license: other
tags:
- alzheimer
- oasis-1
- structural-mri
- multimodal
- dementia-staging
pretty_name: TriFuse-AD OASIS-1 Three-Stage Dementia Staging
TriFuse-AD: Honest Multimodal Benchmark for Three-Stage Dementia Staging on OASIS-1
Code, processed data, results, and paper for a leakage-free benchmark of three-stage cognitive classification (CN / VMD / AD) on the OASIS-1 cross-sectional cohort, plus the proposed TriFuse-AD model (tri-planar CNN + slice-plane Transformer + gated demographic fusion).
Key result (honest / negative)
On an age-restricted cohort (≥60, 198 subjects) with subject-level repeated 5-fold CV (3 seeds, 15 runs/model), no MRI-only network beats a plain tabular XGBoost (Macro-F1 0.474), and TriFuse-AD (0.488 ± 0.066) does not significantly beat a trivial DenseNet late-concat baseline (0.497 ± 0.062; paired permutation p = 0.55). A no-MRI structured model reaches Macro-F1 0.480 — most recoverable signal is morphometric/demographic, not learned from raw voxels. No clinical / diagnostic / SOTA / MCI / cross-site claims.
Repository layout
| Path | Contents |
|---|---|
src/ |
trifuse package: data, models, training, eval, analysis |
scripts/ |
experiment runner, table/figure/interpretability builders |
configs/ |
model configs |
results/ |
per-model OOF preds, summaries, tables, 27 figures |
paper/trifuse_ad.md |
full paper draft |
data_processed.zip |
preprocessed 2.5D + 3D arrays + subjects_clean.csv (1.5 GB) |
data/raw/*.tar.gz |
OASIS-1 cross-sectional discs 1–12 (16 GB) |
Reproducing
pip install -r requirements # torch cu128, timm, monai, nibabel, xgboost, sklearn, ...
unzip data_processed.zip # -> data/processed_2d, processed_3d, metadata
python scripts/run_experiments.py --grid main # 11 models x 15 runs
python scripts/run_experiments.py --grid ablation # 6 variants
python scripts/make_tables.py && python scripts/make_figures.py
Cohort
OASIS-1, age≥60 → 198 subjects (CN=98, VMD=70, AD=30). Labels from CDR (0→CN,
0.5→VMD, ≥1→AD). CDR and MMSE are never model inputs (label leakage). One volume
per subject (*_111_t88_masked_gfc).
License / data use
The data/raw/ tarballs are the original OASIS-1 cross-sectional release
(Marcus et al., 2007), redistributed here for reproducibility. OASIS data are subject
to the OASIS data-use terms; if you use them, cite the OASIS project and comply with
their agreement. Code and derived results in this repo are provided for research use.