PPMI
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Brain disorder classification | PPMI | Accuracy91.89 | 41 | |
| Classification | PPMI | Accuracy82.69 | 15 | |
| Brain network classification | PPMI | F1 Score83.7 | 15 | |
| Action Recognition | PPMI-24 (test) | Accuracy98.9 | 13 | |
| MRI Image Generation | PPMI (evaluation set) | FID0.014 | 12 | |
| Action Recognition | PPMI-24 | Accuracy98.2 | 8 | |
| fMRI Classification | PPMI Out-of-distribution | Accuracy61.15 | 6 | |
| Unsupervised Anomaly Detection | PPMI (one fold) | Gmean67 | 6 | |
| Multimodal Brain Image Registration | PPMI | Dice (cerebral WM)81.5 | 5 | |
| Correlation analysis between PBVC and ΔGM | PPMI cohort (N = 120) | Pearson's r-0.02 | 4 | |
| Correlation analysis between PBVC and ΔMoCA | PPMI cohort (N = 114) | Pearson's r0.021 | 4 | |
| Correlation analysis between PBVC and ΔMSEADLG | PPMI cohort (N=291) | Pearson's r-0.041 | 4 | |
| Grouping | PPMI+ | ACC49 | 4 | |
| Brain Network Classification | PPMI | Accuracy0.6978 | 3 | |
| Fine-grained Image Classification | PPMI-24 (test) | Accuracy98.9 | 2 | |
| Visual Recognition | PPMI-24 | Top-1 Acc98.2 | 1 |
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