# Sébastien Ourselin

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/sebastien-ourselin/

## Facts

| Field | Value |
| --- | --- |
| Citations | 69,629 |
| Field | Medical Image Segmentation Techniques |
| h-index | 119 |
| i10-index | 737 |
| Last Known Institution | King's College London |
| OpenAlex ID | https://openalex.org/A5082106258 |
| ORCID iD | https://orcid.org/0000-0002-5694-5340 |
| Works | 1,782 |

## Researcher papers

- [Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study](https://scholariq.org/papers/risk-of-covid-19-among-front-line-health-care-workers-and-the-general-community/)
- [Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference](https://scholariq.org/papers/uncovering-the-heterogeneity-and-temporal-complexity-of-neurodegenerative/)
- [Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study](https://scholariq.org/papers/structural-brain-abnormalities-in-the-common-epilepsies-assessed-in-a-worldwide/)
- [A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data](https://scholariq.org/papers/a-three-dimensional-histological-and-deformable-atlas-of-the-human-basal-ganglia/)
- [Diet quality and risk and severity of COVID-19: a prospective cohort study](https://scholariq.org/papers/diet-quality-and-risk-and-severity-of-covid-19-a-prospective-cohort-study/)
- [Modest effects of dietary supplements during the COVID-19 pandemic: insights from 445 850 users of the COVID-19 Symptom Study app](https://scholariq.org/papers/modest-effects-of-dietary-supplements-during-the-covid-19-pandemic-insights-from/)

## Researcher topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Advanced MRI Techniques and Applications](https://scholariq.org/topics/advanced-mri-techniques-and-applications/)
- [Advanced Neuroimaging Techniques and Applications](https://scholariq.org/topics/advanced-neuroimaging-techniques-and-applications/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Researcher university

- [King's College London](https://scholariq.org/institutions/king-s-college-london/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.