World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
96
Citations
100737
World Ranking
182
National Ranking
15

Overview

John Ashburner is affiliated with University College London in the United Kingdom. Their research spans multiple domains within medicine and computer science, emphasizing advanced neuroimaging and computational techniques.

The main fields of study for Ashburner include Medicine (66 publications) and Computer Science (38 publications). Their subfields of study focus mainly on Radiology, Nuclear Medicine and Imaging (36 publications), Computer Vision and Pattern Recognition (28 publications), Cognitive Neuroscience (11 publications), Artificial Intelligence (10 publications), and Neurology (8 publications).

Major research topics covered in Ashburner's work include:

  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Functional Brain Connectivity Studies
  • Generative Adversarial Networks and Image Synthesis
  • Brain Tumor Detection and Classification
  • AI in cancer detection

Recent publications illustrate a focus on brain imaging, statistical methods, and neuroimaging applications in clinical contexts. Some notable papers include:

  • Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models, 2022, Medical Image Analysis
  • Restoring statistical validity in group analyses of motion-corrupted MRI data, 2022, Human Brain Mapping
  • Efficacy of spoken word comprehension therapy in patients with chronic aphasia: a cross-over randomised controlled trial with structural imaging, 2020, Journal of Neurology Neurosurgery & Psychiatry
  • A Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration, 2020, NeuroImage
  • Ventralis intermedius nucleus anatomical variability assessment by MRI structural connectivity, 2021, NeuroImage

Ashburner frequently publishes in venues such as arXiv (Cornell University) with 13 publications, NeuroImage (5), bioRxiv (Cold Spring Harbor Laboratory) with 3, Alzheimer's & Dementia (3), and Medical Image Analysis (2).

Collaboration is an important aspect of Ashburner's research profile. Frequent co-authors include Mikael Brudfors, Parashkev Nachev, Yaël Balbastre, M. Jorge Cardoso, and Sébastien Ourselin. These collaborations appear across various projects and publications, indicating an interdisciplinary approach.

Best Publications

  • Voxel-Based Morphometry—The Methods

    John Ashburner;Karl J. Friston

  • A fast diffeomorphic image registration algorithm

    John Ashburner

  • Unified segmentation

    Unknown

  • A voxel-based morphometric study of ageing in 465 normal adult human brains.

    Catriona D. Good;Ingrid S. Johnsrude;John Ashburner;Richard N.A. Henson;Richard N.A. Henson

  • A voxel-based morphometric study of ageing in 465 normal adult human brains

    C.D. Good;I.S. Johnsrude;J. Ashburner;R.N.A. Henson

  • Statistical Parametric Mapping: The Analysis of Functional Brain Images

    W Penny;K Friston;J Ashburner;S Kiebel

  • Spatial registration and normalization of images

    Karl. J. Friston;J. Ashburner;C. D. Frith;J.-B. Poline

  • Navigation-related structural change in the hippocampi of taxi drivers

    Eleanor A. Maguire;David G. Gadian;Ingrid S. Johnsrude;Catriona D. Good

  • How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging

    Jesper L.R. Andersson;Stefan Skare;John Ashburner

  • 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

  • Nonlinear spatial normalization using basis functions

    John Ashburner;Karl J. Friston

  • Cerebral asymmetry and the effects of sex and handedness on brain structure: a voxel-based morphometric analysis of 465 normal adult human brains.

    Catriona D. Good;Ingrid S. Johnsrude;John Ashburner;Richard N. A. Henson;Richard N. A. Henson

  • Automatic classification of MR scans in Alzheimer's disease

    Stefan Klöppel;Cynthia M. Stonnington;Carlton Chu;Bogdan Draganski

  • Multimodal Image Coregistration and Partitioning—A Unified Framework

    J Ashburner;K Friston

  • Modeling Geometric Deformations in EPI Time Series

    Jesper L.R. Andersson;Chloe Hutton;John Ashburner;Robert Turner

  • Why voxel-based morphometry should be used.

    John Ashburner;Karl J. Friston

  • Spatial normalization of brain images with focal lesions using cost function masking.

    Matthew Brett;Alexander P. Leff;Chris Rorden;John Ashburner

  • The first step for neuroimaging data analysis: DICOM to NIfTI conversion

    Xiangrui Li;Paul S. Morgan;John Ashburner;Jolinda Smith

  • Neurolinguistics: structural plasticity in the bilingual brain.

    Andrea Mechelli;Jenny T. Crinion;Uta Noppeney;John O'Doherty

  • Image Distortion Correction in fMRI: A Quantitative Evaluation

    Chloe Hutton;Andreas Bork;Oliver Josephs;Ralf Deichmann

  • Variational free energy and the Laplace approximation

    Karl J. Friston;Jérémie Mattout;Nelson J. Trujillo-Barreto;John Ashburner

  • Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution.

    Darren R. Gitelman;William D. Penny;John Ashburner;Karl J. Friston

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Richard S. J. Frackowiak
Richard S. J. Frackowiak École Polytechnique Fédérale de Lausanne
Bogdan Draganski
Bogdan Draganski University Hospital of Bern
Nikolaus Weiskopf
Nikolaus Weiskopf Max Planck Society
Cathy J. Price
Cathy J. Price University College London
Janaina Mourao-Miranda
Janaina Mourao-Miranda University College London
Antoine Lutti
Antoine Lutti University of Lausanne
Patrick Freund
Patrick Freund University of Zurich
Sebastien Ourselin
Sebastien Ourselin King's College London
Robert Turner
Robert Turner Max Planck Society

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