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Neuroscience

D-Index
97
Citations
120297
World Ranking
811
National Ranking
94

Overview

Mark Jenkinson is affiliated with the University of Oxford in the United Kingdom. Their research primarily intersects Medicine and Computer Science, with major contributions in Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Artificial Intelligence.

The scientist's research focuses on several main topics including:

  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Medical Image Segmentation Techniques
  • Fetal and Pediatric Neurological Disorders
  • Acute Ischemic Stroke Management
  • Radiomics and Machine Learning in Medical Imaging
  • Dementia and Cognitive Impairment Research

Mark Jenkinson's recent publications span from 2020 to 2022 and cover areas related to neuroimaging and medical data analysis. Some notable papers include:

  • "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) published in EClinicalMedicine
  • "The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants" (2020) published in NeuroImage
  • "The Developing Human Connectome Project Neonatal Data Release" (2022) published in Frontiers in Neuroscience
  • "Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal" (2020) published in NeuroImage
  • "Learning patterns of the ageing brain in MRI using deep convolutional networks" (2020) published in NeuroImage

Mark Jenkinson has collaborated frequently with notable coauthors including Ludovica Griffanti, Nicola K. Dinsdale, Ana I. L. Namburete, Vaanathi Sundaresan, and Giovanna Zamboni, reflecting interdisciplinary teamwork within neuroimaging and computational analysis fields.

Their work has been published in a variety of prominent venues, with the most frequent outlets being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • NeuroImage
  • Human Brain Mapping
  • Medical Image Analysis

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

  • 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

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

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

  • The minimal preprocessing pipelines for the Human Connectome Project.

    Matthew F. Glasser;Stamatios N. Sotiropoulos;J. Anthony Wilson;Timothy S. Coalson

  • A multi-modal parcellation of human cerebral cortex

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

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

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

  • Bayesian analysis of neuroimaging data in FSL.

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

  • Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

    Arno Klein;Jesper L. R. Andersson;Babak A. Ardekani;Babak A. Ardekani;John Ashburner

  • A Bayesian model of shape and appearance for subcortical brain segmentation

    Brian Patenaude;Stephen M. Smith;David N. Kennedy;Mark Jenkinson

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

    Stephen M. Smith;Yongyue Zhang;Mark Jenkinson;Jacqueline Chen

  • Multimodal population brain imaging in the UK Biobank prospective epidemiological study

    Karla L Miller;Fidel Alfaro-Almagro;Neal K Bangerter;David L Thomas

  • Multilevel linear modelling for FMRI group analysis using Bayesian inference.

    Mark W. Woolrich;Mark W. Woolrich;Timothy Edward John Behrens;Timothy Edward John Behrens;Christian F. Beckmann;Christian F. Beckmann;Mark Jenkinson

  • General multilevel linear modeling for group analysis in FMRI.

    Christian F. Beckmann;Mark Jenkinson;Stephen M. Smith

  • Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.

    Fidel Alfaro-Almagro;Mark Jenkinson;Neal K. Bangerter;Jesper L. R. Andersson

  • The Human Connectome Project's neuroimaging approach

    Matthew F Glasser;Stephen M Smith;Daniel S Marcus;Jesper L R Andersson

  • Functional connectomics from resting-state fMRI

    S.M. Smith;D. Vidaurre;Christian Beckmann;Christian Beckmann;Christian Beckmann;M.F. Glasser

  • Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

    Stamatios N. Sotiropoulos;Saâd Jbabdi;Junqian Xu;Jesper L. R. Andersson

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia

    Gwenaëlle Douaud;Stephen Smith;Mark Jenkinson;Timothy Behrens

Frequent Co-Authors

Stephen M. Smith
Stephen M. Smith University of Oxford
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Paul M. Matthews
Paul M. Matthews Imperial College London
Karla L. Miller
Karla L. Miller University of Oxford
Clare E. Mackay
Clare E. Mackay University of Oxford
Jesper L. R. Andersson
Jesper L. R. Andersson University of Oxford
Christian F. Beckmann
Christian F. Beckmann Radboud University
Heidi Johansen-Berg
Heidi Johansen-Berg University of Oxford
Saad Jbabdi
Saad Jbabdi University of Oxford
Stuart Clare
Stuart Clare University of Oxford

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