Private dataset
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Forecasting | Private Dataset Exclusive User (test) | MAE0.3638 | 12 | |
| Reagent 2 prediction | private dataset | Top-1 Similarity73.6 | 9 | |
| Reagent 1 prediction | private dataset | Top-1 Similarity88.3 | 9 | |
| Solvent 2 prediction | private dataset | Top-1 Similarity76.3 | 9 | |
| Solvent 1 prediction | private dataset | Top-1 Similarity85.4 | 9 | |
| Catalyst prediction | private dataset | Top-1 Similarity78.1 | 9 | |
| Low-field to high-field MRI synthesis | Private Dataset Flair contrast, 64mT to 3T | PSNR33.06 | 9 | |
| Low-field to high-field MRI synthesis | Private Dataset T2w contrast, 64mT to 3T | PSNR33.17 | 9 | |
| Low-field to high-field MRI synthesis | Private Dataset T1w contrast, 64mT to 3T | PSNR33.34 | 9 | |
| Myocardium Segmentation | Private dataset Poor Quality (test) | mDice68.1 | 8 | |
| Myocardium Segmentation | Private dataset Good Medium Quality (test) | mDice72.4 | 8 | |
| Tooth segmentation and identification | Private Dataset (test) | mIoU82.1 | 7 | |
| Medical Image Registration | Private Dataset (test) | Mean Dice72.88 | 7 | |
| Object Detection | Private dataset (test) | AP5070.13 | 7 | |
| Aortic Stenosis Classification | Private dataset Study-level (N=258) (test) | bACC80 | 7 | |
| Aortic Stenosis Classification | Private dataset Cine-level (test) | bACC0.76 | 7 | |
| Regression | Private Dataset | MAE10,671 | 6 | |
| Gender Classification | Private Dataset | AUC90.1 | 6 | |
| Age Classification | Private Dataset | Accuracy75.6 | 6 | |
| Imputation | Private Dataset City (test) | MAE0.0876 | 5 | |
| CMR Generation | Private Dataset | FID11.4 | 4 | |
| Classification | Private Dataset Gender (test) | Accuracy75.71 | 4 | |
| Forecasting | Private Dataset District (test) | MAE0.3719 | 4 | |
| Patient Level Fracture Recognition | Private Dataset | Accuracy0.892 | 3 | |
| Forecasting | Private Dataset (Public User) (test) | MSE0.3 | 3 |
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