Tau-progression forecasting on OASIS3 cross-cohort robustness (test)
1.35Mean Absolute Error (MAE)Ozdemir et al.
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Ozdemir et al.Type=Graph learning2026.06 | 1.35 | 0.27 | 0.31 | 61 | 0.07 | 1.45 | |
| Giorgio et al.Type=Machine Learning2026.06 | 1.39 | 0.08 | 0.1 | 62 | 0.07 | 1.46 | |
| Ren et al.Type=Graph Learning2026.06 | 1.59 | 0.13 | 0.2 | 73 | 0.07 | 1.67 | |
| Karlsson et al.Type=Machine Learning2026.06 | 1.64 | 0.22 | 0.25 | 67 | -0.13 | 1.71 | |
| Tekkesinoglu et al.Type=Graph learning2026.06 | 1.81 | -0.02 | -0.06 | 51 | -0.33 | 1.91 | |
| Rathore et al.Type=Machine Learning2026.06 | 1.85 | 0.4 | 0.16 | 63 | 0.07 | 1.9 | |
| BN-LTE + ATN-Z tau-freeType=Ours2026.06 | 2.25 | 0.25 | 0.23 | 36 | 0.12 | 2.25 | |
| BN-LTEType=Ours2026.06 | 2.28 | 0.25 | 0.21 | 34 | 0.08 | 2.2 | |
| BN-LTE + PCA-ZType=Ours2026.06 | 2.3 | 0.27 | 0.23 | 27 | 0.24 | 2.3 | |
| Raj et al.Type=Biophysical2026.06 | 3.05 | 0.02 | 0.05 | 22 | 0.32 | 3.39 | |
| Iturria-Medina et al.Type=Biophysical2026.06 | 3.05 | 0.02 | 0.05 | 22 | 0.32 | 3.39 | |
| Schafer et al.Type=Bayesian/Biophysical2026.06 | 3.05 | 0.02 | 0.05 | 22 | 0.32 | 3.39 | |
| Nguyen et al.Type=Deep learning2026.06 | 5.92 | 0.21 | -0.05 | 66 | -0.13 | 3.72 | |
| Jasodanand et al.Type=Deep learning2026.06 | 6.66 | -0.33 | 0.07 | 47 | -0.2 | 3.07 | |
| Tabarestani et al.Type=Deep learning2026.06 | 8.92 | 0.16 | 0.29 | 66 | 0.07 | 5.72 |