: 242-246 - [c34]Siyuan Liu, Zhiqi Shen, Martin J. McKeown
, Cyril Leung, Chunyan Miao
:
A fuzzy logic based Parkinson's Disease risk predictor. FUZZ-IEEE 2014: 1624-1631 - [c33]Yi Liu, Chonho Lee, Bu-Sung Lee
, James K. R. Stevenson, Martin J. McKeown
:
Analysis of visually guided tracking performance in Parkinson's disease. Healthcom 2014: 164-169 - [c32]Aiping Liu, Xun Chen, Z. Jane Wang, Martin J. McKeown
:
Time varying brain connectivity modeling using FMRI signals. ICASSP 2014: 2089-2093 - 2013
- [j23]Marjorie E. Gonzalez, Katherine Dinelle, Nasim Vafai, Nicole Heffernan, Jess McKenzie, Silke Appel-Cresswell
, Martin J. McKeown
, A. Jon Stoessl
, Vesna Sossi:
Novel spatial analysis method for PET images using 3D moment invariants: Applications to Parkinson's disease. NeuroImage 68: 11-21 (2013) - [j22]Xun Chen, Chen He, Z. Jane Wang, Martin J. McKeown
:
An IC-PLS Framework for Group Corticomuscular Coupling Analysis. IEEE Trans. Biomed. Eng. 60(7): 2022-2033 (2013) - [j21]Tülay Adali, Z. Jane Wang, Vince D. Calhoun
, Tom Eichele, Martin J. McKeown
, Dimitri Van De Ville
:
Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications. IEEE Trans. Multim. 15(5): 973-974 (2013) - 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) - [j19]Joyce Chiang, Z. Jane Wang, Martin J. McKeown
:
A multiblock PLS model of cortico-cortical and corticomuscular interactions in Parkinson's disease. NeuroImage 63(3): 1498-1509 (2012) - [j18]Bernard Ng, Martin J. McKeown
, Rafeef Abugharbieh:
Group Replicator Dynamics: A Novel Group-Wise Evolutionary Approach for Sparse Brain Network Detection. IEEE Trans. Medical Imaging 31(3): 576-585 (2012) - [j17]Joyce Chiang, Z. Jane Wang, Martin J. McKeown
:
A Generalized Multivariate Autoregressive (GmAR)-Based Approach for EEG Source Connectivity Analysis. IEEE Trans. Signal Process. 60(1): 453-465 (2012) - [j16]Xiaohui Chen, Z. Jane Wang, Martin J. McKeown
:
Shrinkage-to-Tapering Estimation of Large Covariance Matrices. IEEE Trans. Signal Process. 60(11): 5640-5656 (2012) - [c31]Xiaohui Chen, Z. Jane Wang, Martin J. McKeown
:
Large covariance matrix estimation: Bridging shrinkage and tapering approaches. ICASSP 2012: 2013-2016 - [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 - [c29]Xun Chen, Z. Jane Wang, Martin J. McKeown
:
A tridirectional method for corticomuscular coupling analysis in Parkinson's disease. MMSP 2012: 309-312 - 2011
- [j15]Giorgia Tropini, Joyce Chiang, Z. Jane Wang, Edna Ty, Martin J. McKeown
:
Altered directional connectivity in Parkinson's disease during performance of a visually guided task. NeuroImage 56(4): 2144-2156 (2011) - [j14]Xiaohui Chen, Z. Jane Wang, Martin J. McKeown
:
A Bayesian Lasso via reversible-jump MCMC. Signal Process. 91(8): 1920-1932 (2011) - [c28]Jingyun Chen
, Ali R. Khan
, Martin J. McKeown
, Mirza Faisal Beg
:
Momentum-based morphometric analysis with application to Parkinson's disease. Medical Imaging: Image-Guided Procedures 2011: 79640S - 2010
- [j13]Xiaohui Chen, Z. Jane Wang, Martin J. McKeown
:
Asymptotic analysis of robust LASSOs in the presence of noise with large variance. IEEE Trans. Inf. Theory 56(10): 5131-5149 (2010) - [c27]Meeko M. K. Oishi
, Ahmad Ashoori, Martin J. McKeown
:
Mode Detection in switched pursuit tracking tasks: Hybrid estimation to measure performance in Parkinson's disease. CDC 2010: 2124-2130 - [c26]Xiaohui Chen, Z. Jane Wang, Martin J. McKeown
:
Asymptotic analysis of the Huberized LASSO estimator. ICASSP 2010: 1898-1901 - [c25]Xiaohui Chen, Z. Jane Wang, Martin J. McKeown
:
FMRI group studies of brain connectivity via a group robust Lasso. ICIP 2010: 589-592
2000 – 2009
- 2009
- [j12]Bernard Ng, Rafeef Abugharbieh, Xuemei Huang, Martin J. McKeown
:
Spatial Characterization of fMRI Activation Maps Using Invariant 3-D Moment Descriptors. IEEE Trans. Medical Imaging 28(2): 261-268 (2009) - [c24]Joyce Chiang, Z. Jane Wang, Martin J. McKeown:
Sparse multivariate autoregressive (mAR)-based partial directed coherence (PDC) for electroencephalogram (EEG) analysis. ICASSP 2009: 457-460 - [c23]Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
:
Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD). IPMI 2009: 76-87 - [c22]Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
:
Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis. ISBI 2009: 650-653 - [c21]Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
:
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA). MICCAI (1) 2009: 490-497 - [c20]Jingyun Chen
, Samantha J. Palmer, Ali R. Khan
, Martin J. McKeown
, Mirza Faisal Beg
:
Freesurfer-initialized large deformation diffeomorphic metric mapping with application to Parkinson's disease. Medical Imaging: Image Processing 2009: 725931 - 2008
- [j11]Tülay Adali, Z. Jane Wang, Martin J. McKeown
, Philippe Ciuciu, Lars Kai Hansen
, Andrzej Cichocki
, Vincent D. Calhoun
:
Introduction to the Issue on fMRI Analysis for Human Brain Mapping. IEEE J. Sel. Top. Signal Process. 2(6): 813-816 (2008) - [j10]Ashish Uthama, Rafeef Abugharbieh, Samantha J. Palmer, Anthony Traboulsee
, Martin J. McKeown
:
SPHARM-Based Spatial fMRI Characterization With Intersubject Anatomical Variability Reduction. IEEE J. Sel. Top. Signal Process. 2(6): 907-918 (2008) - [j9]Zheng Ma, Z. Jane Wang, Martin J. McKeown
:
Probabilistic Boolean Network Analysis of Brain Connectivity in Parkinson's Disease. IEEE J. Sel. Top. Signal Process. 2(6): 975-985 (2008) - [j8]Junning Li, Z. Jane Wang, Samantha J. Palmer, Martin J. McKeown
:
Dynamic Bayesian network modeling of fMRI: A comparison of group-analysis methods. NeuroImage 41(2): 398-407 (2008) - [j7]Joyce Chiang, Z. Jane Wang, Martin J. McKeown
:
A Windowed Eigenspectrum Method for Multivariate sEMG Classification During Reaching Movements. IEEE Signal Process. Lett. 15: 293-296 (2008) - [j6]Junning Li, Z. Jane Wang, Janice J. Eng
, Martin J. McKeown
:
Bayesian Network Modeling for Discovering "Dependent Synergies" Among Muscles in Reaching Movements. IEEE Trans. Biomed. Eng. 55(1): 298-310 (2008) - [j5]Joyce Chiang, Z. Jane Wang, Martin J. McKeown
:
A Hidden Markov, Multivariate Autoregressive (HMM-mAR) Network Framework for Analysis of Surface EMG (sEMG) Data. IEEE Trans. Signal Process. 56(8-2): 4069-4081 (2008) - [c19]Zheng Ma, Z. Jane Wang, Martin J. McKeown
:
Probabilistic Boolean Network for inferring brain connectivity using FMRI data. ICASSP 2008: 457-460 - [c18]Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeown
:
Mutual information based relevance network analysis: a Parkinson'S disease study. ICASSP 2008: 497-500 - [c17]Junning Li, Z. Jane Wang, Martin J. McKeown
:
Controlling the false discovery rate in modeling brain functional connectivity. ICASSP 2008: 2105-2108 - [c16]Ashish Uthama, Rafeef Abugharbieh, Samantha J. Palmer, Anthony Traboulsee
, Martin J. McKeown
:
Invariant 3D spharm features for characterizing fMRI activations in ROIs while minimizing effects of intersubject anatomical variability. ISBI 2008: 560-563 - [c15]Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
:
Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest. ISBI 2008: 572-575 - 2007
- [j4]Martin J. McKeown
, Junning Li, Xuemei Huang, Mechelle Lewis, Seungshin Rhee, K. N. Young Truong, Z. Jane Wang:
Local Linear Discriminant Analysis (LLDA) for group and region of interest (ROI)-based fMRI analysis. NeuroImage 37(3): 855-865 (2007) - [j3]Rayan Saab, Özgür Yilmaz, Martin J. McKeown
, Rafeef Abugharbieh:
Underdetermined Anechoic Blind Source Separation via ellq-Basis-Pursuit With q<<1. IEEE Trans. Signal Process. 55(8): 4004-4017 (2007) - [c14]Martin J. McKeown
, Junning Li, Xuemei Huang, Z. Jane Wang:
Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data. ICASSP (1) 2007: 305-308 - [c13]Z. Jane Wang, Martin J. McKeown
:
Relevance Network Modeling for Muscle Association Pattern in Reaching Movements. ICASSP (1) 2007: 389-392 - [c12]Junning Li, Z. Jane Wang, Martin J. McKeown
:
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity. ICASSP (1) 2007: 429-432 - [c11]Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer, Martin J. McKeown:
Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals. MICCAI (1) 2007: 767-774 - 2006
- [c10]Bernard Ng, Rafeef Abugharbieh, Xuemei Huang, Martin J. McKeown
:
Characterizing fMRI Activations within Regions of Interest (ROIs) Using 3D Moment Invariants. CVPR Workshops 2006: 63 - [c9]Junning Li, Z. Jane Wang, Martin J. McKeown:
Bayesian Network Modeling For Discovering "Directed Synergies" Among Muscles in Reaching Movements. ICASSP (2) 2006: 1156-1159 - [c8]Joyce Chiang, Z. Jane Wang, Martin J. McKeown:
A Time-Varying Eigenspectrum/SVM Method for Semg Classification of Reaching Movements in Healthy and Stroke Subjects. ICASSP (2) 2006: 1188-1191 - [c7]Sina Tootoonian, Rafeef Abugharbieh, Xuemei Huang, Martin J. McKeown:
Shape vs. volume: invariant shape descriptors for 3D region of interest characterization in MRI. ISBI 2006: 754-757 - [c6]Junning Li, Z. Jane Wang, Martin J. McKeown:
Dynamic Bayesian networks (DBNS) demonstrate impaired brain connectivity during performance of simultaneous movements in Parkinson's disease. ISBI 2006: 964-967 - 2005
- [j2]Rui Liao, Jeffrey L. Krolik, Martin J. McKeown
:
An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis. IEEE Trans. Medical Imaging 24(1): 29-44 (2005) - [c5]Rui Liao, Martin J. McKeown
, Jeffrey L. Krolik:
Improved Motion Correction of fMRI Time-Series Corrupted with Major Head Movement Using Extended Motion-Corrected Independent Component Analysis. CVBIA 2005: 346-355 - 2004
- [c4]Rui Liao, Martin J. McKeown, Jeffrey L. Krolik:
Motion-corrected independent component analysis for robust functional magnetic resonance imaging. ICASSP (2) 2004: 37-40 - [c3]Rui Liao, Jeffrey L. Krolik, Martin J. McKeown:
Isolation and Minimization of Effects of Motion on fMRI Using Multiple Reference Images. ISBI 2004: 916-919 - 2002
- [c2]Rui Liao, Jeffrey L. Krolik, Martin J. McKeown
:
Movement correction of fMRI time-series using intrinsic statistical properties of images: an independent component analysis approach. ISBI 2002: 765-768 - 2001
- [j1]Tzyy-Ping Jung
, Scott Makeig, Martin J. McKeown
, Anthony J. Bell, Te-Won Lee, Terrence J. Sejnowski:
Imaging brain dynamics using independent component analysis. Proc. IEEE 89(7): 1107-1122 (2001)
1990 – 1999
- 1997
- [c1]Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski:
Extended ICA Removes Artifacts from Electroencephalographic Recordings. NIPS 1997: 894-900
Coauthor Index
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