UKB
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multimodal Classification | UKB | AUROC0.8054 | 21 | |
| Cardiac phenotype prediction | UKB dataset (test) | LVEDV MAE9.97 | 17 | |
| Brain Network Classification | UKB BOLD (test) | Accuracy99.59 | 16 | |
| Brain Network Classification | UKB CORR (test) | Accuracy99.22 | 16 | |
| Predictive Modeling | UKB | Accuracy94.6 | 12 | |
| Image Retrieval | UKB | Score (top-4)3.91 | 12 | |
| Age Prediction | UKB | Mean Balanced Accuracy0.3391 | 8 | |
| Age Prediction | UKB-Age | Balanced Accuracy33.91 | 8 | |
| Brain network classification | UKB | Average Rank1.8 | 8 | |
| Cine CMR video generation | UKB (test) | LPIPS0.27 | 6 | |
| Intelligence Regression | UKB | MSE0.992 | 6 | |
| Age Regression | UKB | MSE18.2 | 6 | |
| Anomaly Segmentation | UKB (test) | DICE0.232 | 6 | |
| fMRI time series classification | UKB Sex | Balanced Accuracy87.52 | 3 | |
| fMRI time series classification | UKB Age | Balanced Accuracy31.15 | 3 |
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