Add dataset card / README

README.md

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+---
+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
+
+```bash
+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.