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ilex-hub/fsm_seg.hypothalamic_subunits.1
fsm_seg.hypothalamic_subunits.1 is a machine learning model from ilex-hub. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for ilex. The card lists the license as other.
A small 3-level neurite UNet shared by five FreeSurfer segmentation tools, ported to JAX / Equinox from the FreeSurfer bundled reference implementations. The architecture is a compact variant of the SynthSeg / SynthSR…
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From the Hugging Face model README
A small 3-level neurite UNet shared by five FreeSurfer segmentation tools, ported to JAX / Equinox from the FreeSurfer bundled reference implementations. The architecture is a compact variant of the SynthSeg / SynthSR UNet body (nb_features=24, nb_levels=3, conv_size=3, feat_mult=2, nb_conv_per_level=2, per-level BatchNorm, ELU activation, 1-channel T1 input, softmax head). Five published variants share this architecture exactly; they differ only in the number of output labels and in the recommended inference field of view. The variant id is recorded in the bundle's card, so loading by repo id selects the appropriate weights without changing the JAX class.
Segmentation of the hypothalamus and its anterior, tuberal, and posterior subunits from a single T1w volume conformed to a 160 mm cube FoV.
from ilex.models.fsm_seg import FSMSeg
model = FSMSeg.from_pretrained('ilex-hub/fsm_seg.hypothalamic_subunits.1')
Greve D. N., Billot B., Cordero-Grande L., Van Leemput K., Fischl B., Iglesias J. E.; with substantial overlap across variants -- per-variant first authors are listed under references.
Per variant. sclimbic: Greve D. N., Billot B., Cordero-Grande L., et al. (2021). NeuroImage 244:118610. doi:10.1016/j.neuroimage.2021.118610. hypothalamic_subunits: Billot B., Bocchetta M., Todd E., Dalca A. V., Rohrer J. D., Iglesias J. E. (2020). NeuroImage 223:117287. doi:10.1016/j.neuroimage.2020.117287. entowm, mca-dura, vsinus: FreeSurfer 8.x release notes (no separate primary publications).
HF Hub license tag: other
HF Hub license slug: freesurfer-software-license
Effective terms: FreeSurfer Software License: academic / non-commercial use only. Pending explicit upstream confirmation that re-hosting on HF Hub is acceptable. Resolve before flipping published: true.
Upstream license reference: https://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferSoftwareLicense
Network architectures, training code, and pretrained weights: copyright (c) the respective upstream authors, distributed as part of the FreeSurfer software bundle under the FreeSurfer Software License (FSLA; permissive academic / non-commercial research offering). See https://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferSoftwareLicense for the binding terms. JAX / Equinox port code: copyright (c) the ilex authors, released under the Apache-2.0 / GPL-3.0 dual license used by ilex itself.
Original weights / reference implementation: https://surfer.nmr.mgh.harvard.edu/
This artefact was produced by ilex's
save/load pipeline. The architecture is implemented in
ilex.models.fsm_seg.FSMSeg and the weights have been converted
from their upstream format. See the upstream source above
for the canonical reference.