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NC vs. MCI Classification on ADNI

92.11Accuracy3D CNNs
45.923657.914369.90581.8957Mar 6, 2025May 23, 2025Aug 9, 2025Oct 26, 2025Jan 12, 2026Mar 31, 2026Jun 18, 2026

Evaluation results

MethodLinks
3D CNNsArchitecture=3D CNNs, Modality=Unimodal (MRI)2026.0692.11——————
3D Multi-Scale CNNsArchitecture=3D Multi-Scale CNNs, Modality=Multimodal2026.0685—84.69—85.6——
GMN4ADvalidation=5-fold cross validation, optimization=grid search2026.0681.12—75.68—85.3677.6179.95
GMUArchitecture=GMU, Modality=Multimodal2026.0680.46—79.7180.5181.76——
GATvalidation=5-fold cross validation, optimization=grid search2026.0680.25—75.28—83.9876.778.32
GINvalidation=5-fold cross validation, optimization=grid search2026.0680.02—75.74—83.3876.6377.63
GCNvalidation=5-fold cross validation, optimization=grid search2026.0679.83—76.29—82.4876.4976.9
FILvalidation=5-fold cross validation, optimization=grid search2026.0679.83—76.75—82.2576.776.76
LETetCNN2025.0379.4—77.8—82.2——
3D CNN + 3D CLSTMArchitecture=3D CNN + 3D CLSTM, Modality=Multimodal2026.0679.01—82.35—75.49——
UG-FedDA2025.1277.69—5075.64———
Stacked Auto-EncodersArchitecture=Stacked Auto-Encoders, Modality=Multimodal2026.0676.92—74.29—78.13——
FedADA2025.1274.15—33.3369.4———
ChebyNet2025.0373.5—77.8—66.7——
DBE2025.1273.47—30.4270.75———
BrainAnytimeModality=T1+Flair2026.0573.3——78.8—70—
FACT2025.1273.2—37.576.04———
TetCNN2025.0373—76.1—70——
GAT2025.0372.2—76.3—66——
BrainAnytimeModality=T1+Flair+PET2026.0568.9——77.8—66.2—
BrainAnytimeModality=T1+T2+Flair+PET2026.0567.3——70.3—54.2—
BrainAnytimeModality=Average2026.0567.2——72.5—63.9—
BrainAnytimeModality=T12026.0566.7——70.1—75.2—
BLvalidation=5-fold cross validation, optimization=grid search, cross-graph feature representation learning=disabled2026.0666.36—67.21—65.7362.7659.74
FuseMoEModality=T1+Flair+PET2026.0566.3——77.2—55.9—
MoE-retrieverModality=T1+Flair+PET2026.0565.9——72.3—58.1—
FuseMoEModality=T1+T2+Flair+PET2026.0565.9——73.5—35.1—
MoE-retrieverModality=T12026.0565.8——60.9—79—
FuseMoEModality=T1+Flair2026.0565.8——69.9—61.5—
Flex-MoEModality=T1+T2+Flair+PET2026.0565.3——68.3—30.7—
SAM-Brain3DModality=T1+Flair2026.0564.9——68.2—62—
M3TModality=T12026.0563.4——54.7—75.5—
Flex-MoEModality=T12026.0563.4——59.4—74.4—
MCADModality=T1+Flair2026.0563.3——65.6—54.4—
MoE-retrieverModality=T1+T2+Flair+PET2026.0562.8——64.7—38.9—
FuseMoEModality=Average2026.0562.8——67.4—54.2—
3D Resnet50Modality=T12026.0562.6——67.5—72.7—
MENetModality=T1+Flair2026.0562.1——64.5—52.6—
BrainIACModality=T1+Flair2026.0562.1——67.6—59—
BrainIACModality=T12026.0560.9——58.4—72—
FuseMoEModality=T12026.0560.9——57.8—73.8—
MoE-retrieverModality=Average2026.0560.6——63.6—58.5—
SAM-Brain3DModality=T1+T2+Flair2026.0559.9——63.4—59.5—
BrainAnytimeModality=T1+T2+Flair2026.0559.6——65.4—54—
Flex-MoEModality=T1+Flair+PET2026.0559.6——63.8—33.9—
SAM-Brain3DModality=T12026.0558.9——59.3—69.8—
Flex-MoEModality=Average2026.0558.9——63.2—40.5—
Flex-MoEModality=T1+Flair2026.0558.5——62.7—50.7—
FuseMoEModality=T1+T2+Flair2026.0555.3——58.6—44.5—
MoE-retrieverModality=T1+T2+Flair2026.0555.3——62.5—57.8—
BrainIACModality=T1+T2+Flair2026.0554.5——56.2—54—
MoE-retrieverModality=T1+Flair2026.0553.3——57.8—58.6—
Flex-MoEModality=T1+T2+Flair2026.0547.7——61.6—12.7—
BrainFoundInput Modality=Multimodal MRI (T1, T2, FLAIR), Pretraining Data=10,000 volumes across 12 datasets2026.06———76.6———
MAEInput Modality=Single contrast MRI, Model Variant=Ours (best)2026.06———78———