Sex Classification on HCP-A and HCP-D
76Accuracy3D ResNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| 3D ResNetFeatures=FA and MD maps, Prediction Head=MLP, Supervision=Full2026.03 | 76 | 0.83 | |
| dMRI TransformerFeatures=Frozen latent, Prediction Head=Linear, Supervision=Head2026.03 | 74.6 | 0.82 | |
| HC FeaturesFeatures=Tract FA, MD, Prediction Head=Linear, Supervision=Full2026.03 | 70.9 | 0.77 | |
| dMRI TransformerFeatures=Last layer finetuned, Prediction Head=MLP, Supervision=Partial2026.03 | 69.6 | 0.77 | |
| D-RoPEFeatures=FA and MD maps, Prediction Head=MLP, Supervision=Full2026.03 | 65.4 | 0.72 | |
| D-RoPEFeatures=Raw dMRI, Prediction Head=MLP, Supervision=Full2026.03 | 65.1 | 0.71 | |
| HC FeaturesFeatures=Tract based RISH, Prediction Head=MLP, Supervision=Full2026.03 | 61.7 | 0.67 | |
| dMRI TransformerFeatures=Frozen latent, Prediction Head=MLP, Supervision=Head2026.03 | 59.3 | 0.64 | |
| HC FeaturesFeatures=Tract FA, MD, Prediction Head=MLP, Supervision=Full2026.03 | 56.9 | 0.59 |