Stephen M. Smith

发表

Directed functional connectivity using dynamic graphical models

Mark W. Woolrich, Simon Schwab, Ruth Harbord, 2018, NeuroImage.

Sampling and Visualizing Creases with Scale-Space Particles

Carl-Fredrik Westin, Stephen M. Smith, Gordon L. Kindlmann, 2009, IEEE Transactions on Visualization and Computer Graphics.

Permutation inference for the general linear model

Stephen M. Smith, Thomas E. Nichols, Gerard R. Ridgway, 2014, NeuroImage.

Planar Region Detection and Motion Recovery

Andrew Blake, Stephen M. Smith, Charlie Rothwell, 1992, BMVC.

Estimation of brain age delta from brain imaging

Stephen M. Smith, Thomas E. Nichols, Karla L. Miller, 2019, NeuroImage.

Optimising neonatal fMRI data analysis: Design and validation of an extended dHCP preprocessing pipeline to characterise noxious-evoked brain activity in infants

Stephen M. Smith, Sean P. Fitzgibbon, Mark Jenkinson, 2019, NeuroImage.

Accelerating functional MRI using fixed‐rank approximations and radial‐cartesian sampling

Stephen M. Smith, Mark Chiew, Karla L. Miller, 2016, Magnetic resonance in medicine.

A Bayesian Cost Function Applied to Model-Based Registration of Sub-cortical Brain Structures

Stephen M. Smith, Mark Jenkinson, Brian Patenaude, 2006, WBIR.

Probabilistic independent component analysis for functional magnetic resonance imaging

Stephen M. Smith, Christian F. Beckmann, C. Beckmann, 2004, IEEE Transactions on Medical Imaging.

Methods for Tractography-Driven Surface Registration of Brain Structures

Stephen M. Smith, Mark Jenkinson, Aleksandar Petrovic, 2009, MICCAI.

Fully Bayesian spatio-temporal modeling of FMRI data

Mark W. Woolrich, Stephen M. Smith, Mark Jenkinson, 2004, IEEE Transactions on Medical Imaging.

Effective degrees of freedom of the Pearson's correlation coefficient under autocorrelation

Soroosh Afyouni, Stephen M. Smith, Thomas E. Nichols, 2019, NeuroImage.

Planar region detection and motion recovery

Andrew Blake, Stephen M. Smith, Charlie Rothwell, 1993, Image Vis. Comput..

A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation

Daniel Rueckert, Stephen M. Smith, Joseph V. Hajnal, 2005, SPIE Medical Imaging.

The WU-Minn Human Connectome Project: An overview

Essa Yacoub, Stephen M. Smith, Timothy Edward John Behrens, 2013, NeuroImage.

Evidence for abnormalities of cortical development in adolescent-onset schizophrenia

Stephen M. Smith, Paul M. Matthews, Anthony James, 2008, NeuroImage.

How reliable are MEG resting-state connectivity metrics?

Mark W. Woolrich, Matthew J. Brookes, Stephen M. Smith, 2016, NeuroImage.

A New Class of Corner Finder

Stephen M. Smith, Stephen M. Smith, 1992, BMVC.

k-t FASTER: a new method for the acceleration of resting state FMRI data acquisition

Stephen M. Smith, Thomas Blumensath, Peter J. Koopmans, 2013 .

Crossing fibres in tract-based spatial statistics

Stephen M. Smith, Timothy Edward John Behrens, Saâd Jbabdi, 2010, NeuroImage.

Modelling subject variability in the spatial and temporal characteristics of functional modes

Mark W. Woolrich, Stephen M. Smith, Sean P. Fitzgibbon, 2019, NeuroImage.

Disambiguating brain functional connectivity

Mark W. Woolrich, Stephen M. Smith, Eugene P. Duff, 2017, NeuroImage.

The relationship between spatial configuration and functional connectivity of brain regions

Mark W. Woolrich, Stephen M. Smith, Matthew F. Glasser, 2017 .

A symmetric multivariate leakage correction for MEG connectomes

Mark W. Woolrich, Matthew J. Brookes, Stephen M. Smith, 2015, NeuroImage.

ASSET-2: Real-Time Motion Segmentation and Shape Tracking

Stephen M. Smith, Michael Brady, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

A global optimisation method for robust affine registration of brain images

Stephen M. Smith, Mark Jenkinson, M. Jenkinson, 2001, Medical Image Anal..

General multilevel linear modeling for group analysis in FMRI

Stephen M. Smith, Mark Jenkinson, Christian F. Beckmann, 2003, NeuroImage.

Functional Connectivity under Anticipation of Shock: Correlates of Trait Anxious Affect versus Induced Anxiety

Stephen M. Smith, Sonia J. Bishop, Janine Bijsterbosch, 2015, Journal of Cognitive Neuroscience.

Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: Tract-based spatial statistics study of aging

Paul M. Thompson, Angela R. Laird, Jack L. Lancaster, 2007, NeuroImage.

Pre-Processing of BOLD FMRI Data

Stephen M. Smith, Mark Jenkinson, Fmrib, 2006 .

Distinct resting-state functional connections associated with episodic and visuospatial memory in older adults

Stephen M. Smith, Clare E. Mackay, Nicola Filippini, 2017, NeuroImage.

Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data

Stephen M. Smith, David M. Cole, Christian F. Beckmann, 2010, Front. Syst. Neurosci..

Directed functional connectivity using dynamic graphical models

Mark W. Woolrich, Simon Schwab, Ruth Harbord, 2018 .

Accurate Robust Symmetry Estimation

Stephen M. Smith, Mark Jenkinson, 1999, MICCAI.

Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI

Daniel Rueckert, Timothy F. Cootes, Stephen M. Smith, 2008, MICCAI.

Resting-State FMRI Single Subject Cortical Parcellation Based on Region Growing

Stephen M. Smith, Timothy Edward John Behrens, Thomas Blumensath, 2012, MICCAI.

Pairwise likelihood ratios for estimation of non-Gaussian structural equation models

Aapo Hyvärinen, Stephen M. Smith, Stephen M. Smith, 2013, J. Mach. Learn. Res..

Resting-state fMRI in the Human Connectome Project

Mark W. Woolrich, Steen Moeller, Essa Yacoub, 2013, NeuroImage.

SUSAN—A New Approach to Low Level Image Processing

Stephen M. Smith, Michael Brady, M. Brady, 1997, International Journal of Computer Vision.

DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease

Stephen M. Smith, Timothy Edward John Behrens, Gordon L. Kindlmann, 2011, NeuroImage.

A Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration

Stephen M. Smith, John Ashburner, Jesper L. R. Andersson, 2019, NeuroImage.

Multilevel linear modelling for FMRI group analysis using Bayesian inference

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2004, NeuroImage.

Improving alignment in Tract-based spatial statistics: Evaluation and optimization of image registration

Stefan Klein, Frans Vos, Stephen M. Smith, 2013, NeuroImage.

Search strategies the answer

Stephen M. Smith, Stephen M. Smith, 1996, Nature.

Genetics of microstructure of cerebral white matter using diffusion tensor imaging

Paul M. Thompson, Jack L. Lancaster, Stephen M. Smith, 2010, NeuroImage.

Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2005, IEEE Transactions on Medical Imaging.

Using Temporal ICA to Selectively Remove Global Noise While Preserving Global Signal in Functional MRI Data

Stephen M. Smith, Matthew F. Glasser, Timothy S. Coalson, 2017 .

Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank

Christopher Rorden, Ludovica Griffanti, Stephen M. Smith, 2017 .

Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers

Ludovica Griffanti, Stephen M. Smith, Matthew F. Glasser, 2014, NeuroImage.

Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data

Stephen M. Smith, Matthew F. Glasser, David C. Van Essen, 2017, NeuroImage.

Bayesian analysis of neuroimaging data in FSL

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2009, NeuroImage.

ICA model order selection of task co-activation networks

Angela R. Laird, Stephen M. Smith, Peter T. Fox, 2013, Front. Neurosci..

Classification of follicular lymphoma: the effect of computer aid on pathologists grading

Berkman Sahiner, Metin Nafi Gürcan, Stephen M. Smith, 2015, BMC Medical Informatics and Decision Making.

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

Daniel Rueckert, Stephen M. Smith, Mary A. Rutherford, 2019, NeuroImage.

Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis

Stephen M. Smith, Mark Jenkinson, Paul M. Matthews, 2002, NeuroImage.

Behavioral Interpretations of Intrinsic Connectivity Networks

Jessica A. Turner, Angela R. Laird, Simon B. Eickhoff, 2011, Journal of Cognitive Neuroscience.

GLM permutation - nonparametric inference for arbitrary general linear models

Stephen M. Smith, Thomas E. Nichols, Gerard R. Ridgway, 2008 .

fMRI resting state networks define distinct modes of long-distance interactions in the human brain

Stephen M. Smith, Paul M. Matthews, Christian F. Beckmann, 2006, NeuroImage.

The future of FMRI connectivity

Stephen M. Smith, Stephen M. Smith, 2012, NeuroImage.

Advances in functional and structural MR image analysis and implementation as FSL

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2004, NeuroImage.

ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI

Stephen M. Smith, Serge A. R. B. Rombouts, Verena Heise, 2015, Front. Neurosci..

A Bayesian model of shape and appearance for subcortical brain segmentation

Stephen M. Smith, Mark Jenkinson, David N. Kennedy, 2011, NeuroImage.

The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5–21 year olds

Essa Yacoub, Stephen M. Smith, Thomas E. Nichols, 2018, NeuroImage.

Integrated real-time motion segmentation and 3D interpretation

Stephen M. Smith, Stephen M. Smith, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power

Stephen M. Smith, Matthew F. Glasser, David C. Van Essen, 2019, NeuroImage.

Adjusting the Neuroimaging Statistical Inferences for Nonstationarity

Stephen M. Smith, Thomas E. Nichols, Gholamreza Salimi Khorshidi, 2009, MICCAI.

Disambiguating brain functional connectivity

Mark W. Woolrich, Stephen M. Smith, Eugene P. Duff, 2017 .

Hierarchical fully bayesian spatio-temporal analysis of FMRI data

Stephen M. Smith, Michael Brady, Mark Woolrich, 2001, NeuroImage.

A Machine Learning Approach to Diffusion MRI Partial Volume Estimation

Stephen M. Smith, Saâd Jbabdi, Emmanuel Vallée, 2018, SASHIMI@MICCAI.

Investigating the intrinsic dimensionality of FMRI data for ICA

Stephen M. Smith, J. Alison Noble, Christian F. Beckmann, 2001, NeuroImage.

Benefits of multi-modal fusion analysis on a large-scale dataset: Life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure

Mark W. Woolrich, Anders M. Fjell, Lars T. Westlye, 2012, NeuroImage.

ASSET-2: visual tracking of moving vehicles

Stephen M. Smith, Stephen M. Smith, 1993 .

Faster permutation inference in brain imaging

Stephen M. Smith, Thomas E. Nichols, Gerard R. Ridgway, 2016, NeuroImage.

Numerical simulation of clotting processes: A lattice Boltzmann application in medical physics

Stephen M. Smith, Patricia V. Lawford, D. Rodney Hose, 2006, Math. Comput. Simul..

Spatio-temporal accuracy of ICA for FMRI

Stephen M. Smith, J. Alison Noble, Christian F. Beckmann, 2001, NeuroImage.

ASSET-2: real-time motion segmentation and shape tracking

Stephen M. Smith, Stephen M. Smith, 1995, Proceedings of IEEE International Conference on Computer Vision.

Optimizing full-brain coverage in human brain MRI through population distributions of brain size

Stephen M. Smith, Mark Jenkinson, Maarten Mennes, 2014, NeuroImage.

Note on small angle approximations for stereo disparity

Stephen M. Smith, 1993, Image Vis. Comput..

BET: Brain Extraction Tool

Stephen M. Smith, Stephen M. Smith, 2013 .

Signal and noise characteristics of SSFP FMRI: A comparison with GRE at multiple field strengths

Stephen M. Smith, Karla L. Miller, Graham C. Wiggins, 2007, NeuroImage.

Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes

Stephen M. Smith, Stamatios N. Sotiropoulos, Michael B. Giles, 2018, NeuroImage.

A Non-Rigid Registration Algorithm for Dynamic Breast MR Images

Stephen M. Smith, Michael Brady, Niall Moore, 1999, Artif. Intell..

ALTRUISM: Interpretation of three-dimensional information for autonomous vehicle control

Stephen M. Smith, Stephen M. Smith, 1995 .

Bayesian statistical models of shape and appearance for subcortical brain segmentation

Stephen M. Smith, Mark Jenkinson, Stephen M. Smith, 2007 .

Removal of FMRI environment artifacts from EEG data using optimal basis sets

Rami K. Niazy, Gian Domenico Iannetti, Stephen M. Smith, 2005, NeuroImage.

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

Stephen M. Smith, Michael Brady, Yongyue Zhang, 2001, IEEE Transactions on Medical Imaging.

Multi-level block permutation

Stephen M. Smith, Thomas E. Nichols, Diego Vidaurre, 2015, NeuroImage.

Group-PCA for very large fMRI datasets

Aapo Hyvärinen, Stephen M. Smith, Gaël Varoquaux, 2014, NeuroImage.

Enhanced brain extraction improves the accuracy of brain atrophy estimation

Stephen M. Smith, Marco Battaglini, Nicola De Stefano, 2008, NeuroImage.

Age-related changes in grey and white matter structure throughout adulthood

Stephen M. Smith, Heidi Johansen-Berg, Valentina Tomassini, 2010, NeuroImage.

Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes

Stephen M. Smith, Stamatios N. Sotiropoulos, Istvan Z. Reguly, 2018 .

Spatially constrained hierarchical parcellation of the brain with resting-state fMRI

Stephen M. Smith, Timothy Edward John Behrens, Thomas Blumensath, 2013, NeuroImage.

Multi-subject hierarchical inverse covariance modelling improves estimation of functional brain networks

Mark W. Woolrich, Stephen M. Smith, Pedro A. Valdes-Sosa, 2018, NeuroImage.

Large-scale Probabilistic Functional Modes from resting state fMRI

Mark W. Woolrich, Stephen M. Smith, Mark Jenkinson, 2015, NeuroImage.

Utility of Partial Correlation for Characterising Brain Dynamics: MVPA-based Assessment of Regularisation and Network Selection

Mark W. Woolrich, Stephen M. Smith, Eugene P. Duff, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Meaningful design and contrast estimability in FMRI

Mark W. Woolrich, Stephen M. Smith, Mark Jenkinson, 2007, NeuroImage.

Concurrent Numerical Simulation of Flow and Blood Clotting using the Lattice Boltzmann Technique

Stephen M. Smith, Patricia V. Lawford, D. Rodney Hose, 2005, ICPADS.

A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging

Daniel Rueckert, Stephen M. Smith, Mark Jenkinson, 2004, MICCAI.

Corrigendum to “An evaluation of four automatic methods of segmenting the subcortical structures in the brain” [NeuroImage 47 (2009) 1435–1447]

Daniel Rueckert, Timothy F. Cootes, Stephen M. Smith, 2010, NeuroImage.

Resting State Correlates of Subdimensions of Anxious Affect

Stephen M. Smith, Sonia J. Bishop, Janine Bijsterbosch, 2014, Journal of Cognitive Neuroscience.

Acceleration of resting state FMRI data acquisition using matrix completion

Stephen M. Smith, Thomas Blumensath, Peter J. Koopmans, 2013 .

Network modelling methods for FMRI

Mark W. Woolrich, Stephen M. Smith, Thomas E. Nichols, 2011, NeuroImage.

On Bias in the Estimation of Autocorrelations for fMRI Voxel Time-Series Analysis

Stephen M. Smith, Jonathan L. Marchini, J. Marchini, 2003, NeuroImage.

Constrained linear basis sets for HRF modelling using Variational Bayes

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2004, NeuroImage.

Independent Component Analysis of Functional Magnetic Resonance Imaging Data Using Wavelet Dictionaries

Stephen M. Smith, Robert Johnson, Christian F. Beckmann, 2007, ICA.

Chapter 10 – Cross-Subject Comparison of Local Diffusion MRI Parameters

Stephen M. Smith, Gordon Kindlmann, Saad Jbabdi, 2014 .

A Dynamic Brain Atlas

Daniel Rueckert, Stephen M. Smith, Joseph V. Hajnal, 2002, MICCAI.

The danger of systematic bias in group-level FMRI-lag-based causality estimation

Mark W. Woolrich, Thomas T. Liu, Karl J. Friston, 2012, NeuroImage.

Concurrent Numerical Simulation of Flow and Blood Clotting using the Lattice Boltzmann Technique

Stephen M. Smith, Patricia V. Lawford, D. Rodney Hose, 2005, 11th International Conference on Parallel and Distributed Systems (ICPADS'05).

Combining Multi-Site/Multi-Study MRI Data: Linked-ICA Denoising for Removing Scanner and Site Variability from Multimodal MRI Data

Stephen M. Smith, Lisa D. Nickerson, Huanjie Li, 2018, bioRxiv.

Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies

Stephen M. Smith, Thomas E. Nichols, Tor D. Wager, 2009, NeuroImage.

Truncation of Abstracts in CD-ROM Databases

Stephen M. Smith, 1995 .

Performance Evaluation of Ensemble Empirical Mode Decomposition

Rami K. Niazy, Stephen M. Smith, Michael Brady, 2009, Adv. Data Sci. Adapt. Anal..

Multimodal Surface Matching: Fast and Generalisable Cortical Registration Using Discrete Optimisation

Stephen M. Smith, Mark Jenkinson, Matthew F. Glasser, 2013, IPMI.

ICA-based segmentation of the brain on perfusion data

Stephen M. Smith, C. F. Beckmann, Evan D. Morris, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference

Stephen M. Smith, Thomas E. Nichols, Stephen M. Smith, 2009, NeuroImage.

ASSET-2: Real-Time Motion Segmentation and Object Tracking

Stephen M. Smith, Stephen M. Smith, 1998, Real Time Imaging.

Hidden Markov random field model and segmentation of brain MR images

Stephen M. Smith, Michael Brady, Yongyue Zhang, 2001 .

Evaluation of slice accelerations using multiband echo planar imaging at 3T

Steen Moeller, Essa Yacoub, Stephen M. Smith, 2013, NeuroImage.

An evaluation of four automatic methods of segmenting the subcortical structures in the brain

Daniel Rueckert, Timothy F. Cootes, Stephen M. Smith, 2009, NeuroImage.

Metal artifact reduction for CT based on sinusoidal description

Stephen M. Smith, Stephen R. Watt-Smith, Julian J. Liu, 2005 .