Stephen M. Smith

发表

Learning patterns of the ageing brain in MRI using deep convolutional networks

Mark Jenkinson, Diego Vidaurre, Nicola K. Dinsdale, 2021, NeuroImage.

Behavioural relevance of spontaneous, transient brain network interactions in fMRI

Mark W. Woolrich, Diego Vidaurre, Alberto Llera, 2021, NeuroImage.

The NonHuman Primate Neuroimaging & Neuroanatomy Project

Essa Yacoub, Henry Kennedy, Kenneth Knoblauch, 2020, 2010.00308.

Confound modelling in UK Biobank brain imaging

Soroosh Afyouni, Thomas E. Nichols, Matteo Bastiani, 2020, NeuroImage.

The Human Connectome Project: A retrospective

Essa Yacoub, Robert Oostenveld, Stamatios N. Sotiropoulos, 2021, NeuroImage.

Phenotype discovery from population brain imaging

Christian F. Beckmann, Weikang Gong, Stephen M. Smith, 2020, bioRxiv.

ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans pdf

Sean P. Fitzgibbon, Matthew F. Glasser, Emma C. Robinson, 2021, IEEE Transactions on Medical Imaging.

Timothy Edward John Behrens, Stephen M. Smith, P. Matthews, 2007, Brain : a journal of neurology.

Investigations into resting-state connectivity using independent component analysis

Stephen M. Smith, C. Beckmann, Marilena DeLuca, 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

Correlation between motor improvements and altered fMRI activity after rehabilitative therapy.

Stephen M. Smith, P. Matthews, H. Johansen-Berg, 2002, Brain : a journal of neurology.

Fast robust automated brain extraction

Stephen M Smith, Stephen M. Smith, Stephen M. Smith, 2002, Human brain mapping.

Brain network dynamics are hierarchically organized in time

Stephen M. Smith, M. Woolrich, D. Vidaurre, 2017, Proceedings of the National Academy of Sciences.

Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus.

Timothy Edward John Behrens, Stephen M. Smith, P. Matthews, 2005, Cerebral cortex.

Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

Stephen M. Smith, M. Brady, M. Jenkinson, 2002, NeuroImage.

Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data

Stephen M. Smith, B. Ripley, M. Brady, 2001, NeuroImage.

Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging

Stephen M. Smith, K. Uğurbil, E. Auerbach, 2010, PloS one.

Non‐parametric combination and related permutation tests for neuroimaging

Thomas E. Nichols, Matthew A. Webster, Stephen M. Smith, 2016, Human brain mapping.

Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects

Thomas E. Nichols, Timothy S. Coalson, Stephen M. Smith, 2018, NeuroImage.

Functional MRI : an introduction to methods

Stephen M. Smith, P. Matthews, P. Jezzard, 2002 .

Temporally-independent functional modes of spontaneous brain activity

Stephen M. Smith, D. V. van Essen, M. Woolrich, 2012, Proceedings of the National Academy of Sciences.

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

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

PROBABILISTIC ICA FOR FMRI - NOISE AND INFERENCE

Christian F. Beckmann, Stephen M. Smith, C. Beckmann, 2003 .

Nonparametric estimation of temporal autocorrelation in FMRI

Mark W. Woolrich, Brian D. Ripley, Stephen M. Smith, 2000, NeuroImage.

What is the most interesting part of the brain?

Timothy E. J. Behrens, Angie Laird, Stephen M. Smith, 2013, Trends in Cognitive Sciences.

An HMRF-EM Algorithm for Partial Volume Segmentation of Brain MRI FMRIB Technical Report TR 01 YZ 1

Fmrib, Stephen M. Smith, J. Brady, 2001 .

Integrity of white matter in the corpus callosum correlates with bimanual co-ordination skills

Timothy Edward John Behrens, Heidi Johansen-Berg, Valeria Della-Maggiore, 2007, NeuroImage.

Cross-Subject Comparison of Local Diffusion MRI Parameters

Gordon Kindlmann, Saad Jbabdi, Stephen M. Smith, 2013 .

Statistical Analysis of fMRI Data

Mark W. Woolrich, Thomas E. Nichols, Christian F. Beckmann, 2009 .

Monitoring disease activity and progression in primary progressive multiple sclerosis using MRI: sub-voxel registration to identify lesion changes and to detect cerebral atrophy

Paul M. Matthews, Alan J. Thompson, David H. Miller, 2002, Journal of Neurology.

Hierarchical fully bayesian spatio-temporal analysis of FMRI data

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

Patterns of sociocognitive stratification and perinatal risk in the child brain

Lars T. Westlye, Dag Alnæs, Andre F. Marquand, 2020, Proceedings of the National Academy of Sciences.

Spatial consistency of FMRI Resting State Networks across sessions and across subjects

Paul M. Matthews, N. De Stefano, Christian F. Beckmann, 2004 .

Estimation of Brain Age Delta from Brain Imaging

Thomas E. Nichols, Karla L. Miller, Diego Vidaurre, 2019 .

Investigation of white matter pathology in ALS and PLS using tract‐based spatial statistics

Timothy Edward John Behrens, Heidi Johansen-Berg, Paul M. Matthews, 2009, Human brain mapping.

Multimodal Surface Matching with Higher-Order Smoothness Constraints

Ben Glocker, Daniel Rueckert, Mark Jenkinson, 2017 .

The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

Alejandro F. Frangi, Paul M. Matthews, Steffen E. Petersen, 2020, Nature Communications.

Author response: Fast transient networks in spontaneous human brain activity

Mark W. Woolrich, Matthew J. Brookes, Iead Rezek, 2014 .

Discovering markers of healthy aging: a prospective study in a Danish male birth cohort

Thomas E. Nichols, Egill Rostrup, Fidel Alfaro-Almagro, 2019, Aging.

Effective Degrees of Freedom of the Pearson’s Correlation Coefficient under Serial Correlation

Soroosh Afyouni, Thomas E. Nichols, Stephen M. Smith, 2018, bioRxiv.

Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations

Lloyd T. Elliott, Thomas E. Nichols, Karla L. Miller, 2019, bioRxiv.

The role of registration in functional magnetic resonance imaging

Mark Jenkinson, Stephen M. Smith, 2001 .

Functional magnetic resonance imaging: An introduction to methods

Paul M. Matthews, Peter Jezzard, Stephen M. Smith, 2001 .

Erratum: Correlation between motor improvements and altered fMRI activity after rehabilitative therapy (Brain (December 2002) 125: 12 (2731-2742))

Heidi Johansen-Berg, Paul M. Matthews, Helen Dawes, 2003 .

Global optimisation for robust affine registration

Mark Jenkinson, Stephen M. Smith, M. Jenkinson, 2000, NeuroImage.

Supplementary Information and Figures for the Human Connectome Project's Neuroimaging Approach

Steen Moeller, Essa Yacoub, Mark Jenkinson, 2016 .

Simultaneous Multi-Slice Imaging for Resting-State fMRI

Karla L. Miller, Andreas J. Bartsch, Stephen M. Smith, 2015 .

Ventral Striatum/Nucleus Accumbens Activation to Smoking-Related Pictorial Cues in Smokers and Nonsmokers: A Functional Magnetic Resonance Imaging Study

Heidi Johansen-Berg, Paul M. Matthews, Marcus R. Munafò, 2005, Biological Psychiatry.

First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage

Mark W. Woolrich, Clare E. Mackay, Gari D. Clifford, 2014, Behaviour research and therapy.

The genetic basis of human brain structure and function: 1,262 genome-wide associations found from 3,144 GWAS of multimodal brain imaging phenotypes from 9,707 UK Biobank participants

Lloyd T. Elliott, Karla L. Miller, Fidel Alfaro-Almagro, 2017, bioRxiv.

Voxel-Level Cross-Subject Statistical Analysis of Brain Atrophy in early Relapsing Remitting MS patients

Mark Jenkinson, N. De Stefano, Stephen M. Smith, 2003 .

Spatial vs. Temporal Features in ICA of Resting-State fMRI – A Quantitative and Qualitative Investigation in the Context of Response Inhibition

Yufeng Zang, Gaël Varoquaux, Lixia Tian, 2013, PloS one.

Investigating the intrinsic dimensionality of FMRI data for ICA

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

Bayesian deconvolution of fMRI data using bilinear dynamical systems (vol 42, pg 1381, 2008)

Mark W. Woolrich, Christian F. Beckmann, Salima Makni, 2009 .

Erratum: Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics (Nature Protocols (2007) (499-503) 10.1038/nprot.2007.45)

Daniel Rueckert, Thomas E. Nichols, Matthew D. Robson, 2007 .

Bayesian statistical models of shape and appearance for subcortical brain segmentation

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

Resting Functional Connectivity Reveals Residual Functional Activity in Alzheimer’s Disease

Mark Jenkinson, Clare E. Mackay, Nicola Filippini, 2013, Biological Psychiatry.