ADNI
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Alzheimer stage classification | ADNI | AUC93.65 | 116 | |
| Outlier detection | ADNI (test) | Likelihood Ratio10.2 | 96 | |
| Alzheimer's disease diagnosis | ADNI | AUC96 | 42 | |
| User-based De-identification Matching | ADNI | Accuracy100 | 38 | |
| HC vs. MCI classification | ADNI (five-fold cross-validation) | AUC90.48 | 28 | |
| AD diagnosis | ADNI (test) | Bacc83.6 | 28 | |
| Brain Tissue Segmentation | ADNI (test) | Dice Coefficient (CSF)99 | 26 | |
| Alzheimer's Disease Classification | ADNI 137 (test) | Accuracy0.7139 | 23 | |
| Brain disorder classification | ADNI (Five-fold cross-validation) | Accuracy79.56 | 18 | |
| Brain Disorder Classification | ADNI Tenfold cross-validation | Accuracy73.23 | 18 | |
| MCI vs. AD classification | ADNI | Accuracy78.03 | 17 | |
| Classification | ADNI | Accuracy0.917 | 17 | |
| Classification | ADNI 23 (test) | Accuracy0.6765 | 17 | |
| Disease Diagnosis | ADNI BOLD (test) | Accuracy84.33 | 16 | |
| Disease Diagnosis | ADNI CORR (test) | Accuracy85.56 | 16 | |
| Multiclass Neurodegenerative Disease Classification | ADNI3 CN vs. EMCI vs. AD | Accuracy68.65 | 15 | |
| CN vs AD Classification | ADNI (90-10 train-test) | Accuracy99.7 | 13 | |
| CN vs MCI Classification | ADNI (90-10 train-test) | Accuracy98.3 | 13 | |
| Disease Classification | ADNI CN vs AD (50-50 train test) | Accuracy90.9 | 13 | |
| Disease Classification | ADNI CN vs MCI 50-50 (train test) | Accuracy90.4 | 13 | |
| Classification | ADNI CN vs AD (70-30 split) | Accuracy95.2 | 13 | |
| Classification | ADNI CN vs MCI (70-30 split) | Accuracy93.9 | 13 | |
| Brain Tissue Segmentation | ADNI Longitudinal (test) | STCS (CSF)93.93 | 13 | |
| Dementia prognosis | ADNI | Accuracy83.46 | 13 | |
| Binary Diagnosis Classification | ADNI NC vs MCI | Accuracy73.02 | 12 |
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