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scalesurfer-stats-v6
rphammonds/scalesurfer-stats-v6
scalesurfer-stats-v6 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
- 41436d8b
Model card
From the Hugging Face model README
ScaleSurfer FreeSurfer v6 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 | 22311 | 0.3919653041731878 | 6.885092735290527 |
| global | 62 | 9232 | 0.18882636669453873 | 2.3171700835227966 |
| lh_aparc | 306 | 61506 | 0.385072138514816 | 6.9706995487213135 |
| rh_aparc | 306 | 61504 | 0.38465992092747486 | 7.11681056022644 |
Loading
from scalesurfer.stats import ScaleSurferStatsPredictor
predictor = ScaleSurferStatsPredictor.from_pretrained(6)
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