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Papers Benchmarks Datasets Tasks

AIBL dataset and benchmarks · SOTA2 Research

Research Datasets

AIBL

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

MCI vs. AD classification

AIBL

79.2Accuracy

18

CN vs MCI Classification

AIBL

88.9Accuracy

17

CN vs AD Classification

AIBL

96.4Accuracy

17

AIBL

92.28ACC

13

Binary Alzheimer's Disease Classification (CN vs. AD)

AIBL (test)

98.5AUC

13

Patient-level burden regression

AIBL (n=370)

0.42MAE

11

Lesion-level Cerebral Microbleed Detection

AIBL (n=370)

88.5Recall

11

Alzheimer's disease diagnosis

AIBL

81.7Accuracy

10

Longitudinal MRI Prediction

AIBL (test)

30.52PSNR

9

Clinical structure faithfulness

AIBL

0.226Region MAE

9

Multi-class Alzheimer's Disease Classification

AIBL

85.42mAUC

6

Anomaly Detection

AIBL (test)

32Dice Score

5

NC vs. MCI classification

AIBL

72.75Accuracy

4

Healthy Anatomy Reconstruction

AIBL FLAIR MRI

0.017L1 Loss

4

Healthy Anatomy Reconstruction

AIBL T2w MRI

2.1L1 Loss

4

Healthy Anatomy Reconstruction

AIBL T1w MRI (601/67)

0.009L1 Loss

4

Medical Image Classification

AIBL

82.9Accuracy

3

NC vs. AD classification

AIBL

93.17Accuracy

2

Popular tasks

Healthy Anatomy Reconstruction Anomaly Detection Classification Medical Image Classification Multi-class Alzheimer's Disease Classification

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