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2020 – today
- 2025
[j56]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. Neurocomputing 611: 128605 (2025)- 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
[j56] [j55] [j54] [i3] [j53] [j52] [j51] [j47] [j46] [i2] [j42] [i1] [j40] [j39] [c56] [j38] [j36] [j35] [c55] [j34] [j33] [c49] [c48] [j31] [j29] [j28] [c45] [c44] [c43] [c41] [j27] [c38] [j26] [j25] [j24] [c32] [j22] [j21] [j20] [j19] [j17] [j16] [c31] [c30] [c29] [j15] [j14] [j13] [c26] [c25] [c24] [j11] [j9] [j8] [j7] [j6] [j5] [c19] [c18] [c17] [j4] [c14] [c13] [c12] [c9] [c8] [c6]
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
