AIBL
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| MCI vs. AD classification | AIBL | Accuracy79.2 | 18 | |
| CN vs MCI Classification | AIBL | Accuracy88.9 | 17 | |
| CN vs AD Classification | AIBL | Accuracy96.4 | 17 | |
| Classification | AIBL | ACC92.28 | 13 | |
| Binary Alzheimer's Disease Classification (CN vs. AD) | AIBL (test) | AUC98.5 | 13 | |
| Patient-level burden regression | AIBL (n=370) | MAE0.42 | 11 | |
| Lesion-level Cerebral Microbleed Detection | AIBL (n=370) | Recall88.5 | 11 | |
| Alzheimer's disease diagnosis | AIBL | Accuracy81.7 | 10 | |
| Longitudinal MRI Prediction | AIBL (test) | PSNR30.52 | 9 | |
| Clinical structure faithfulness | AIBL | Region MAE0.226 | 9 | |
| Multi-class Alzheimer's Disease Classification | AIBL | mAUC85.42 | 6 | |
| Anomaly Detection | AIBL (test) | Dice Score32 | 5 | |
| NC vs. MCI classification | AIBL | Accuracy72.75 | 4 | |
| Healthy Anatomy Reconstruction | AIBL FLAIR MRI | L1 Loss0.017 | 4 | |
| Healthy Anatomy Reconstruction | AIBL T2w MRI | L1 Loss2.1 | 4 | |
| Healthy Anatomy Reconstruction | AIBL T1w MRI (601/67) | L1 Loss0.009 | 4 | |
| Medical Image Classification | AIBL | Accuracy82.9 | 3 | |
| NC vs. AD classification | AIBL | Accuracy93.17 | 2 |
Showing 18 of 18 rows