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scalesurfer-stats-v7
rphammonds/scalesurfer-stats-v7
scalesurfer-stats-v7 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
- b2436ae0
Model card
From the Hugging Face model README
ScaleSurfer FreeSurfer v7 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 | 113 | 12321 | 0.45587876439194475 | 7.503098487854004 |
| global | 64 | 5638 | 0.1726450031340259 | 1.3967947363853455 |
| lh_aparc | 306 | 33914 | 0.4840144798817026 | 8.386276721954346 |
| rh_aparc | 306 | 33912 | 0.49182673176802866 | 8.2892165184021 |
Loading
from scalesurfer.stats import ScaleSurferStatsPredictor
predictor = ScaleSurferStatsPredictor.from_pretrained(7)
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