Patient-level burden regression on VALDO
1.1MAEMixMicrobleedNet
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MixMicrobleedNetGroup=Contextual reference2026.07 | 1.1 | 3.81 | 0.94 | |
| CenSynCMBGroup=Our Method2026.07 | 1.81 | 5.8 | 0.77 | |
| SHIVA-CMB v2Group=Contextual reference2026.07 | 1.96 | 7.44 | 0.67 | |
| FRST-style detectorGroup=Current methods2026.07 | 2 | 5.93 | 0.84 | |
| DynUNetGroup=Baseline2026.07 | 2.07 | 6.68 | 0.67 | |
| Kim-style detectorGroup=Current methods2026.07 | 2.17 | 6.32 | 0.78 | |
| Attention U-NetGroup=Baseline2026.07 | 2.28 | 6.91 | 0.62 | |
| Zihao VALDOGroup=VALDO methods2026.07 | 2.92 | 8.17 | 0.45 | |
| VISTA3DGroup=Baseline2026.07 | 3.11 | 8.28 | 0.48 | |
| SwinUNETRGroup=Baseline2026.07 | 3.4 | 8.75 | 0.39 | |
| Al-Masni-style detectorGroup=Current methods2026.07 | 3.94 | 8.65 | 0.32 |