- Maxima of discretely sampled random fields, with an application to `bubbles'
- Applications of random field theory to functional connectivity
- Variability of Spatial Location of Activation in fMRI and PET CBF Images
- Detecting fMRI activation allowing for unknown latency of the hemodynamic response
- Estimating the number of peaks in a random field using the Hadwiger characteristic of excursion sets,
- Detecting Changes In Non-Isotropic Images K.J. Worsley1
- THE DETECTION OF LOCAL SHAPE CHANGES VIA THE GEOMETRY OF HOTELLING'S T2
- Analysis of fMRI Time-Series Revisited -Again K.J. Worsley K.J. Friston
- ROTATION SPACE RANDOM FIELDS WITH AN APPLICATION TO FMRI DATA , D. SIEGMUND
- A Unified Statistical Approach for Determining Significant Signals in Images of
- Connectivity of anatomical and functional MRI data Keith J. Worsley12, Arnaud Charil2, Jason Lerch2, Alan C. Evans2
- A Bayesian time course model for functional magnetic resonance imaging
- Statistical analysis of cortical surfaces K.J. Worsley, D. MacDonald, J. Cao, Kh. Shafie, and A. C. Evans
- Applications of Random Fields in Human Brain J. Cao and K.J. Worsley
- Recovering the information in the drift of fMRI data Keith J. Worsley
- Testing for a signal with unknown location and scale in a stationary Gaussian random field
- Rotation Space: Detecting Functional Activation by Searching Over Rotated and Scaled Filters
- Unified univariate and multivariate random field theory Keith J. Worsley12
- An overview and some new developments in the statistical analysis of PET and fMRI data
- Inference for magnitudes and delays of responses in the FIAC data using BRAINSTAT/FMRISTAT
- Comparing functional connectivity via thresholding correlations and SVD
- Detecting Functional Connectivity by Thresholding Correlation Random Fields
- Characterizing the Response of PET and fMRI Data using Multivariate Linear Models (MLM)
- An improved theoretical P-value for SPMs based on discrete local maxima
- Non-negative least-squares random field theory Keith Worsley1,2,3
- Detecting fMRI activation allowing for unknown latency of the hemodynamic response
- An improved theoretical P-value for SPMs based on discrete local maxima
- Roy's maximum root and maximum canonical correlation SPMs from multivariate multiple regression analysis of imaging data
- Statistics and Brain Mapping K.J. Worsley
- Detecting Changes In Non-stationary Images via Statistical Flattening
- Detecting Anatomical Changes Using Logistic Regression of Structure Masks
- The Geometry of the Wilks's Random Field F. Carbonell
- Tilted Euler characteristic densities for Central Limit random fields, with application to `bubbles'
- Detecting sparse cone alternatives for Gaussian random fields, with an application to fMRI
- Detecting sparse signals in random fields, with an application to brain mapping
- Spatial smoothing of autocorrelations to control the degrees of freedom in fMRI analysis
- Detecting activation in fMRI data KJ Worsley Department of Mathematics & Statistics, and McConnell Brain Imaging Cen-
- Estimating the delay of the fMRI response , K.J. Worsley1,2
- A General Statistical Analysis for fMRI Data K.J. Worsley1,2
- A test for a conjunction K.J. Worsleya,
- THE GEOMETRY OF CORRELATION FIELDS WITH AN APPLICATION TO FUNCTIONAL
- Scale space searches for a periodic signal in fMRI data with spatially varying hemodynamic response
- An unbiased estimator for the roughness of a multivariate Gaussian random field
- Searching Scale Space for Activation in PET K.J. Worsley, S. Marrett, P. Neelin, and A.C. Evans
- A Unified Statistical Approach for Determining Significant Signals in Location and Scale Space Images
- Tests for Distributed, Non-focal Brain Activations K.J. Worsley J-B. Poline
- BOUNDARY CORRECTIONS FOR THE EXPECTED EULER CHARACTERISTIC OF EXCURSION SETS OF
- Detecting and estimating the regions of activation in CBF activation studies in human brain
- A Three-Dimensional Statistical Analysis for CBF Activation Studies in Human Brain
- Detecting Changes In Nonstationary Images via Statistical Flattening K.J. WORSLEY, M. ANDERMANN, T. KOULIS, D. MACDONALD, A.C. EVANS
- Spatial smoothing of autocorrelations to control the degrees of freedom in fMRI analysis
- Variability of Spatial Location of Activation in fMRI and PET CBF Images L. MA, K. J. WORSLEY, A.C. EVANS
- Submitted to the Annals of Statistics RANDOM FIELDS OF MULTIVARIATE TEST
