User profiles for Stephen M Smith

Stephen M. Smith

WIN (FMRIB), Oxford University
Verified email at fmrib.ox.ac.uk
Cited by 226354

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

SM Smith, M Jenkinson, MW Woolrich, CF Beckmann… - Neuroimage, 2004 - Elsevier
… Author links open overlay panel Stephen M. Smith a , Mark Jenkinson a , Mark W. Woolrich
a b , Christian F. Beckmann a , Timothy EJ Behrens a , Heidi Johansen-Berg a , Peter R. …

Correspondence of the brain's functional architecture during activation and rest

SM Smith, PT Fox, KL Miller… - Proceedings of the …, 2009 - National Acad Sciences
Neural connections, providing the substrate for functional networks, exist whether or not they
are functionally active at any given moment. However, it is not known to what extent brain …

A multi-modal parcellation of human cerebral cortex

…, J Andersson, CF Beckmann, M Jenkinson, SM Smith… - Nature, 2016 - nature.com
Understanding the amazingly complex human cerebral cortex requires a map (or parcellation)
of its major subdivisions, known as cortical areas. Making an accurate areal map has …

[HTML][HTML] Permutation inference for the general linear model

AM Winkler, GR Ridgway, MA Webster, SM Smith… - Neuroimage, 2014 - Elsevier
Permutation methods can provide exact control of false positives and allow the use of non-standard
statistics, making only weak assumptions about the data. With the availability of fast …

Fsl

…, CF Beckmann, TEJ Behrens, MW Woolrich, SM Smith - Neuroimage, 2012 - Elsevier
FSL (the FMRIB Software Library) is a comprehensive library of analysis tools for functional,
structural and diffusion MRI brain imaging data, written mainly by members of the Analysis …

Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data

SM Smith, M Jenkinson, H Johansen-Berg, D Rueckert… - Neuroimage, 2006 - Elsevier
There has been much recent interest in using magnetic resonance diffusion imaging to
provide information about anatomical connectivity in the brain, by measuring the anisotropic …

Fast robust automated brain extraction

SM Smith - Human brain mapping, 2002 - Wiley Online Library
An automated method for segmenting magnetic resonance head images into brain and non‐brain
has been developed. It is very robust and accurate and has been tested on thousands …

SUSAN—a new approach to low level image processing

SM Smith, JM Brady - International journal of computer vision, 1997 - Springer
This paper describes a new approach to low level image processing; in particular, edge and
corner detection and structure preserving noise reduction. Non-linear filtering is used to …

The WU-Minn human connectome project: an overview

DC Van Essen, SM Smith, DM Barch, TEJ Behrens… - Neuroimage, 2013 - Elsevier
The Human Connectome Project consortium led by Washington University, University of
Minnesota, and Oxford University is undertaking a systematic effort to map macroscopic human …

Characterization and propagation of uncertainty in diffusion‐weighted MR imaging

…, PM Matthews, JM Brady, SM Smith - … in Medicine: An …, 2003 - Wiley Online Library
A fully probabilistic framework is presented for estimating local probability density functions
on parameters of interest in a model of diffusion. This technique is applied to the estimation …