Martin J. McKeown

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)

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. Comp. Math. Methods in Medicine 2012 (2012)

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)

Bernard Ng, Martin J. McKeown, Rafeef Abugharbieh: Group Replicator Dynamics: A Novel Group-Wise Evolutionary Approach for Sparse Brain Network Detection. IEEE Trans. Med. Imaging 31(3): 576-585 (2012)

Joyce Chiang, Z. Jane Wang, Martin J. McKeown: A Generalized Multivariate Autoregressive (GmAR)-Based Approach for EEG Source Connectivity Analysis. IEEE Transactions on Signal Processing 60(1): 453-465 (2012)

Xiaohui Chen, Z. Jane Wang, Martin J. McKeown: Shrinkage-to-Tapering Estimation of Large Covariance Matrices. IEEE Transactions on Signal Processing 60(11): 5640-5656 (2012)

Xiaohui Chen, Z. Jane Wang, Martin J. McKeown: Large covariance matrix estimation: Bridging shrinkage and tapering approaches. ICASSP 2012: 2013-2016

Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown: An FDR-controlled, exploratory group modeling for assessing brain connectivity. ISBI 2012: 558-561

Xun Chen, Z. Jane Wang, Martin J. McKeown: A tridirectional method for corticomuscular coupling analysis in Parkinson's disease. MMSP 2012: 309-312

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)

Xiaohui Chen, Z. Jane Wang, Martin J. McKeown: A Bayesian Lasso via reversible-jump MCMC. Signal Processing 91(8): 1920-1932 (2011)

Xiaohui Chen, Z. Jane Wang, Martin J. McKeown: Asymptotic analysis of robust LASSOs in the presence of noise with large variance. IEEE Transactions on Information Theory 56(10): 5131-5149 (2010)

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

Xiaohui Chen, Z. Jane Wang, Martin J. McKeown: Asymptotic analysis of the Huberized LASSO estimator. ICASSP 2010: 1898-1901

Xiaohui Chen, Z. Jane Wang, Martin J. McKeown: FMRI group studies of brain connectivity via a group robust Lasso. ICIP 2010: 589-592

Bernard Ng, Rafeef Abugharbieh, Xuemei Huang, Martin J. McKeown: Spatial Characterization of fMRI Activation Maps Using Invariant 3-D Moment Descriptors. IEEE Trans. Med. Imaging 28(2): 261-268 (2009)

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

Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown: Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD). IPMI 2009: 76-87

Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown: Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis. ISBI 2009: 650-653

Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown: Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA). MICCAI (1) 2009: 490-497

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. J. Sel. Topics Signal Processing 2(6): 813-816 (2008)

Ashish Uthama, Rafeef Abugharbieh, Samantha J. Palmer, Anthony Traboulsee, Martin J. McKeown: SPHARM-Based Spatial fMRI Characterization With Intersubject Anatomical Variability Reduction. J. Sel. Topics Signal Processing 2(6): 907-918 (2008)

Zheng Ma, Z. Jane Wang, Martin J. McKeown: Probabilistic Boolean Network Analysis of Brain Connectivity in Parkinson's Disease. J. Sel. Topics Signal Processing 2(6): 975-985 (2008)

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)

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. Engineering 55(1): 298-310 (2008)

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 Transactions on Signal Processing 56(8-2): 4069-4081 (2008)

Zheng Ma, Z. Jane Wang, Martin J. McKeown: Probabilistic Boolean Network for inferring brain connectivity using FMRI data. ICASSP 2008: 457-460

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

Junning Li, Z. Jane Wang, Martin J. McKeown: Controlling the false discovery rate in modeling brain functional connectivity. ICASSP 2008: 2105-2108

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

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

Rayan Saab, Özgür Yilmaz, Martin J. McKeown, Rafeef Abugharbieh: Underdetermined Anechoic Blind Source Separation via ell^q-Basis-Pursuit With q<<1. IEEE Transactions on Signal Processing 55(8): 4004-4017 (2007)

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

Z. Jane Wang, Martin J. McKeown: Relevance Network Modeling for Muscle Association Pattern in Reaching Movements. ICASSP (1) 2007: 389-392

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

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

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

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

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. Med. Imaging 24(1): 29-44 (2005)

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

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

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

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