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

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 for more information about the challenge.

Please be aware that usage of the dataset is subject to a Data Usage Agreement and a 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.

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.