A labeled Clinical-MRI dataset of Nigerian brains
Not on the map. Why?
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Nov 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 1; 2026: 3.
4 papers.
- 2025A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learningcited by 7
- 2026Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Spacecited by 0
- 2026Do Medical Foundation Models Generalize on the African Brain?cited by 0
- 2026Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRIcited by 0
- 2026Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI21 Sep 2026
- 2026Do Medical Foundation Models Generalize on the African Brain?30 Jul 2026
- 2026Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space14 Mar 2026
- 2025A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning17 Jun 2025