pan, Gerald Smith, Gad Alon, s Mag. Res. Med., 2002).
  •   Sex Differences in the Cerebral BOLD Signal Response to Painful Heat Stimuli (joint with Eric Moulton, Michael Keaser, Rao Gullapalli and Joel Greenspan, Am. J Psychology, 2006).
  •   Multivariate Gaussian Simulation Outside Arbitrary Gaussian Ellipsoids (joint with Nick Ellis, Journal of Computational and Graphical Statistics, 2007).
  •   Initializing Partition-Optimization Algorithms (IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2009).
  •   Clustering in the Presence of Scatter (joint with Ivan Ramler, Biometrics, 2009). Web supplement.
  •   Assessing Certainty of Activation or Inactivation in Test-Retest fMRI Studies ( Neuroimage, 2009).
  •   Noise Estimation in Magnitude MR Datasets (joint with David Faden, IEEE Transactions on Medical Imaging, 2009).
  •   A k-means Direction Algorithm for Fast Clustering of Data on the Sphere" (joint with Ivan Ramler, Journal of Computational and Graphical Statistics, 2010) Web supplement.
  •   Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms" (joint with Volodymyr Melnykov, Journal of Computational and Graphical Statistics, 2010) Web supplement.
  •   A Re-defined and Generalized Percent-Overlap-of-Activation Measure for Studies of fMRI Reproducibility and Its Use in Identifying Outlier Activation Maps ( Neuroimage, 2010).
  •  Synthetic Magnetic Resonance Imaging Revisited (joint with John Riddles, IEEE Transactions on Medical Imaging, 2010).
  •  Finite Mixture Models and Model-based Clustering (joint with Volodymyr Melnykov Statistics Surveys, 2010).
  •  A Nonstationary Nonparametric Bayesian Approach to Dynamically Modeling Effective Connectivity in functional Magnetic Resonance Imaging Experiments (joint with Sourabh Bhattacharya, Annals of Applied Statistics, 2011).
  •  CARP: Software for Fishing Out Good Clustering Algorithms (joint with Volodymyr Melnykov, Journal of Machine Learning Research, 2011).
  •   Accounting for Spot Matching Uncertainty in the Analysis of Proteomics Data from Two-dimensional Gel Electrophoresis. (joint with Volodymyr Melnykov and Dan Nettleton, Sankhya Series B, 2011).
  •   Model-based clustering of regression time series data via APECM - an AECM algorithm sung to an even faster beat (joint with Wei-Chen Chen, Statistical Analysis and Data Mining, 2011.) (This paper won Wei-Chen Chen a student paper award in Statistical Learning and Data Mining at JSM 2011.)
  •   Bootstrapping for Significance in Multi-dimensional Datasets (joint with the Journal of the American Statistical Association, 2012).
  •   MixSim: An R Package for Simulating Data to Study Performance of Clustering Algorithms (joint with Volodymyr Melnykov and Wei-Chen Chen, Journal of Statistical Software, 2012).
  •  On the Expectation-Maximization Algorithm for Rice-Rayleigh Mixtures with Application to Noise Parameter Estimation in Magnitude MR Datasets (to appear in Sankhya Series B, 2013).
  •  Ricean over Gaussian modeling in magnitude fMRI Analysis -- Added Complexity with Negligible Practical Benefits" (joint with Daniel W. Adrian and Daniel B. Rowe,Stat, 2013)
  •  A statistical framework for improved automatic flaw detection in nondestructive evaluation images" (joint with Ye Tian, William Q. Meeker and Stephen D. Holland, to appear in Technometrics, 2013)