FOMO45K: Brain MRI Dataset for Large Scale Self Supervised Learning with Clinical Data 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 FOMO45K containing ~45K brain MRI scans. This dataset is a subset of FOMO60K that 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. We also provide FOMO260K, a larger version with over 260K scans without co registration and skull stripping. Description FOMO45K 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 9,490 subjects 11,967 sessions 46,149 scans. For further details about the dataset, including the preprocessing, please consult the dataset paper preprint . The FOMO MRI Dataset Collection FOMO45K is one of four related datasets in the FOMO MRI collection. FOMO300K is the full superset; every other datase…
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