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Neuroscience

D-Index
163
Citations
238438
World Ranking
95
National Ranking
15

Overview

Stephen M. Smith is affiliated with the University of Oxford in the United Kingdom. Their primary fields of study are Medicine and Neuroscience, with significant work also in subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Genetics, and Neurology.

The scientist's research topics include Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Neural Dynamics and Brain Function, Genetic Associations and Epidemiology, Health, Environment, Cognitive Aging, and Mental Health Research Topics.

Stephen M. Smith has contributed to various scientific journals, frequently publishing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Imaging Neuroscience
  • arXiv (Cornell University)
  • Nature Communications

Among their recent papers are:

  • SARS-CoV-2 is associated with changes in brain structure in UK Biobank, 2022, Nature
  • Phase 1 study of MRX34, a liposomal miR-34a mimic, in patients with advanced solid tumours, 2020, British Journal of Cancer
  • The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions, 2020, Nature Communications
  • Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge, 2021, EClinicalMedicine
  • An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank, 2021, Nature Neuroscience

The scientist collaborates regularly with co-authors including:

  • Fidel Alfaro-Almagro
  • Thomas E. Nichols
  • Karla L. Miller
  • Gwenaëlle Douaud
  • Jesper Andersson

Stephen M. Smith has also contributed to book publications across different publishers. These include:

  • Programming with 64-Bit ARM Assembly Language, published by Apress eBooks in 2020
  • International Relations Theories, published by Oxford University Press in 2024
  • Raspberry Pi Assembly Language Programming, published by Maker Innovations Series, expected in 2025

Best Publications

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

    S M Smith;M Jenkinson;M W Woolrich;M W Woolrich;C F Beckmann

  • Fast robust automated brain extraction

    Stephen M. Smith

  • IMPROVED OPTIMIZATION FOR THE ROBUST AND ACCURATE LINEAR REGISTRATION AND MOTION CORRECTION OF BRAIN IMAGES

    Mark Jenkinson;Peter R. Bannister;Peter R. Bannister;Michael Brady;Stephen M. Smith

  • New advances in the Clinica software platform for clinical neuroimaging studies

    Alexandre Routier;Arnaud Marcoux;Mauricio Diaz Melo;Jérémy Guillon

  • A global optimisation method for robust affine registration of brain images

    Mark Jenkinson;Stephen M. Smith

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

    Y. Zhang;M. Brady;S. Smith

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

    S M Smith;M Jenkinson;H Johansen-Berg;D Rueckert

  • The WU-Minn Human Connectome Project: An Overview

    David C. Van Essen;Stephen M. Smith;M Deanna;Timothy Edward John Behrens

  • SUSAN—A New Approach to Low Level Image Processing

    Stephen M. Smith;J. Michael Brady

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

    Stephen M. Smith;Peter T. Fox;Karla L. Miller;David C. Glahn

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

    Stephen M. Smith;Thomas E. Nichols;Thomas E. Nichols;Thomas E. Nichols

  • A multi-modal parcellation of human cerebral cortex

    Matthew F. Glasser;Timothy S. Coalson;Emma C. Robinson;Emma C. Robinson;Carl D. Hacker

  • Consistent resting-state networks across healthy subjects

    J. S. Damoiseaux;S. A. R. B. Rombouts;F. Barkhof;P. Scheltens

  • Investigations into resting-state connectivity using independent component analysis

    Christian F Beckmann;Marilena DeLuca;Joseph T Devlin;Stephen M Smith

  • Permutation inference for the general linear model.

    Anderson M. Winkler;Anderson M. Winkler;Anderson M. Winkler;Gerard R. Ridgway;Matthew A. Webster;Stephen M. Smith

  • Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

    Timothy E.J. Behrens;M. W. Woolrich;Mi Jenkinson;H. Johansen-Berg

  • An anatomically comprehensive atlas of the adult human brain transcriptome

    Michael J. Hawrylycz;Ed S. Lein;Angela L. Guillozet-Bongaarts;Elaine H. Shen

  • Temporal autocorrelation in univariate linear modeling of FMRI data.

    Mark W. Woolrich;Brian D. Ripley;J. Michael Brady;Stephen M. Smith

  • Probabilistic independent component analysis for functional magnetic resonance imaging

    C.F. Beckmann;S.M. Smith

  • Bayesian analysis of neuroimaging data in FSL.

    Mark William Woolrich;Saâd Jbabdi;Brian Patenaude;Michael A. Chappell

Frequent Co-Authors

Paul M. Matthews
Paul M. Matthews Imperial College London
Christian F. Beckmann
Christian F. Beckmann Radboud University
Mark Jenkinson
Mark Jenkinson University of Oxford
Mark W. Woolrich
Mark W. Woolrich University of Oxford
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Karla L. Miller
Karla L. Miller University of Oxford
Timothy E.J. Behrens
Timothy E.J. Behrens University of Oxford
Heidi Johansen-Berg
Heidi Johansen-Berg University of Oxford
Matthew F. Glasser
Matthew F. Glasser Washington University in St. Louis
Gwenaëlle Douaud
Gwenaëlle Douaud University of Oxford

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