MMSE Score Prediction on MMSE M36
2.28RMSEGB-MTL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GB-MTLModalities=Volume, PET, CS, Demo, CSF2026.06 | 2.28 | — | |
| Deep-RNNModalities=Volume, CS, Demo2026.06 | 2.411 | — | |
| ST-LSTMModalities=Volume, CSF, PET, CS, Demo2026.06 | 2.71 | — | |
| GNOVAModalities=Demo,CS, Input configuration=Input 0,12026.06 | 2.84 | 1.883 | |
| FCNNModalities=Volume, CSF, PET, CS, Demo2026.06 | 2.87 | — | |
| MFSE-DRNModalities=sMRI, CS, Demo, Others2026.06 | 3.02 | 2.03 | |
| GNOVAModalities=Demo,CS, Input configuration=Input 02026.06 | 3.28 | 2.191 | |
| IndRNNModalities=MRI, CS2026.06 | — | 1.56 | |
| SVRModalities=MRI, CS2026.06 | — | 1.756 |