Judith M. Ford

发表

An algorithm for accelerated computation of DWTPer-based band preconditioners

Judith M. Ford, Ke Chen, 2004, Numerical Algorithms.

The Corollary Discharge in Humans Is Related to Synchronous Neural Oscillations

Judith M. Ford, Daniel H. Mathalon, Dennis D. Spencer, 2011, Journal of Cognitive Neuroscience.

An Improved Discrete Wavelet Transform Preconditioner for Dense Matrix Problems

Judith M. Ford, J. Ford, 2003, SIAM J. Matrix Anal. Appl..

Solving linear systems using wavelet compression combined with Kronecker product approximation

Judith M. Ford, Eugene E. Tyrtyshnikov, E. Tyrtyshnikov, 2005, Numerical Algorithms.

Introducing formal methods - a less mathematical approach

Judith M. Ford, Neville J. Ford, 1993, Ellis Horwood series in computers and their applications.

Delayed hemodynamic responses in schizophrenia

Judith M. Ford, Daniel H. Mathalon, Matthew B. Johnson, 2005, NeuroImage.

Quality Assurance in Functional MRI

Hyo Jong Lee, David B. Keator, Jessica A. Turner, 2015 .

A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study

Theo G. M. van Erp, Jessica A. Turner, Bryon A. Mueller, 2019, NeuroImage.

Combining Kronecker Product Approximation with Discrete Wavelet Transforms to Solve Dense, Function-Related Linear Systems

Judith M. Ford, Eugene E. Tyrtyshnikov, 2003, SIAM J. Sci. Comput..

Bifurcations in Approximate Solutions of Stochastic Delay Differential Equations

Judith M. Ford, Neville J. Ford, Christopher T. H. Baker, 2004, Int. J. Bifurc. Chaos.

Computers and computer applications: an introduction to the 1990s

Judith M. Ford, Neville J. Ford, Mark R. Woodroffe, 1991 .

Spatial dynamics within and between brain functional domains: A hierarchical approach to study time-varying brain function

Jessica A. Turner, Bryon A. Mueller, Vince D. Calhoun, 2018, bioRxiv.

Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships

Jessica A. Turner, Vince D. Calhoun, Judith M. Ford, 2019, NeuroImage.

Flexible parallelization of fast wavelet transforms

Judith M. Ford, Ke Chen, Neville J. Ford, 2003, Parallel Algorithms Appl..

Group ICA for Identifying Biomarkers in Schizophrenia: ‘Adaptive’ Networks via Spatially Constrained ICA Show More Sensitivity to Group Differences than Spatio-temporal Regression

Judith M. Ford, Dongdong Lin, Zening Fu, 2018 .

Multisite reliability of cognitive BOLD data

Jessica A. Turner, Gary H. Glover, Bryon A. Mueller, 2011, NeuroImage.

On A Recursive Schur Preconditioner For Iterative Solution Of A Class Of Dense Matrix Problems

Judith M. Ford, David J. Evans, Ke Chen, 2003, Int. J. Comput. Math..

Abnormal Coupling Between Default Mode Network and Delta and Beta Band Brain Electric Activity in Psychotic Patients

Judith M. Ford, Daniel H. Mathalon, Thomas Koenig, 2017, Brain Connect..

Wavelet-based Preconditioners for Dense Matrices with Non-Smooth Local Features

Judith M. Ford, Ke Chen, 2001 .

An improved DWT-based preconditioner for dense matrix problems

Judith M. Ford, 2002 .

Matrix approximations and solvers using tensor products and non-standard wavelet transforms related to irregular grids

Judith M. Ford, Ivan Oseledets, Eugene E. Tyrtyshnikov, 2004 .