Leigh A. Johnston

发表

Solving the Bloch Equation With Periodic Excitation Using Harmonic Balancing: Application to Rabi Modulated Excitation

Iven M. Y. Mareels, Peter M. Farrell, Bahman Tahayori, 2015, IEEE Transactions on Medical Imaging.

Validation of ‘Somnivore’, a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data

Leigh A. Johnston, Dean R. Freestone, Giancarlo Allocca, 2019, Front. Neurosci..

A Multistage Parallel Magnetic Resonance Image Reconstruction Method

Zhaolin Chen, Gary F. Egan, Jingxin Zhang, 2008, 2008 Digital Image Computing: Techniques and Applications.

Nonlinear estimation of the BOLD signal

Iven M. Y. Mareels, Gary F. Egan, Leigh A. Johnston, 2008, NeuroImage.

An improvement to the interacting multiple model (IMM) algorithm

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2001, IEEE Trans. Signal Process..

Modelling and Estimation of Multicomponent $T_{2}$ Distributions

Mark R. Morelande, William Moran, David K. Wright, 2013, IEEE Transactions on Medical Imaging.

Novel insight into magnetic resonance through a spherical coordinate framework for the Bloch equation

Iven Mareels, Peter M. Farrell, Bahman Tahayori, 2009, Medical Imaging.

Limitations of two-component diffusion models for axon diameter density estimation

Stephen M. Moore, David K. Wright, Leigh A. Johnston, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Consistent hemodynamic response estimation function in fMRI using sparse prior information

Abd-Krim Seghouane, Leigh A. Johnston, L. Johnston, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

A Tracking Approach to Parcellation of the Cerebral Cortex

Iven M. Y. Mareels, Gary F. Egan, Leigh A. Johnston, 2005, MICCAI.

A method for assessing nonlinear growth in the fetal cortex

Leigh A. Johnston, Rosita Shishegar, Joanne M. Britto, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Opportunistic file transfer over a fading channel: A POMDP search theory formulation with optimal threshold policies

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2006, IEEE Transactions on Wireless Communications.

Performance Analysis for Magnetic Resonance Imaging With Nonlinear Encoding Fields

Mark R. Morelande, William Moran, Leigh A. Johnston, 2012, IEEE Transactions on Medical Imaging.

Fourier Tract Sampling (FouTS): A framework for improved inference of white matter tracts from diffusion MRI by explicitly modelling tract volume

Alan Connelly, Fernando Calamante, Jacques-Donald Tournier, 2015, NeuroImage.

Efficient Computation of Closed Contours using Modified Baum-Welch Updating

James H. Elder, Leigh A. Johnston, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Quantifying gyrification using Laplace Beltrami eigenfunction level-sets

David W. Walker, Jonathan H. Manton, Leigh A. Johnston, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Hidden Markov model algorithms for narrowband interference suppression in CDMA spread spectrum systems

Vikram Krishnamurthy, Leigh A. Johnston, 1999, Signal Process..

Analysis of ADC model robustness in diffusion-weighted MRI

David K. Wright, Leigh A. Johnston, Syeda Warda Taqdees, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Model-RPE Algorithm for Narrowband Interference Suppression in Spread Spectrum Systems

Vikram Krishnamurthy, Leigh A. Johnston, 1998 .

NMR spectroscopy using Rabi modulated continuous wave excitation

Stephen M. Moore, Bahman Tahayori, Leigh A. Johnston, 2017, Biomed. Signal Process. Control..

Phantom measurement predicts the impact of image reconstruction on Florbetapir SUVR quantification

Leigh A. Johnston, Vincent Dore, Bradford A. Moffat, 2019 .

Finite dimensional smoothers for MAP state estimation of bilinear systems

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 1999, IEEE Trans. Signal Process..

Improved quantification of MRI relaxation rates using Bayesian estimation

Mark R. Morelande, William Moran, Leigh A. Johnston, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Performance analysis of a dynamic programming track before detect algorithm

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2002 .

3D model-based approach to identification of laminar structures of the cerebral cortex: Application to Brodmann areas 17 and 18

Iven M. Y. Mareels, Arthur W. Toga, Gary F. Egan, 2013, Biomed. Signal Process. Control..

Optimality of threshold transmission policies in Gilbert Elliott fading channels

Vikram Krishnamurthy, Leigh A. Johnston, 2003, IEEE International Conference on Communications, 2003. ICC '03..

A Method for Shape Analysis and Segmentation in MRI

Zhaolin Chen, Gary F. Egan, Nathan Faggian, 2008, 2008 Digital Image Computing: Techniques and Applications.

Filtering induces correlation in fMRI resting state data

Gary F. Egan, David B. Grayden, Leigh A. Johnston, 2013, NeuroImage.

Voxelwise regularisation of high angular resolution diffusion imaging data

Gary F. Egan, Leigh A. Johnston, Scott Kolbe, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Stochastic Linear Model for fMRI Activation Analyses

Gary F. Egan, Leigh A. Johnston, Maria Gavrilescu, 2011, MICCAI.

Bayesian model evidence for order selection and correlation testing

Iven M. Y. Mareels, Gary F. Egan, Leigh A. Johnston, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Biomechanisms for modelling cerebral cortical folding

Gary F. Egan, David W. Smith, David W. Walker, 2009, Medical Image Anal..

An optimised framework for reconstructing and processing MR phase images

Zhaolin Chen, Gary F. Egan, Zang-Hee Cho, 2010, NeuroImage.

Microstructural correlates of 23Na relaxation in human brain at 7 Tesla

Leigh A. Johnston, Meng Law, Jon O. Cleary, 2020, NeuroImage.

Contour Grouping with Prior Models

James H. Elder, Leigh A. Johnston, Amnon Krupnik, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Revisiting the Bloch equation through averaging

Iven M. Y. Mareels, Bahman Tahayori, Leigh A. Johnston, 2008, 2008 47th IEEE Conference on Decision and Control.

Derivation of a sawtooth iterated extended Kalman smoother via the AECM algorithm

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2001, IEEE Trans. Signal Process..

An Informatics Approach for the Study of Neuron Migratory Dynamics

Leigh A. Johnston, Joanne M. Britto, Seong-Seng Tan, 2009 .

Optimal MAP estimation of bilinear systems via the EM algorithm

Vikram Krishnamurthy, Andrew Logothetis, Leigh A. Johnston, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Sulcal curve extraction using Laplace Beltrami eigenfunction level sets

David W. Walker, Leigh A. Johnston, Mary Tolcos, 2016, EMBC.

Adapting magnetic resonance imaging performance using nonlinear encoding fields

Mark R. Morelande, Bill Moran, Leigh A. Johnston, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Particle Filtering for Nonlinear BOLD Signal Analysis

Gary F. Egan, Leigh A. Johnston, Eugene P. Duff, 2006, MICCAI.

Performance analysis of a track before detect dynamic programming algorithm

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Automatic segmentation of fetal brain using diffusion-weighted imaging cues

David W. Walker, Leigh A. Johnston, Anand A. Joshi, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Revisiting excitation pattern design for magnetic resonance imaging through optimisation of the signal contrast efficiency

Iven M. Y. Mareels, Bahman Tahayori, Leigh A. Johnston, 2009, Biomed. Signal Process. Control..

Estimation of relaxation time distributions in magnetic resonance imaging

Mark R. Morelande, William Moran, Leigh A. Johnston, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Iterative algorithms for optimal MAP estimation of bilinear systems

Vikram Krishnamurthy, Andrew Logothetis, Leigh A. Johnston, 1998, Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252).

Optic nerve diffusion changes and atrophy jointly predict visual dysfunction after optic neuritis

Gary F. Egan, Leigh A. Johnston, Peter Mitchell, 2009, NeuroImage.

Characterization of the corpus callosum in very preterm and full-term infants utilizing MRI

Gary F. Egan, Simon K. Warfield, Nathan Faggian, 2011, NeuroImage.

Venous vessel boundary delineation at high field using sigmoid-SWI

Gary F. Egan, Zang-Hee Cho, Leigh A. Johnston, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A hidden Markov model-RPE algorithm for narrowband interference suppression in spread spectrum systems

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

A gyrification analysis approach based on Laplace Beltrami eigenfunction level sets

Gary F. Egan, Neda Jahanshad, Leigh A. Johnston, 2021, NeuroImage.

QSMART: Quantitative susceptibility mapping artifact reduction technique

Leigh A. Johnston, Negin Yaghmaie, Bradford A. Moffat, 2021, NeuroImage.

Modelling and Estimation of Multicomponent Distributions

Peter M. Farrell, Bill Moran, Leigh A. Johnston, 2013 .

2750 Encoding chemical shift with Rabi modulated continuous wave excitation

Peter M. Farrell, Bahman Tahayori, Leigh A. Johnston, 2013 .

A performance measure for MRI with nonlinear encoding fields

Mark R. Morelande, Peter M. Farrell, Bill Moran, 2011 .

The Bloch Equation Revisited through Averaging under Adiabatic Passages

Iven Mareels, Peter M. Farrell, Bahman Tahayori, 2011 .