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Internal

Benchmarks

Task NameDataset NameSOTA ResultTrend
Pheno PredictionInternal (test)
MAE0.138
12
Cog PredictionInternal (test)
MAE0.089
12
Age PredictionInternal (test)
MAE4.621
12
Disease ClassificationInternal (test)
Accuracy71.43
12
Gender ClassificationInternal (test)
Accuracy71.91
12
Video-to-Audio RetrievalInternal V→A
Recall@150.3
10
Next token predictioninternal
MRR0.615
10
Mask-based video object insertionInternal (test)
MSE103.09
9
Optic Disc and Cup SegmentationInternal 275 samples (test)
Dice (Cup)89.57
8
Cardiovascular Disease DiagnosisInternal (test)
NH AUC0.98
8
Thyroid Carcinoma ClassificationInternal (test)
ATC-AUC98.4
8
TAInternal ID (train)
RM ACC0.7902
8
View-level Stenosis ClassificationInternal (test)
AUC0.699
8
Patient-level Stenosis ClassificationInternal (test)
AUC84.5
8
MRI Synthesis (T2 to T1c)Internal
MSE0.0088
8
MRI Synthesis (T2 to T1)Internal
MSE0.0105
8
MRI Synthesis (T1c to T2)Internal
MSE0.008
8
MRI Synthesis (T1c to T1)Internal
MSE0.0172
8
MRI Synthesis (T1 to T2)Internal
MSE0.0082
8
MRI Synthesis (T1 to T1c)Internal
MSE0.0099
8
Anomaly DetectionInternal
EER11
8
Parkinson's disease responder classificationInternal Development Cohort patient-wise (test)
Accuracy88.89
7
ECG-based LVEF classificationInternal
AUROC78.5
6
Video Frame InterpolationInternal Dataset (10-fold cross-validation)
MAE3.66
6
Segment-level Stenosis ClassificationInternal (test)
AUC0.799
5
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