# Accurate brain‐age models for routine clinical MRI examinations

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/accurate-brain-age-models-for-routine-clinical-mri-examinations/

## Facts

| Field | Value |
| --- | --- |
| Author Names | David Wood,Sina Kafiabadi,Ayisha Al Busaidi,Emily Guilhem,Antanas Montvila,Jeremy Lynch,Matthew Townend,Siddharth Agarwal,Asif Mazumder,Gareth J. Barker,Sébastien Ourselin,James H. Cole,Thomas C. Booth |
| Citations | 131 |
| DOI | 10.1016/j.neuroimage.2022.118871 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1053811922000015/pdf |
| OpenAlex ID | https://openalex.org/W4206370218 |
| PMID | 34995797 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Thomas C. Booth](https://scholariq.org/researchers/thomas-c-booth/)

## Paper journal

- [NeuroImage](https://scholariq.org/journals/neuroimage/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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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.