Researchfoundation modelsfmrineuroimagingself supervised
Omni-FMRI Introduces Atlas-Free Voxel Foundation Model
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Mo Wang et al. (arXiv, submitted Jan 30, 2026) present Omni‑fMRI, an atlas-free foundation model operating on voxel-level fMRI signals and pretrained on 49,497 sessions across nine datasets. The method introduces dynamic patching to cut computational cost while preserving spatial detail, and establishes an 11-dataset benchmark showing consistent gains over prior foundation models. Code and logs are provided.
Scoring Rationale
High novelty and strong scalability across large fMRI datasets, limited by preprint status and lack of peer-reviewed validation.
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