BrainAge SFCN — Dual-Branch Brain Age Predictor
3D SFCN + tabular MLP trained on 6,050 healthy T1w brain MRIs (0–86 years).
Checkpoints
| File | Description |
|---|---|
brainage_sfcn.pt |
Phase A: lifespan pretraining (all ages) |
brainage_sfcn_finetune.pt |
Phase B: fine-tuned for pediatric (0–25 y) |
Training data
bilalahmad176176/BrainAge-Golden-Preprocessed
Architecture
- Image: SFCN (Peng 2021), ~3M params, input 128×144×112
- Tabular: MLP over 86-dim vector (70 regions + sex + site)
- Fusion: concat → 64 → 1 (regression in years)
- Loss: HuberLoss(delta=3.0)
- Training: fp16 mixed precision, cosine LR, age-bin weighted sampler
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