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Datasets:
FOMO-MRI
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FOMO50K

Tasks:
Image Feature Extraction
Zero-Shot Classification
Modalities:
3D
Image
Size:
10K<n<100K
ArXiv:
Tags:
brain
mri
ssl
foundation_model
3d
image
License:
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metadata 
license: other
license_name: license
tags:
  - brain
  - mri
  - ssl
  - foundation_model
  - 3d
  - image
pretty_name: FOMO50K
size_categories:
  - 10K<n<100K
task_categories:
  - image-feature-extraction
  - zero-shot-classification
viewer: false
extra_gated_prompt: >

  This collection of datasets is released under the Creative Commons
  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
  license. Each individual dataset within the collection retains its original
  license, which is reported in the corresponding dataset folder. Some datasets
  are additionally subject to Data Use Agreements (DUAs), which are reported
  below and in the relevant dataset folders. Users must comply with the
  applicable license terms and any associated DUAs.


  You are free to:

  Share — copy and redistribute the material in any medium or format

  Adapt — remix, transform, and build upon the material

  The licensor cannot revoke these freedoms as long as you follow the license
  terms.


  Under the following terms:

  Attribution — You must give appropriate credit, provide a link to the license,
  and indicate if changes were made. You may do so in any reasonable manner, but
  not in any way that suggests the licensor endorses you or your use.

  NonCommercial — You may not use the material for commercial purposes.

  ShareAlike — If you remix, transform, or build upon the material, you must
  distribute your contributions under the same license as the original.

  No additional restrictions — You may not apply legal terms or technological
  measures that legally restrict others from doing anything the license permits.


  Notices:

  You do not have to comply with the license for elements of the material in the
  public domain or where your use is permitted by an applicable exception or
  limitation.


  No warranties are given. The license may not give you all of the permissions
  necessary for your intended use. For example, other rights such as publicity,
  privacy, or moral rights may limit how you use the material.


  Full license: https://creativecommons.org/licenses/by-nc-sa/4.0/


  DUAs:


  OASIS Data Use Agreement


  The OASIS data are distributed to the greater scientific community under the
  following terms:

  1. User will not use the OASIS datasets, either alone or in concert with any
  other information, to make any effort to identify or contact individuals who
  are or may be the sources of the information in the dataset. If User
  inadvertently receives identifiable information or otherwise identifies a
  subject, User will immediately notify OASIS and follow OASISs reasonable
  written instructions, which may include the return or destruction of
  identifiable information.

  2. User is strictly prohibited from generating or using images or comparable
  representations of the face, head, or body for facial recognition,
  re-identification, or other purposes that could allow the identities of
  research participants to be readily ascertained.

  3. User will not use or further disclose the OASIS-3 or OASIS-4 except as
  required by law. User shall not share, distribute, or otherwise make available
  the OASIS data, in whole or in part, to any third party, including
  collaborators, without prior written permission from OASIS. All collaborators
  must independently apply for access and agree to these terms. Additionally,
  User will not use or further disclose any derivative works or derivative data
  of the OASIS datasets, in any case in whole or in part, that could be used to
  reconstruct a facial image. User shall report to OASIS immediately upon Users
  discovery of any unauthorized use or disclosure not permitted by this Data Use
  Agreement. User shall provide the following information: (1) the nature of the
  use or disclosure; (2) the information used or disclosed; (3) the identity of
  the persons and/or entities that made the use or disclosure; and (4) what
  corrective action will be taken by User as a result of the use or disclosure.
  User shall take any other reasonable actions available to it to mitigate any
  detrimental effects of the use or disclosure.

  4. User agrees to implement appropriate administrative, physical, and
  technical safeguards to protect the OASIS data from unauthorized access, use
  or disclosure. OASIS data must be stored on secure, access-controlled systems,
  and only the User authorized under this Data Use Agreement may access the
  data.

  5. OASIS data are provided for non-commercial, academic research purposes
  only. Any commercial use, including but not limited to the sale of data or
  commercial consulting, is strictly prohibited without explicit, prior written
  authorization from OASIS.

  6. User agrees to retain OASIS data only for as long as necessary to fulfill
  the research purposes described in Users application. Upon completion of the
  research or upon request by OASIS, User will securely destroy or return all
  copies of the data.

  7. User will acknowledge the use of OASIS data and data derived from OASIS
  data when publicly presenting any results or algorithms that benefitted from
  their use. Papers, book chapters, books, posters, oral presentations, and all
  other printed

  and digital presentations of results derived from OASIS data should contain
  the following: 
      - Acknowledgments: Data were provided [in part] by OASIS [insert appropriate OASIS source info]
          (a) OASIS-1: Cross-Sectional: Principal Investigators: D. Marcus, R, Buckner, J, Csernansky J. Morris; P50 AG05681, P01 AG03991, P01 AG026276, R01 AG021910, P20 MH071616, U24 RR021382
          (b) OASIS-2: Longitudinal: Principal Investigators: D. Marcus, R, Buckner, J. Csernansky, J. Morris; P50 AG05681, P01 AG03991, P01 AG026276, R01 AG021910, P20 MH071616, U24 RR021382
          (c) OASIS-3: Longitudinal Multimodal Neuroimaging: Principal Investigators: T. Benzinger, D. Marcus, J. Morris; NIH P30 AG066444, P50 AG00561, P30 NS09857781, P01 AG026276, P01 AG003991, R01 AG043434, UL1 TR000448, R01 EB009352. AV-45 doses were provided by Avid Radiopharmaceuticals, a wholly owned subsidiary of Eli Lilly.
          (d) OASIS-3_AV1451: Principal Investigators: T. Benzinger, J. Morris; NIH P30 AG066444, AW00006993. AV-1451 doses were provided by Avid Radiopharmaceuticals, a wholly owned subsidiary of Eli Lilly.
          (e) OASIS-4: Clinical Cohort: Principal Investigators: T. Benzinger, L. Koenig, P. LaMontagne
      - Citation: The specific publications that are appropriate to cite in any given study will depend on what OASIS data were used and for what purposes. An annotated and current list of OASIS publications is available at http://www.oasis- brains.org.
          (a) OASIS-1: Cross-Sectional: https://doi.org/10.1162/jocn.2007.19.9.1498
          (b) OASIS-2: Longitudinal: https://doi.org/10.1162/jocn.2009.21407
          (c) OASIS-3: Longitudinal Multimodal Neuroimaging: https://doi.org/10.1101/2019.12.13.19014902
          (d) OASIS-4: Clinical Cohort: https://doi.org/10.1016/j.nicl.2020.102248
      - All proposed publications or presentations using Florbetapir F18 (AV45) or Flortaucipir F18 (AV1451) PET data must be submitted to Avid Radiopharmaceuticals for review and comment thirty days prior to such presentation or publication for review of intellectual property interests. See Imaging data dictionary for contact information and details.
  8. User agree to provide the Knight ADRC with information on Users use of
  OASIS data, upon request.

  9. Failure to abide by these data use terms may result in termination of your
  right to access and use OASIS data. In the event of breach of this Data Use
  Agreement, OASIS reserves the right to pursue all remedies available at law or
  in equity, including but not limited to termination of access, notification of
  the Users institution, and legal action.
    
  By requesting access, you agree to the above terms.
extra_gated_fields:
  I agree to these terms: checkbox
  Name: text
  Email: text

FOMO50K: Brain MRI Dataset for Large-Scale Self-Supervised Learning with Clinical Data

fomo60k

Dataset paper preprint: A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.
https://arxiv.org/pdf/2506.14432.

This repo contains FOMO50K containing 50K brain MRI scans. This dataset was released as FOMO60K and formed the basis for the FOMO25: Foundation Model Challenge for Brain MRI hosted at MICCAI 2025.

See fomo25.github.io and this paper for more information about the challenge.

New: We also provide FOMO300K, a larger version with over 300K scans without co-registration and skull-stripping.

Updates 

  April 3 2026: FOMO60K is now FOMO50K. MGH-Wild has changed license and is no longer part of the dataset. Instructions how how to reproduce FOMO60K will be updated soon.

Description

FOMO50K 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

  • 10,052 subjects
  • 12,765 sessions
  • 49,193 scans.

For further details about the dataset, including the preprocessing, please consult the dataset paper preprint.

Format

All data is provided as NIfTI-files. The dataset is provided as a collection of datasets, each within its own folder PTXYZ_DatasetName (e.g., PT001_OASIS1). All data has been standardized and preprocessed (including skull stripped, RAS reoriented, co-registered) with the following format:

-- PT001_OASIS1
   |-- sub_52
       |-- ses_1
           |-- t1.nii.gz
-- PT002_OASIS2
   |-- sub_27
       |-- ses_1
           |-- 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: OASIS1, OASIS2, BraTS-GEN, MSD-BrainTumor, IXI, NKI, SOOP, NIMH, DLBS, IDEAS, ARC, MBSR, UCLA, QTAB, AOMIC ID1000.

Metadata Files

The dataset includes the following metadata files, available both in the main folder and in each individual dataset folder:

  • participants.tsv: Contains demographic and clinical information including age, gender, handedness, and subject group (e.g., control, specific diagnosis)
  • mapping.tsv: Links the files in FOMO50K to the original data source scans
  • mri_info.tsv: Includes MRI acquisition information

Additionally, the main folder contains:

  • FOMO50K_300K_mapping.tsv: Maps the files that are present in both the 50K and 300K versions of the dataset

Citation

Users must cite the following paper when using the FOMO50K dataset:

@article{Cerri2026large,
  title={A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning},
  author={Cerri, Stefano and Munk, Asbj{\o}rn and Llambias, Sebastian N{\o}rgaard and Ambsdorf, Jakob and Machnio, Julia and Nersesjan, Vardan and Hedeager Krag, Christian and Liu, Peirong and Rocamora Garc{\'\i}a, Pablo and Mehdipour Ghazi, Mostafa and Boesen, Mikael and Benros, Michael Eriksen and Iglesias, Juan Eugenio and Nielsen, Mads},
  journal={arXiv preprint arXiv:2506.14432},
  year={2026},
  url={https://arxiv.org/abs/2506.14432}
}

In addition, users must comply with all attribution requirements of the constituent datasets included in FOMO50K, as specified in the Usage Notes of the paper.