# The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-uk-biobank-imaging-enhancement-of-100-000-participants-rationale-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thomas J. Littlejohns,Jo Holliday,Lorna M Gibson,Steve Garratt,Niels Oesingmann,Fidel Alfaro‐Almagro,Jimmy D. Bell,Chris Boultwood,Rory Collins,Megan Conroy,Nicola Crabtree,Nicola Doherty,Alejandro F. Frangi,Nicholas C. Harvey,Paul Leeson,Karla L. Miller,Stefan Neubauer,Steffen E. Petersen,Jonathan Sellors,Simon Sheard,Stephen M. Smith,Cathie Sudlow,Paul M. Matthews,Naomi E. Allen |
| Citations | 854 |
| DOI | 10.1038/s41467-020-15948-9 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41467-020-15948-9.pdf |
| OpenAlex ID | https://openalex.org/W3032464132 |
| PMID | 32457287 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Steffen E. Petersen](https://scholariq.org/researchers/steffen-e-petersen/)
- [Stefan Neubauer](https://scholariq.org/researchers/stefan-neubauer/)

## Paper journal

- [Nature Communications](https://scholariq.org/journals/nature-communications/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Molecular Biology Techniques and Applications](https://scholariq.org/topics/molecular-biology-techniques-and-applications/)

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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.