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scalesurfer-stats-v8
rphammonds/scalesurfer-stats-v8
scalesurfer-stats-v8 is a tabular regression model from rphammonds. Use it for the tabular regression task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
This repository contains a ScaleSurfer multi-head model for predicting FreeSurfer-style .stats targets from a T1w image and an aparc+aseg segmentation.
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.safetensors770 MB · 100%
At a glance
- Task
- Tabular Regression
- Library
- pytorch
- Model type
- scalesurfer-stats-prediction
- Access
- Public
- Created
- Jun 10, 2026
- Updated
- Jul 8, 2026
- SHA
- c6e2d335
Model card
From the Hugging Face model README
ScaleSurfer FreeSurfer v8 Stats Prediction Model
This repository contains a ScaleSurfer multi-head model for predicting FreeSurfer-style .stats targets from a T1w image and an aparc+aseg segmentation.
Files
stats_model.safetensors: model weights and inference metadata in safetensors format.config.json: architecture and feature-schema metadata needed byScaleSurferStatsPredictor.metadata.json: checksums and training/evaluation metadata.summary.csv,history.csv,target_metrics.csv: copied training diagnostics.
Test Summary
| Group | Targets | Values | Normalized MAE | Median absolute percent error |
|---|---|---|---|---|
| aseg | 116 | 4734 | 0.684679242208474 | 8.691529750823975 |
| global | 22 | 1056 | 0.22105189112798226 | 1.9054512977600098 |
| lh_aparc | 306 | 10404 | 0.4361358032305286 | 7.891855001449585 |
| rh_aparc | 306 | 10404 | 0.44021236654629725 | 7.936147093772888 |
Loading
from scalesurfer.stats import ScaleSurferStatsPredictor
predictor = ScaleSurferStatsPredictor.from_pretrained(8)
features = predictor.predict_subjects(subjects_dir, subjects, return_format="wide")
This model is intended for research workflows and is not a clinical diagnostic device.
- Task
- Tabular Regression
- Library
- pytorch
- Type
- scalesurfer-stats-prediction
- Created
- Jun 10, 2026
- Updated
- Jul 8, 2026