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BrainIAC linear-head fine-tunes -- Stroke classification (binary logit)
Description
BrainIAC ViT-3D foundation backbone ported to JAX / Equinox from the AIM-KannLab reference PyTorch implementation. The network is a ViT-B/16 with cubic 16x16x16 patches over a 96x96x96 single-channel input, pretrained with SimCLR on a large multi-cohort brain-MRI corpus. Built on monai.networks.nets.ViT with classification=False, so the architecture has no CLS token; the forward pass returns a 768-dimensional embedding read out from the first patch token after the global LayerNorm (matching upstream ViTBackboneNet.forward's features[0][:, 0]). Downstream heads consume this embedding (brain age, IDH classification, MR-sequence multiclass, OS regression, stroke detection, MCI classification, segmentation via UNETR); ilex v0 ships the backbone only.
Intended use
Stroke detection from a single T1w / DWI volume. out_features=1; sigmoid logit.
Usage
from ilex.models.brainiac import BrainIACClassifier
model = BrainIACClassifier.from_pretrained('ilex-hub/brainiac.stroke.1')
Authors
Tak D., Garomsa B. A., Zapaishchykova A., et al.
Citation
Tak D., Garomsa B. A., Zapaishchykova A., et al. (2026). A generalizable foundation model for analysis of human brain MRI. Nature Neuroscience. doi:10.1038/s41593-026-02202-6
References
- Tak D., Garomsa B. A., Zapaishchykova A., et al. (2026). A generalizable foundation model for analysis of human brain MRI. Nature Neuroscience. doi:10.1038/s41593-026-02202-6
License
HF Hub license tag: other
HF Hub license slug: brainiac-research-only
Effective terms: BrainIAC Research-Only License (c) 2026 Mass General Brigham. Permission is granted to use, copy, modify, and distribute the software and weights solely for non-commercial academic research and educational purposes. Commercial applications (products, services for a fee, clinical workflows, clinical decision support, healthcare operations) are expressly reserved and require separate written authorization from MGB. The ilex JAX / Equinox port code is separately licensed under Apache-2.0 / GPL-3.0 for the port code itself, but the ilex license does NOT override or re-license the upstream Research-Only terms governing the weights or the architecture; non-commercial use only continues to apply.
Upstream license reference: https://github.com/AIM-KannLab/BrainIAC/blob/main/LICENSE
Copyright
Network architecture, training code, and pretrained weights: copyright (c) 2026 Mass General Brigham, distributed under the BrainIAC Research-Only License (non-commercial academic research and educational use only; commercial rights expressly reserved -- see https://github.com/AIM-KannLab/BrainIAC/blob/main/LICENSE). JAX / Equinox port code: copyright (c) the ilex authors, released under the Apache-2.0 / GPL-3.0 dual license used by ilex itself. The ilex port's license covers only the original Equinox port code; it does NOT override, supersede, or re-license the upstream BrainIAC Research-Only License. The pretrained weights and the BrainIAC architecture (regardless of the JAX / Equinox re-expression here) remain governed by the upstream research-only terms; commercial use of either is expressly reserved by Mass General Brigham and requires separate written authorization from MGB.
Upstream source
Original weights / reference implementation: https://github.com/AIM-KannLab/BrainIAC
Provenance
This artefact was produced by ilex's
save/load pipeline. The architecture is implemented in
ilex.models.brainiac.BrainIACClassifier and the weights have been converted
from their upstream format. See the upstream source above
for the canonical reference.
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