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Age Regression on UKB

0.466MAETABLeT
0.250641.704323.1584.61168Jul 12, 2023Jan 7, 2024Jul 5, 2024Jan 1, 2025Jun 30, 2025Dec 27, 2025Jun 25, 2026

Evaluation results

MethodLinks
TABLeTT (time frames)=2562026.040.4660.340.814
SwiFTT (time frames)=502026.040.4770.3640.802
SwiFTT (time frames)=202026.040.480.3660.8
TFFT (time frames)=202026.040.5250.440.76
BNT2026.040.5880.540.685
BrainNetCNN2026.040.6180.5970.647
meanMLP2026.040.6620.6720.586
Brain-JEPA2026.040.6690.6880.574
XGBoost2026.040.6860.6980.553
Brain-JEPA2025.111.69—0.76
fMRI-LM-B(Q)backbone=Qwen3-0.6B2025.111.8—0.85
fMRI-LM-B(G)backbone=GPT-2 (124M)2025.111.82—0.85
BrainMass2025.112.01—0.77
MICViTConfig=Large, Params (M)=6.97, Training Time (min/epoch)=86.33, Fusion=Standard2026.062.816——
MICViTConfig=Base, Params (M)=2.34, Training Time (min/epoch)=69.54, Fusion=Standard2026.062.892——
MICViTConfig=Medium, Params (M)=0.62, Training Time (min/epoch)=60.37, Fusion=Standard2026.063——
MICViTConfig=Small, Params (M)=0.17, Training Time (min/epoch)=38.84, Fusion=Standard2026.063.119——
GCViTConfig=Large, Params (M)=6.96, Training Time (min/epoch)=89.45, Fusion=Standard2026.063.342——
SwiFTTraining=from scratch2023.073.418.2—
SWiFT2025.113.4—0.49
GCViTConfig=Base, Params (M)=2.31, Training Time (min/epoch)=68.20, Fusion=Standard2026.063.41——
ResNetConfig=Large, Params (M)=7.00, Training Time (min/epoch)=42.07, Fusion=Late fusion2026.063.443——
ConvNeXtConfig=Large, Params (M)=6.77, Training Time (min/epoch)=67.67, Fusion=Standard2026.063.447——
GCViTConfig=Medium, Params (M)=0.62, Training Time (min/epoch)=58.54, Fusion=Standard2026.063.453——
ConvNeXtConfig=Base, Params (M)=2.40, Training Time (min/epoch)=67.07, Fusion=Standard2026.063.464——
ConvNeXtConfig=Medium, Params (M)=0.61, Training Time (min/epoch)=60.48, Fusion=Standard2026.063.484——
ConvNeXtConfig=Small, Params (M)=0.19, Training Time (min/epoch)=21.57, Fusion=Standard2026.063.526——
Swin-TConfig=Large, Params (M)=6.79, Training Time (min/epoch)=64.76, Fusion=Standard2026.063.536——
ResNetConfig=Base, Params (M)=2.28, Training Time (min/epoch)=34.26, Fusion=Late fusion2026.063.57——
ResNetConfig=Medium, Params (M)=0.60, Training Time (min/epoch)=28.05, Fusion=Late fusion2026.063.605——
Swin-TConfig=Base, Params (M)=2.45, Training Time (min/epoch)=45.12, Fusion=Standard2026.063.665——
ViTConfig=Large, Params (M)=6.98, Training Time (min/epoch)=84.56, Fusion=Late fusion2026.063.677——
ResNetConfig=Large, Params (M)=6.88, Training Time (min/epoch)=34.50, Fusion=Standard2026.063.711——
Swin-TConfig=Medium, Params (M)=0.62, Training Time (min/epoch)=57.41, Fusion=Standard2026.063.742——
ViTConfig=Large, Params (M)=6.87, Training Time (min/epoch)=96.82, Fusion=Standard2026.063.832——
ResNetConfig=Base, Params (M)=2.46, Training Time (min/epoch)=38.43, Fusion=Standard2026.063.935——
ViTConfig=Base, Params (M)=2.12, Training Time (min/epoch)=53.02, Fusion=Late fusion2026.063.976——
Swin-TConfig=Small, Params (M)=0.17, Training Time (min/epoch)=55.18, Fusion=Standard2026.064.005——
ViTConfig=Base, Params (M)=2.71, Training Time (min/epoch)=91.53, Fusion=Standard2026.064.006——
ResNetConfig=Medium, Params (M)=0.60, Training Time (min/epoch)=38.35, Fusion=Standard2026.064.06——
GCViTConfig=Small, Params (M)=0.16, Training Time (min/epoch)=43.81, Fusion=Standard2026.064.094——
ViTConfig=Medium, Params (M)=0.74, Training Time (min/epoch)=90.11, Fusion=Standard2026.064.097——
ViTConfig=Medium, Params (M)=0.54, Training Time (min/epoch)=52.05, Fusion=Late fusion2026.064.376——
ViTConfig=Small, Params (M)=0.18, Training Time (min/epoch)=48.92, Fusion=Standard2026.064.511——
ResNetConfig=Small, Params (M)=0.18, Training Time (min/epoch)=26.64, Fusion=Standard2026.064.613——
ViTConfig=Small, Params (M)=0.19, Training Time (min/epoch)=64.56, Fusion=Late fusion2026.064.878——
TFF2023.075.142.1—
BNT2023.075.1739.6—
ResNetConfig=Small, Params (M)=0.18, Training Time (min/epoch)=22.52, Fusion=Late fusion2026.065.176——
VanillaTF2023.075.2641.4—
BrainNetCNN2023.075.3642.7—
XGBoost2023.075.8548.8—