John Ashburner
neuroimaging researcher
Facts
11 properties- Instance of
- human
- Date of birth
- 2000
- Occupation
- researcher
- Employer
- University College London[3]
- Official website
- www.fil.ion.ucl.ac.uk, iris.ucl.ac.uk[10][11]
- Affiliation
- The Wellcome Centre for Human Neuroimaging (1995–present)[12]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en J Ashburner
en John Ashburner
da Ashburner J
🔖 Identifiers · 14
- ORCID iD
- 0000-0001-7605-2518
- VIAF cluster ID
- 283605179
- OpenAlex ID
- A5029410349as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 20/3439
- Dimensions author ID
- 01074113461.09
- GitHub account
- JohnAshburner
- Google Scholar author ID
- UWi2lukAAAAJ
- IdRef ID
- 18399597X
- LinkedIn personal profile ID
- john-ashburner-9874834
- Publons author ID
- 2621514
- ResearcherID
- I-3757-2013
- Scopus author ID
- 7004536701
Show all 14 identifiers +2
- Semantic Scholar author ID
- 3985221
- Springer Nature person ID
- 01074113461.09
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 23
A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models,
A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methods,
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets,
An algorithm for learning shape and appearance models without annotations,
A Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration,
Correcting inter‐scan motion artifacts in quantitative <i>R</i><sub>1</sub> mapping at 7T,
Embodied neurology: an integrative framework for neurological disorders,
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
+15 more
← Authored by 23
A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models,
A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methods,
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets,
An algorithm for learning shape and appearance models without annotations,
A Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration,
Correcting inter‐scan motion artifacts in quantitative <i>R</i><sub>1</sub> mapping at 7T,
Embodied neurology: an integrative framework for neurological disorders,
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
+15 more
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Summary
John Ashburner was born in 2000[1]. He worked as a researcher[2].
Body
Education
Educated at University College London[4], a university college[13], in United Kingdom[14], founded in 1826[15], headquartered in UCL Main Building[16]; Aston University[5], a public university[17], in United Kingdom[18], founded in 1895[19], headquartered in Birmingham[20]; and University of Leeds[6], a public research university[21], in United Kingdom[22], founded in 1904[23], headquartered in Leeds[24].
FAQs
What did John Ashburner do for work?
John Ashburner worked as researcher[2].
Where did John Ashburner go to school?
John Ashburner was educated at University College London[4], Aston University[5], and University of Leeds[6].