MindGrab (BrainChop MeshNet)

MindGrab is a MeshNet-based skull-stripping model from the BrainChop project. It takes 256^3 conformed T1 volumes and produces a binary brain mask. The checkpoint runs entirely in tinygrad and powers the in-browser BrainChop demos (WebGPU/WebGL).

Reference

If you use MindGrab in academic work, please cite the Hugging Face Papers entry 2506.11860, which documents this release and its evaluation context.

Files

File	Description
model.json	MeshNet architecture definition (in/out channels, kernel sizes, bias, dropout flags).
layers.json	Optional Layer configs
model.pth	FP32 PyTorch checkpoint

Optionally, you can also run the model through the official frontend at brainchop.org under the name "🪓🧠 omnimodal Skull Stripping"

Usage

uv pip install hf brainchop

from pathlib import Path

from huggingface_hub import hf_hub_download
from brainchop import load, save, api

model_dir = Path(hf_hub_download("neuroneural/mindgrab", "model.json")).parent
hf_hub_download(repo_id, "model.pth")

vol = load("t1_crop.nii.gz")
mask = api.segment(vol, str(model_dir))
save(mask, "mindgrab_mask.nii.gz")