---
license: other
license_name: fomodataset
license_link: https://fomo25.github.io/dua
tags:
- brain
- mri
- ssl
- foundation_model
- 3d
- image
pretty_name: fomo-60k
size_categories:
- 10K<n<100K
task_categories:
- image-feature-extraction
- zero-shot-classification
---


# FOMO-60K: Brain MRI Dataset for Large-Scale Self-Supervised Learning with Clinical Data


![image/png](https://cdn-uploads.huggingface.co/production/uploads/67eb833b5efb3c1d5e15a7ff/E2yLGx55VfethajaEzp1i.png)


_Dataset paper preprint:_ **A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning**.<br/>
[https://arxiv.org/pdf/2506.14432](https://arxiv.org/pdf/2506.14432).

This repo contains FOMO-60K, a large-scale dataset which includes MRIs from the clinic, containing 60K+ brain MRI scans.
This dataset is released in conjunction with the **FOMO25: Foundation Model Challenge for Brain MRI** hosted at **MICCAI 2025**.

See [fomo25.github.io](https://fomo25.github.io) for more information about the challenge.

Please be aware that usage of the dataset is subject to a [Data Usage Agreement](https://fomo25.github.io/dua) and a [Citation Policy](https://fomo25.github.io/citation-policy).

## Description

FOMO-60K is a large-scale dataset of brain MRI scans, including both clinical and research-grade scans. The dataset includes a wide range of sequences, including _T1, MPRAGE, T2, T2*, FLAIR, SWI, T1c, PD, DWI, ADC, and more_.

The dataset consists of
- 11,187 subjects
- 13,900 sessions
- 60,529 scans.

_For further details about the dataset, including the preprocessing, please consult the [dataset paper preprint](https://arxiv.org/pdf/2506.14432)_.

## Format

All data is provided as NIfTI-files. The dataset format is provided as one large standardized, preprocessed (including skull stripped, RAS reoriented, co-registered) dataset with the following format:

```
-- fomo-60k
   |-- sub_01
      |-- ses_01
          |-- t1.nii.gz
```
Sessions with multiple scans of the same sequence are named `sequence_x.nii.gz`. Sessions where the sequence information was not available are named `scan_x.nii.gz`.

The dataset has been collected from the following public sources: OASIS, BraTS, MSD, IXI, MGH Wild, NKI, SOOP, NIMH, DLBS, IDEAS, ARC, MBSR, UCLA, QTAB, AOMIC ID1000.