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synT1CE-identity-baseline
krohn/synT1CE-identity-baseline
synT1CE-identity-baseline is a machine learning model from krohn. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the results of the Identity baseline for the synthesis of T1CE MRI from T1n (BraTS-MEN dataset).
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Public
Updated Jul 6, 2026
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At a glance
- Access
- Public
- Created
- Jul 6, 2026
- Updated
- Jul 6, 2026
- SHA
- 53f1e5d4
Model card
From the Hugging Face model README
synT1CE - Identity Baseline (T1n → T1CE)
This repository contains the results of the Identity baseline for the synthesis of T1CE MRI from T1n (BraTS-MEN dataset).
Tier 1 Metrics (Global)
- SSIM (All): 0.7672
- PSNR (All): 17.97
- MAE (All): 0.5525
Tier 2 Metrics (Expert)
- EVarΔ: 0.0000
- Wasserstein d_W: 0.5688
- Multimodality L1: None
Repository Content
metrics_summary.json: Structured performance summary.splits.csv: List of patients used for training, validation, and testing.visualizations/: Folder containing the final montage and axial slice examples (T1n, GT, Synthesis, Error Map).baseline0_identity.zip: Full archive of the results.
Interpretation
In this baseline, the T1n input is used directly as the prediction for the T1CE. An EVarΔ of 0.0 confirms the total failure to capture the dynamic contrast enhancement of the tumor, serving as a lower bound for subsequent models.
- Created
- Jul 6, 2026
- Updated
- Jul 6, 2026