| CSN | CG-DMER | Macro AUC (1%)70.7 | | 17 | 3d ago |
| CPSC 2018 | CG-DMER | Macro AUC (1%)71.7 | | 17 | 3d ago |
| PTBXL Rhythm | CG-DMER | Macro AUC (1%)64.47 | | 17 | 3d ago |
| PTBXL Form | CG-DMER | Macro AUC (1%)60.25 | | 17 | 3d ago |
| PTBXL Sub | CG-DMER | Macro AUC (1%)0.696 | | 17 | 3d ago |
| PTBXL Super | CG-DMER | Macro AUC (1%)84.22 | | 17 | 3d ago |
| PTB database | Adapted ConvNetQuake | Accuracy99.43 | | 13 | 3d ago |
| Telehealth 12-lead ECG (test) | DNN | Precision100 | | 10 | 3d ago |
| ECG | Expert | 1-F1 Score0.28 | | 9 | 3d ago |
| PTB-XL Lead II | CLEF-M | Dx Accuracy0.8307 | | 8 | 3d ago |
| PTB-XL Lead I | CLEF-L | Dx Accuracy84.72 | | 8 | 3d ago |
| PTB-XL 100 Hz | Chimera | Accuracy (All)94.1 | | 7 | 2d ago |
| PTB 1% labeled training data (test) | COMET | Accuracy90.52 | | 7 | 3d ago |
| PTB 10% labeled train (test) | COMET | Accuracy88.49 | | 7 | 3d ago |
| PTB 100% labeled training data (test) | COMET | Accuracy0.8784 | | 7 | 3d ago |
| PTB-XL 100Hz (test) | MULTIRESNET | All AUROC0.938 | | 7 | 3d ago |
| CPSC 2018 | LightX3ECG (w/o pruning) | F1 Score80.1 | | 6 | 3d ago |
| Chapman | LightX3ECG (w/o pruning) | F1 Score97.22 | | 6 | 3d ago |
| CPSC 2018 | CG-DMER | Macro AUC82.93 | | 5 | 3d ago |
| PhysioNet dataset 2017 | EfficientECG | Average Accuracy87.82 | | 4 | 3d ago |
| Chapman-Shaoxing (5-fold subject-aware cross-validation) | ECG-RAMBA | Macro F1 Score31.15 | | 1 | 3d ago |
| PTB (test) | - | - | | 0 | 3d ago |
