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Martin J. McKeown: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    CVBIA, 2005, pp:346-355 [Conf]
  2. Rui Liao, Jeffrey L. Krolik, Martin J. McKeown
    Isolation and Minimization of Effects of Motion on fMRI Using Multiple Reference Images. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:916-919 [Conf]
  3. Sina Tootoonian, Rafeef Abugharbieh, Xuemei Huan Huang, Martin J. McKeown
    Shape vs. volume: invariant shape descriptors for 3D region of interest characterization in MRI. [Citation Graph (0, 0)][DBLP]
    ISBI, 2006, pp:754-757 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    ISBI, 2006, pp:964-967 [Conf]
  5. 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. [Citation Graph (0, 0)][DBLP]
    ISBI, 2002, pp:765-768 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  7. Rui Liao, Jeffrey L. Krolik, Martin J. McKeown
    An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:1, pp:29-44 [Journal]

  8. Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD). [Citation Graph (, )][DBLP]


  9. Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest. [Citation Graph (, )][DBLP]


  10. Invariant 3D spharm features for characterizing fMRI activations in ROIs while minimizing effects of intersubject anatomical variability. [Citation Graph (, )][DBLP]


  11. Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis. [Citation Graph (, )][DBLP]


  12. Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals. [Citation Graph (, )][DBLP]


  13. Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA). [Citation Graph (, )][DBLP]


  14. Probabilistic Boolean Network for inferring brain connectivity using FMRI data. [Citation Graph (, )][DBLP]


  15. Controlling the false discovery rate in modeling brain functional connectivity. [Citation Graph (, )][DBLP]


  16. Mutual information based relevance network analysis: a Parkinson'S disease study. [Citation Graph (, )][DBLP]


  17. Sparse multivariate autoregressive (mAR)-based partial directed coherence (PDC) for electroencephalogram (EEG) analysis. [Citation Graph (, )][DBLP]


  18. Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data. [Citation Graph (, )][DBLP]


  19. A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity. [Citation Graph (, )][DBLP]


  20. Relevance Network Modeling for Muscle Association Pattern in Reaching Movements. [Citation Graph (, )][DBLP]


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