epics-lab/BrainFMBench · auto generated from models/*/results.json

Leaderboard

Held out test, mean ± std over 5 seeds. Click a dataset column to sort by that task; click again to reverse. There is no single overall score.

Model ⇅Sex classification (balanced accuracy, higher is better)Age prediction (MAE in years, lower is better)BMI prediction (MAE, lower is better)
HBN ⇅NKI ⇅HBN ⇅NKI ⇅HBN ⇅NKI ⇅
3D-Neuro-SimCLR0.768 ± 0.0490.835 ± 0.0231.64 ± 0.125.86 ± 0.583.02 ± 0.293.52 ± 0.17
AnatCL (Global)0.723 ± 0.0600.738 ± 0.0311.78 ± 0.186.26 ± 0.433.39 ± 0.333.92 ± 0.22
AnatCL (Local)0.707 ± 0.0630.765 ± 0.0241.85 ± 0.106.19 ± 0.473.34 ± 0.403.92 ± 0.25
Brain2Vec0.727 ± 0.0480.856 ± 0.0441.49 ± 0.094.83 ± 0.433.01 ± 0.272.98 ± 0.28
BrainIAC0.744 ± 0.0340.810 ± 0.0312.61 ± 0.0713.96 ± 0.593.59 ± 0.494.16 ± 0.25
Dinov3D-neuro0.696 ± 0.0410.757 ± 0.0451.96 ± 0.118.29 ± 0.573.23 ± 0.273.69 ± 0.12
FS aparc0.740 ± 0.0340.770 ± 0.0232.13 ± 0.179.09 ± 0.633.51 ± 0.313.99 ± 0.36
FS Schaefer0.736 ± 0.0280.740 ± 0.0162.16 ± 0.198.29 ± 0.383.44 ± 0.313.99 ± 0.35
SwinBrain0.744 ± 0.0380.855 ± 0.0232.39 ± 0.119.47 ± 0.543.41 ± 0.363.97 ± 0.20
un-CNN †0.772 ± 0.0430.857 ± 0.0321.42 ± 0.085.11 ± 0.222.70 ± 0.333.13 ± 0.11

† un-CNN: Maintainers' own model.

Models

ModelPreprocessingDimLinks
3D-Neuro-SimCLRturboprep512paper
AnatCL (Global)cat12512paper · code
AnatCL (Local)cat12512paper · code
Brain2VecOwn pipeline: NiChart DLMUSE (DLICV skull stripping) + FSL FLIRT to the Brain2Vec template768paper · model card · code
BrainIACturboprep768paper · code
Dinov3D-neuroturboprep792model card
FS SchaeferFreeSurfer v6.0.1 (RBC): Schaefer 400 cortical thickness and surface area800paper
FS aparcFreeSurfer v6.0.1 (RBC): aparc 68 cortical thickness and surface area136paper
SwinBrainturboprep384paper
un-CNNturboprep9664paper · model card · code