# A labeled Clinical-MRI dataset of Nigerian brains

arXiv: https://arxiv.org/abs/2311.04425 · HTML: https://mlsanity.com/paper/2311.04425/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Nov 2023.

## Built on by (most cited first, 4 of 4)

- [A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning](https://mlsanity.com/paper/2506.14432/) (2025)
- [Do Medical Foundation Models Generalize on the African Brain?](https://mlsanity.com/paper/2607.28771/) (2026)
- [Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space](https://mlsanity.com/paper/2603.14125/) (2026)
- [Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI](https://mlsanity.com/paper/2609.23983/) (2026)

## Abstract (arXiv)

We describe a Magnetic Resonance Imaging (MRI) dataset from individuals from the African nation of Nigeria. The dataset contains pseudonymized structural MRI (T1w, T2w, FLAIR) data of clinical quality. The dataset contains data from 36 images from healthy control subjects, 32 images from individuals diagnosed with age-related dementia and 20 from individuals with Parkinson's disease. There is currently a paucity of data from the African continent. Given the potential for Africa to contribute to the global neuroscience community, this first MRI dataset represents both an opportunity and benchmark for future studies to share data from the African continent.