AIBL
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | AIBL | ACC92.28 | 13 | |
| Binary Alzheimer's Disease Classification (CN vs. AD) | AIBL (test) | AUC98.5 | 13 | |
| 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 | |
| NC vs. AD classification | AIBL | AUC88.66 | 2 | |
| MCI vs. AD classification | AIBL | Precision0.003 | 2 |
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