epics-lab/BrainFMBench · auto generated from models/*/results.json
Held out test, mean ± std over 5 seeds. Rows are grouped by probe; click a column to sort within each probe, click again to reverse. Bold marks the best value per column within a probe. There is no single overall score.
| Model ⇅ | Preprocessing ⇅ | HBN | NKI | PNC | BHRC | CCNP | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sex | Age | BMI | p factor | Internalizing | Externalizing | Handedness | Sex | Age | BMI | p factor | Internalizing | Externalizing | Handedness | Sex | Age | BMI | p factor ≠ 0 | p factor | Internalizing | Externalizing | Handedness | Sex | Age | BMI | p factor | Internalizing | Externalizing | Sex | Age | BMI | p factor | Internalizing | Externalizing | ||||||||||||||||||||||||||||||||||||
| bal acc ↑ ⇅ | AUC ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | bal acc ↑ ⇅ | AUC ↑ ⇅ | bal acc ↑ ⇅ | AUC ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | bal acc ↑ ⇅ | AUC ↑ ⇅ | bal acc ↑ ⇅ | AUC ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | bal acc ↑ ⇅ | AUC ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | bal acc ↑ ⇅ | AUC ↑ ⇅ | bal acc ↑ ⇅ | AUC ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | bal acc ↑ ⇅ | AUC ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | MAE ↓ ⇅ | R² ↑ ⇅ | ||
| Linear probe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 3D-Neuro-SimCLR | turboprep | 0.776 ± 0.034 | 0.856 ± 0.023 | 1.37 ± 0.13 | 0.745 ± 0.056 | 2.84 ± 0.23 | 0.338 ± 0.183 | 0.82 ± 0.08 | -0.021 ± 0.007 | 0.86 ± 0.03 | -0.023 ± 0.050 | 0.78 ± 0.04 | 0.017 ± 0.038 | 0.500 ± 0.000 | 0.458 ± 0.048 | 0.892 ± 0.021 | 0.964 ± 0.013 | 5.85 ± 0.41 | 0.854 ± 0.026 | 3.38 ± 0.21 | 0.316 ± 0.080 | 0.78 ± 0.09 | -0.182 ± 0.172 | 0.88 ± 0.13 | -0.081 ± 0.095 | 0.37 ± 0.11 | -1.078 ± 1.284 | 0.499 ± 0.002 | 0.477 ± 0.053 | 0.840 ± 0.019 | 0.911 ± 0.027 | 1.64 ± 0.11 | 0.382 ± 0.629 | 3.25 ± 0.36 | -0.337 ± 0.859 | 0.498 ± 0.002 | 0.505 ± 0.030 | 0.79 ± 0.04 | 0.037 ± 0.028 | 0.86 ± 0.03 | -0.005 ± 0.007 | 0.62 ± 0.02 | -0.003 ± 0.006 | 0.500 ± 0.000 | 0.564 ± 0.047 | 0.769 ± 0.055 | 0.821 ± 0.058 | 1.41 ± 0.19 | -0.231 ± 0.755 | 3.61 ± 0.59 | -0.012 ± 0.404 | 0.72 ± 0.07 | -0.021 ± 0.048 | 0.72 ± 0.09 | 0.018 ± 0.045 | 0.69 ± 0.11 | -0.025 ± 0.015 | 0.504 ± 0.059 | 0.572 ± 0.146 | 2.60 ± 0.44 | -0.074 ± 0.106 | 2.95 ± 0.28 | -0.055 ± 0.071 | 0.74 ± 0.10 | -0.026 ± 0.025 | 0.49 ± 0.04 | -0.056 ± 0.055 | 0.62 ± 0.11 | -0.096 ± 0.127 |
| 3D-Neuro-SimCLR | turboprep-affine | 0.784 ± 0.022 | 0.873 ± 0.015 | 1.16 ± 0.11 | 0.819 ± 0.034 | 2.55 ± 0.20 | 0.485 ± 0.073 | 0.82 ± 0.08 | -0.020 ± 0.010 | 0.86 ± 0.05 | -0.015 ± 0.027 | 0.78 ± 0.04 | 0.017 ± 0.031 | 0.500 ± 0.000 | 0.466 ± 0.092 | 0.861 ± 0.043 | 0.935 ± 0.027 | 5.48 ± 0.40 | 0.868 ± 0.025 | 2.50 ± 0.27 | 0.660 ± 0.061 | 0.81 ± 0.06 | -0.249 ± 0.274 | 0.89 ± 0.12 | -0.110 ± 0.085 | 0.38 ± 0.11 | -1.118 ± 1.276 | 0.500 ± 0.000 | 0.603 ± 0.081 | 0.818 ± 0.033 | 0.914 ± 0.016 | 1.64 ± 0.07 | 0.680 ± 0.012 | 2.52 ± 0.19 | 0.545 ± 0.067 | 0.500 ± 0.000 | 0.507 ± 0.048 | 0.79 ± 0.04 | 0.022 ± 0.018 | 0.86 ± 0.03 | -0.003 ± 0.013 | 0.62 ± 0.02 | -0.006 ± 0.006 | 0.500 ± 0.000 | 0.491 ± 0.025 | 0.746 ± 0.065 | 0.815 ± 0.053 | 1.24 ± 0.09 | 0.295 ± 0.044 | 3.52 ± 0.49 | -0.107 ± 0.538 | 0.72 ± 0.06 | -0.022 ± 0.053 | 0.70 ± 0.09 | 0.054 ± 0.025 | 0.69 ± 0.11 | -0.013 ± 0.011 | 0.469 ± 0.061 | 0.628 ± 0.180 | 2.53 ± 0.45 | -0.032 ± 0.102 | 3.09 ± 0.30 | -0.148 ± 0.283 | 0.73 ± 0.10 | -0.020 ± 0.028 | 0.50 ± 0.04 | -0.108 ± 0.156 | 0.63 ± 0.10 | -0.151 ± 0.273 |
| AnatCL (Global) | cat12 | 0.783 ± 0.035 | 0.849 ± 0.045 | 1.61 ± 0.10 | 0.661 ± 0.045 | 3.21 ± 0.33 | 0.206 ± 0.061 | 0.82 ± 0.08 | -0.018 ± 0.009 | 0.86 ± 0.04 | -0.008 ± 0.019 | 0.78 ± 0.04 | 0.011 ± 0.037 | 0.500 ± 0.000 | 0.496 ± 0.052 | 0.799 ± 0.032 | 0.906 ± 0.010 | 6.25 ± 0.17 | 0.837 ± 0.007 | 3.87 ± 0.20 | 0.208 ± 0.031 | 0.81 ± 0.08 | -0.218 ± 0.213 | 0.88 ± 0.12 | -0.085 ± 0.084 | 0.38 ± 0.11 | -1.327 ± 1.584 | 0.500 ± 0.000 | 0.587 ± 0.076 | 0.799 ± 0.036 | 0.877 ± 0.028 | 1.68 ± 0.08 | 0.669 ± 0.029 | 3.66 ± 0.27 | 0.121 ± 0.100 | 0.500 ± 0.000 | 0.533 ± 0.056 | 0.79 ± 0.05 | 0.044 ± 0.027 | 0.87 ± 0.03 | -0.007 ± 0.008 | 0.62 ± 0.02 | -0.003 ± 0.007 | 0.500 ± 0.000 | 0.566 ± 0.046 | 0.755 ± 0.066 | 0.786 ± 0.076 | 1.35 ± 0.08 | 0.156 ± 0.063 | 3.71 ± 0.47 | 0.015 ± 0.068 | 0.71 ± 0.05 | -0.021 ± 0.057 | 0.73 ± 0.08 | -0.017 ± 0.031 | 0.69 ± 0.11 | -0.015 ± 0.010 | 0.461 ± 0.086 | 0.492 ± 0.105 | 2.55 ± 0.38 | -0.056 ± 0.097 | 2.95 ± 0.28 | -0.064 ± 0.067 | 0.73 ± 0.10 | -0.023 ± 0.031 | 0.49 ± 0.04 | -0.060 ± 0.053 | 0.60 ± 0.11 | -0.042 ± 0.136 |
| AnatCL (Local) | cat12 | 0.762 ± 0.028 | 0.840 ± 0.037 | 1.63 ± 0.07 | 0.642 ± 0.058 | 3.13 ± 0.34 | 0.227 ± 0.055 | 0.82 ± 0.08 | -0.013 ± 0.015 | 0.86 ± 0.05 | -0.013 ± 0.022 | 0.79 ± 0.04 | 0.004 ± 0.038 | 0.500 ± 0.000 | 0.519 ± 0.076 | 0.804 ± 0.016 | 0.901 ± 0.012 | 6.22 ± 0.23 | 0.836 ± 0.011 | 3.71 ± 0.24 | 0.276 ± 0.021 | 0.80 ± 0.08 | -0.193 ± 0.169 | 0.87 ± 0.13 | -0.060 ± 0.108 | 0.38 ± 0.11 | -1.211 ± 1.414 | 0.500 ± 0.000 | 0.589 ± 0.078 | 0.829 ± 0.035 | 0.906 ± 0.030 | 1.69 ± 0.05 | 0.661 ± 0.026 | 3.64 ± 0.34 | 0.139 ± 0.100 | 0.500 ± 0.000 | 0.540 ± 0.057 | 0.78 ± 0.04 | 0.046 ± 0.030 | 0.86 ± 0.03 | -0.003 ± 0.007 | 0.62 ± 0.02 | -0.004 ± 0.007 | 0.500 ± 0.000 | 0.505 ± 0.023 | 0.709 ± 0.070 | 0.776 ± 0.092 | 1.32 ± 0.12 | 0.185 ± 0.062 | 3.70 ± 0.46 | 0.036 ± 0.046 | 0.73 ± 0.06 | -0.046 ± 0.026 | 0.72 ± 0.08 | 0.003 ± 0.024 | 0.69 ± 0.11 | -0.017 ± 0.013 | 0.436 ± 0.111 | 0.428 ± 0.141 | 2.53 ± 0.37 | -0.037 ± 0.131 | 2.95 ± 0.29 | -0.052 ± 0.070 | 0.74 ± 0.10 | -0.024 ± 0.028 | 0.49 ± 0.04 | -0.060 ± 0.054 | 0.59 ± 0.12 | -0.019 ± 0.116 |
| BrainIAC | turboprep | 0.782 ± 0.041 | 0.854 ± 0.031 | 2.38 ± 0.15 | 0.329 ± 0.057 | 3.18 ± 0.42 | 0.248 ± 0.088 | 0.82 ± 0.08 | -0.019 ± 0.011 | 0.86 ± 0.05 | -0.007 ± 0.014 | 0.80 ± 0.05 | -0.014 ± 0.020 | 0.500 ± 0.000 | 0.432 ± 0.033 | 0.842 ± 0.036 | 0.924 ± 0.026 | 10.15 ± 0.24 | 0.567 ± 0.051 | 3.87 ± 0.20 | 0.220 ± 0.093 | 0.78 ± 0.09 | -0.157 ± 0.176 | 0.85 ± 0.14 | -0.040 ± 0.114 | 0.39 ± 0.12 | -1.099 ± 1.168 | 0.500 ± 0.000 | 0.546 ± 0.058 | 0.773 ± 0.028 | 0.858 ± 0.029 | 2.46 ± 0.06 | 0.326 ± 0.047 | 3.50 ± 0.30 | 0.205 ± 0.066 | 0.500 ± 0.000 | 0.520 ± 0.043 | 0.80 ± 0.03 | 0.012 ± 0.022 | 0.87 ± 0.03 | -0.006 ± 0.006 | 0.62 ± 0.02 | -0.000 ± 0.004 | 0.500 ± 0.000 | 0.567 ± 0.024 | 0.679 ± 0.041 | 0.754 ± 0.021 | 1.44 ± 0.08 | 0.075 ± 0.034 | 3.54 ± 0.40 | 0.097 ± 0.095 | 0.73 ± 0.07 | -0.034 ± 0.031 | 0.71 ± 0.08 | 0.021 ± 0.019 | 0.69 ± 0.11 | -0.008 ± 0.018 | 0.576 ± 0.150 | 0.553 ± 0.155 | 2.59 ± 0.41 | -0.074 ± 0.087 | 2.94 ± 0.29 | -0.049 ± 0.073 | 0.74 ± 0.10 | -0.028 ± 0.022 | 0.50 ± 0.03 | -0.088 ± 0.103 | 0.62 ± 0.11 | -0.116 ± 0.131 |
| BrainIAC | turboprep-affine | 0.678 ± 0.048 | 0.736 ± 0.054 | 1.95 ± 0.13 | 0.484 ± 0.048 | 3.10 ± 0.37 | 0.293 ± 0.075 | 0.82 ± 0.08 | -0.015 ± 0.014 | 0.86 ± 0.05 | -0.007 ± 0.009 | 0.80 ± 0.05 | -0.014 ± 0.026 | 0.500 ± 0.000 | 0.598 ± 0.070 | 0.750 ± 0.045 | 0.827 ± 0.047 | 8.96 ± 0.18 | 0.668 ± 0.021 | 3.64 ± 0.23 | 0.316 ± 0.045 | 0.73 ± 0.13 | -0.239 ± 0.240 | 0.87 ± 0.14 | -0.084 ± 0.098 | 0.39 ± 0.11 | -1.133 ± 1.231 | 0.500 ± 0.000 | 0.424 ± 0.055 | 0.744 ± 0.057 | 0.835 ± 0.039 | 2.17 ± 0.13 | 0.459 ± 0.061 | 3.43 ± 0.41 | 0.245 ± 0.058 | 0.500 ± 0.000 | 0.492 ± 0.053 | 0.81 ± 0.04 | -0.005 ± 0.020 | 0.86 ± 0.03 | 0.009 ± 0.024 | 0.62 ± 0.02 | -0.001 ± 0.012 | 0.500 ± 0.000 | 0.540 ± 0.035 | 0.667 ± 0.042 | 0.734 ± 0.059 | 1.41 ± 0.08 | 0.072 ± 0.065 | 3.62 ± 0.34 | 0.077 ± 0.030 | 0.72 ± 0.06 | -0.012 ± 0.024 | 0.71 ± 0.07 | 0.016 ± 0.036 | 0.68 ± 0.11 | -0.003 ± 0.022 | 0.474 ± 0.039 | 0.494 ± 0.074 | 2.58 ± 0.41 | -0.064 ± 0.070 | 2.94 ± 0.30 | -0.051 ± 0.072 | 0.73 ± 0.10 | -0.023 ± 0.040 | 0.49 ± 0.04 | -0.053 ± 0.050 | 0.66 ± 0.16 | -0.209 ± 0.235 |
| Dinov3D-neuro | turboprep | 0.727 ± 0.030 | 0.828 ± 0.031 | 1.42 ± 0.09 | 0.730 ± 0.042 | 2.68 ± 0.26 | 0.442 ± 0.061 | 0.82 ± 0.08 | -0.021 ± 0.013 | 0.85 ± 0.05 | -0.002 ± 0.032 | 0.80 ± 0.04 | -0.004 ± 0.037 | 0.500 ± 0.000 | 0.526 ± 0.056 | 0.846 ± 0.030 | 0.939 ± 0.019 | 6.03 ± 0.23 | 0.844 ± 0.023 | 3.26 ± 0.10 | 0.432 ± 0.055 | 0.80 ± 0.09 | -0.158 ± 0.145 | 0.85 ± 0.13 | -0.176 ± 0.132 | 0.38 ± 0.11 | -1.084 ± 1.180 | 0.500 ± 0.000 | 0.512 ± 0.064 | 0.796 ± 0.036 | 0.878 ± 0.042 | 1.58 ± 0.09 | 0.707 ± 0.027 | 3.20 ± 0.26 | 0.317 ± 0.105 | 0.500 ± 0.000 | 0.489 ± 0.054 | 0.80 ± 0.03 | 0.015 ± 0.038 | 0.87 ± 0.02 | -0.013 ± 0.028 | 0.62 ± 0.02 | -0.006 ± 0.011 | 0.500 ± 0.000 | 0.477 ± 0.061 | 0.682 ± 0.068 | 0.751 ± 0.080 | 1.38 ± 0.15 | 0.120 ± 0.093 | 3.53 ± 0.44 | 0.152 ± 0.055 | 0.72 ± 0.07 | -0.013 ± 0.018 | 0.71 ± 0.08 | 0.042 ± 0.025 | 0.69 ± 0.11 | -0.016 ± 0.011 | 0.568 ± 0.113 | 0.553 ± 0.136 | 2.59 ± 0.37 | -0.081 ± 0.080 | 2.92 ± 0.27 | -0.054 ± 0.051 | 0.74 ± 0.11 | -0.050 ± 0.059 | 0.49 ± 0.04 | -0.050 ± 0.054 | 0.62 ± 0.11 | -0.126 ± 0.149 |
| Dinov3D-neuro | turboprep-affine | 0.703 ± 0.041 | 0.784 ± 0.026 | 1.43 ± 0.11 | 0.729 ± 0.052 | 2.96 ± 0.21 | 0.282 ± 0.081 | 0.82 ± 0.08 | -0.020 ± 0.015 | 0.86 ± 0.05 | -0.004 ± 0.036 | 0.79 ± 0.04 | -0.001 ± 0.013 | 0.500 ± 0.000 | 0.524 ± 0.089 | 0.759 ± 0.040 | 0.859 ± 0.014 | 6.47 ± 0.51 | 0.827 ± 0.036 | 3.07 ± 0.26 | 0.511 ± 0.026 | 0.76 ± 0.06 | -0.144 ± 0.261 | 0.86 ± 0.13 | -0.085 ± 0.166 | 0.38 ± 0.12 | -1.054 ± 1.181 | 0.500 ± 0.000 | 0.527 ± 0.056 | 0.789 ± 0.045 | 0.874 ± 0.028 | 1.61 ± 0.05 | 0.689 ± 0.024 | 3.10 ± 0.41 | 0.377 ± 0.043 | 0.500 ± 0.000 | 0.512 ± 0.027 | 0.80 ± 0.03 | 0.011 ± 0.020 | 0.87 ± 0.03 | -0.009 ± 0.010 | 0.62 ± 0.02 | -0.011 ± 0.014 | 0.500 ± 0.000 | 0.411 ± 0.045 | 0.669 ± 0.052 | 0.734 ± 0.050 | 1.30 ± 0.11 | 0.200 ± 0.059 | 3.42 ± 0.28 | 0.196 ± 0.118 | 0.72 ± 0.07 | -0.017 ± 0.027 | 0.71 ± 0.08 | -0.000 ± 0.040 | 0.68 ± 0.10 | -0.007 ± 0.038 | 0.503 ± 0.136 | 0.522 ± 0.134 | 2.63 ± 0.33 | -0.087 ± 0.192 | 2.94 ± 0.28 | -0.055 ± 0.071 | 0.74 ± 0.10 | -0.034 ± 0.041 | 0.49 ± 0.04 | -0.057 ± 0.059 | 0.62 ± 0.11 | -0.120 ± 0.195 |
| FS aparc | freesurfer | 0.819 ± 0.028 | 0.888 ± 0.033 | 1.91 ± 0.13 | 0.524 ± 0.061 | 3.34 ± 0.26 | 0.183 ± 0.037 | 0.82 ± 0.09 | -0.036 ± 0.020 | 0.87 ± 0.05 | -0.031 ± 0.008 | 0.79 ± 0.05 | 0.006 ± 0.030 | 0.500 ± 0.000 | 0.498 ± 0.083 | 0.822 ± 0.045 | 0.908 ± 0.027 | 7.69 ± 0.54 | 0.753 ± 0.023 | 3.89 ± 0.26 | 0.250 ± 0.048 | 0.76 ± 0.09 | -0.102 ± 0.110 | 0.88 ± 0.13 | -0.089 ± 0.096 | 0.39 ± 0.11 | -1.097 ± 1.178 | 0.500 ± 0.000 | 0.517 ± 0.059 | 0.821 ± 0.028 | 0.899 ± 0.020 | 1.91 ± 0.06 | 0.577 ± 0.043 | 3.48 ± 0.24 | 0.204 ± 0.063 | 0.500 ± 0.000 | 0.545 ± 0.062 | 0.79 ± 0.04 | 0.033 ± 0.026 | 0.86 ± 0.02 | -0.001 ± 0.016 | 0.62 ± 0.02 | -0.008 ± 0.006 | 0.500 ± 0.000 | 0.504 ± 0.030 | 0.750 ± 0.033 | 0.811 ± 0.037 | 1.35 ± 0.12 | 0.165 ± 0.038 | 3.77 ± 0.43 | 0.023 ± 0.069 | 0.72 ± 0.07 | -0.020 ± 0.013 | 0.72 ± 0.09 | 0.015 ± 0.028 | 0.70 ± 0.10 | -0.028 ± 0.027 | 0.433 ± 0.084 | 0.489 ± 0.160 | 2.54 ± 0.46 | -0.058 ± 0.091 | 2.99 ± 0.27 | -0.088 ± 0.090 | 0.74 ± 0.10 | -0.026 ± 0.027 | 0.51 ± 0.07 | -0.113 ± 0.109 | 0.62 ± 0.11 | -0.112 ± 0.147 |
| FS Schaefer | freesurfer | 0.833 ± 0.020 | 0.891 ± 0.027 | 1.74 ± 0.14 | 0.589 ± 0.068 | 3.18 ± 0.26 | 0.235 ± 0.037 | 0.82 ± 0.08 | -0.027 ± 0.012 | 0.87 ± 0.05 | -0.031 ± 0.021 | 0.79 ± 0.05 | 0.006 ± 0.036 | 0.500 ± 0.000 | 0.529 ± 0.087 | 0.834 ± 0.018 | 0.929 ± 0.018 | 6.68 ± 0.30 | 0.816 ± 0.018 | 3.76 ± 0.23 | 0.286 ± 0.032 | 0.76 ± 0.09 | -0.109 ± 0.128 | 0.88 ± 0.12 | -0.092 ± 0.092 | 0.38 ± 0.11 | -1.106 ± 1.202 | 0.500 ± 0.000 | 0.530 ± 0.068 | 0.858 ± 0.015 | 0.940 ± 0.015 | 1.76 ± 0.08 | 0.644 ± 0.029 | 3.27 ± 0.25 | 0.257 ± 0.083 | 0.500 ± 0.000 | 0.542 ± 0.067 | 0.79 ± 0.04 | 0.034 ± 0.026 | 0.85 ± 0.02 | 0.011 ± 0.023 | 0.62 ± 0.02 | -0.007 ± 0.009 | 0.500 ± 0.000 | 0.506 ± 0.041 | 0.767 ± 0.041 | 0.831 ± 0.046 | 1.32 ± 0.10 | 0.192 ± 0.050 | 3.64 ± 0.51 | 0.048 ± 0.123 | 0.73 ± 0.06 | -0.026 ± 0.013 | 0.71 ± 0.09 | 0.016 ± 0.037 | 0.69 ± 0.10 | -0.014 ± 0.013 | 0.450 ± 0.058 | 0.511 ± 0.108 | 2.54 ± 0.49 | -0.044 ± 0.105 | 2.94 ± 0.29 | -0.051 ± 0.071 | 0.74 ± 0.10 | -0.024 ± 0.026 | 0.50 ± 0.05 | -0.078 ± 0.056 | 0.62 ± 0.11 | -0.110 ± 0.161 |
| NiChart-Brain2Vec | raw | 0.793 ± 0.037 | 0.876 ± 0.024 | 1.20 ± 0.07 | 0.796 ± 0.037 | 2.52 ± 0.21 | 0.524 ± 0.073 | 0.82 ± 0.08 | -0.021 ± 0.011 | 0.86 ± 0.05 | -0.028 ± 0.020 | 0.80 ± 0.05 | -0.010 ± 0.035 | 0.500 ± 0.000 | 0.522 ± 0.078 | 0.881 ± 0.031 | 0.958 ± 0.011 | 4.78 ± 0.22 | 0.906 ± 0.014 | 2.35 ± 0.25 | 0.709 ± 0.040 | 0.80 ± 0.05 | -0.226 ± 0.242 | 0.88 ± 0.12 | -0.113 ± 0.098 | 0.39 ± 0.11 | -1.128 ± 1.180 | 0.499 ± 0.002 | 0.581 ± 0.100 | 0.866 ± 0.026 | 0.941 ± 0.024 | 1.41 ± 0.04 | 0.763 ± 0.024 | 2.57 ± 0.23 | 0.556 ± 0.067 | 0.497 ± 0.005 | 0.527 ± 0.046 | 0.79 ± 0.04 | 0.037 ± 0.033 | 0.85 ± 0.02 | 0.009 ± 0.017 | 0.62 ± 0.02 | 0.004 ± 0.010 | 0.500 ± 0.000 | 0.480 ± 0.054 | 0.750 ± 0.096 | 0.836 ± 0.101 | 1.34 ± 0.06 | 0.183 ± 0.073 | 3.08 ± 0.19 | 0.297 ± 0.062 | 0.72 ± 0.06 | -0.007 ± 0.021 | 0.69 ± 0.08 | 0.062 ± 0.055 | 0.69 ± 0.11 | -0.013 ± 0.011 | 0.500 ± 0.089 | 0.408 ± 0.120 | 2.61 ± 0.51 | -0.080 ± 0.131 | 2.99 ± 0.23 | -0.097 ± 0.087 | 0.74 ± 0.10 | -0.026 ± 0.027 | 0.50 ± 0.03 | -0.116 ± 0.164 | 0.61 ± 0.11 | -0.099 ± 0.163 |
| SwinBrain | turboprep | 0.788 ± 0.030 | 0.867 ± 0.020 | 1.93 ± 0.21 | 0.503 ± 0.080 | 2.99 ± 0.45 | 0.358 ± 0.059 | 0.82 ± 0.08 | -0.019 ± 0.010 | 0.87 ± 0.04 | -0.017 ± 0.018 | 0.79 ± 0.05 | 0.008 ± 0.052 | 0.500 ± 0.000 | 0.483 ± 0.046 | 0.876 ± 0.043 | 0.962 ± 0.017 | 8.98 ± 0.76 | 0.657 ± 0.078 | 3.54 ± 0.14 | 0.330 ± 0.097 | 0.79 ± 0.08 | -0.178 ± 0.197 | 0.81 ± 0.16 | 0.050 ± 0.143 | 0.39 ± 0.11 | -1.366 ± 1.650 | 0.500 ± 0.000 | 0.539 ± 0.113 | 0.802 ± 0.041 | 0.879 ± 0.027 | 2.17 ± 0.05 | 0.461 ± 0.019 | 3.31 ± 0.41 | 0.289 ± 0.065 | 0.500 ± 0.000 | 0.523 ± 0.062 | 0.80 ± 0.04 | 0.022 ± 0.029 | 0.86 ± 0.03 | 0.001 ± 0.010 | 0.62 ± 0.02 | -0.008 ± 0.019 | 0.500 ± 0.000 | 0.567 ± 0.043 | 0.732 ± 0.055 | 0.818 ± 0.044 | 1.35 ± 0.10 | 0.133 ± 0.086 | 3.67 ± 0.42 | 0.045 ± 0.084 | 0.72 ± 0.07 | -0.024 ± 0.050 | 0.72 ± 0.09 | 0.009 ± 0.019 | 0.69 ± 0.10 | -0.015 ± 0.024 | 0.499 ± 0.048 | 0.581 ± 0.152 | 2.59 ± 0.40 | -0.079 ± 0.090 | 2.95 ± 0.28 | -0.054 ± 0.078 | 0.74 ± 0.10 | -0.040 ± 0.040 | 0.49 ± 0.03 | -0.091 ± 0.122 | 0.62 ± 0.11 | -0.109 ± 0.128 |
| SwinBrain | turboprep-affine | 0.770 ± 0.046 | 0.840 ± 0.034 | 1.73 ± 0.10 | 0.598 ± 0.051 | 3.07 ± 0.40 | 0.286 ± 0.065 | 0.81 ± 0.08 | -0.018 ± 0.024 | 0.86 ± 0.05 | -0.009 ± 0.063 | 0.78 ± 0.05 | 0.024 ± 0.029 | 0.500 ± 0.000 | 0.481 ± 0.048 | 0.815 ± 0.040 | 0.913 ± 0.012 | 7.68 ± 0.22 | 0.750 ± 0.034 | 3.48 ± 0.20 | 0.342 ± 0.021 | 0.75 ± 0.10 | -0.128 ± 0.220 | 0.84 ± 0.14 | -0.043 ± 0.114 | 0.39 ± 0.11 | -1.306 ± 1.368 | 0.500 ± 0.000 | 0.515 ± 0.126 | 0.811 ± 0.029 | 0.905 ± 0.021 | 1.96 ± 0.09 | 0.565 ± 0.042 | 3.32 ± 0.30 | 0.292 ± 0.074 | 0.500 ± 0.000 | 0.499 ± 0.024 | 0.80 ± 0.04 | 0.019 ± 0.024 | 0.86 ± 0.03 | 0.005 ± 0.009 | 0.62 ± 0.02 | 0.005 ± 0.005 | 0.500 ± 0.000 | 0.490 ± 0.049 | 0.694 ± 0.037 | 0.728 ± 0.043 | 1.36 ± 0.06 | 0.144 ± 0.074 | 3.35 ± 0.39 | 0.182 ± 0.084 | 0.71 ± 0.07 | -0.015 ± 0.021 | 0.72 ± 0.09 | 0.010 ± 0.045 | 0.69 ± 0.11 | -0.011 ± 0.012 | 0.469 ± 0.061 | 0.453 ± 0.115 | 2.55 ± 0.37 | -0.076 ± 0.114 | 2.94 ± 0.29 | -0.051 ± 0.076 | 0.73 ± 0.10 | -0.021 ± 0.028 | 0.49 ± 0.04 | -0.084 ± 0.156 | 0.64 ± 0.12 | -0.164 ± 0.196 |
| un-CNN † | turboprep | 0.856 ± 0.031 | 0.929 ± 0.025 | 1.46 ± 0.08 | 0.720 ± 0.045 | 2.66 ± 0.33 | 0.463 ± 0.051 | 0.82 ± 0.08 | -0.016 ± 0.005 | 0.93 ± 0.06 | -0.336 ± 0.388 | 0.79 ± 0.04 | -0.001 ± 0.045 | 0.500 ± 0.000 | 0.536 ± 0.091 | 0.913 ± 0.023 | 0.984 ± 0.006 | 4.94 ± 0.18 | 0.889 ± 0.015 | 2.88 ± 0.19 | 0.508 ± 0.136 | 0.73 ± 0.03 | -0.065 ± 0.217 | 0.85 ± 0.13 | -0.071 ± 0.135 | 0.36 ± 0.11 | -1.173 ± 1.385 | 0.500 ± 0.000 | 0.575 ± 0.057 | 0.881 ± 0.015 | 0.956 ± 0.011 | 1.49 ± 0.10 | 0.745 ± 0.022 | 2.54 ± 0.16 | 0.542 ± 0.068 | 0.500 ± 0.000 | 0.531 ± 0.052 | 0.79 ± 0.04 | 0.043 ± 0.039 | 0.86 ± 0.03 | 0.001 ± 0.013 | 0.61 ± 0.03 | 0.004 ± 0.012 | 0.500 ± 0.000 | 0.536 ± 0.070 | 0.812 ± 0.057 | 0.890 ± 0.055 | 1.25 ± 0.11 | 0.214 ± 0.148 | 3.07 ± 0.19 | 0.299 ± 0.121 | 0.71 ± 0.06 | -0.005 ± 0.027 | 0.69 ± 0.07 | 0.050 ± 0.038 | 0.68 ± 0.10 | 0.007 ± 0.031 | 0.533 ± 0.096 | 0.603 ± 0.189 | 2.58 ± 0.38 | -0.074 ± 0.135 | 2.95 ± 0.27 | -0.062 ± 0.075 | 0.76 ± 0.10 | -0.078 ± 0.034 | 0.49 ± 0.05 | -0.106 ± 0.094 | 0.61 ± 0.11 | -0.119 ± 0.296 |
| un-CNN † | turboprep-affine | 0.856 ± 0.036 | 0.922 ± 0.016 | 1.22 ± 0.15 | 0.798 ± 0.060 | 2.51 ± 0.23 | 0.510 ± 0.041 | 0.82 ± 0.08 | -0.015 ± 0.015 | 0.86 ± 0.05 | -0.013 ± 0.031 | 0.79 ± 0.04 | -0.002 ± 0.026 | 0.500 ± 0.000 | 0.497 ± 0.089 | 0.935 ± 0.020 | 0.982 ± 0.009 | 5.31 ± 0.73 | 0.878 ± 0.030 | 2.52 ± 0.15 | 0.644 ± 0.044 | 0.78 ± 0.04 | -0.204 ± 0.323 | 0.82 ± 0.15 | -0.044 ± 0.215 | 0.38 ± 0.11 | -1.230 ± 1.242 | 0.500 ± 0.000 | 0.575 ± 0.090 | 0.927 ± 0.015 | 0.977 ± 0.007 | 1.36 ± 0.04 | 0.783 ± 0.018 | 2.33 ± 0.24 | 0.614 ± 0.077 | 0.500 ± 0.000 | 0.511 ± 0.038 | 0.79 ± 0.04 | 0.042 ± 0.026 | 0.86 ± 0.03 | 0.009 ± 0.015 | 0.62 ± 0.03 | -0.002 ± 0.016 | 0.500 ± 0.000 | 0.538 ± 0.030 | 0.814 ± 0.054 | 0.883 ± 0.024 | 1.25 ± 0.15 | 0.269 ± 0.071 | 3.34 ± 0.32 | 0.233 ± 0.040 | 0.71 ± 0.06 | -0.002 ± 0.021 | 0.70 ± 0.08 | 0.068 ± 0.027 | 0.68 ± 0.10 | 0.001 ± 0.027 | 0.412 ± 0.212 | 0.519 ± 0.283 | 2.55 ± 0.41 | -0.048 ± 0.146 | 2.97 ± 0.26 | -0.081 ± 0.171 | 0.74 ± 0.11 | -0.042 ± 0.047 | 0.49 ± 0.04 | -0.149 ± 0.217 | 0.61 ± 0.10 | -0.090 ± 0.197 |
| RandomForest probe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 3D-Neuro-SimCLR | turboprep | 0.768 ± 0.049 | 0.816 ± 0.034 | 1.64 ± 0.12 | 0.654 ± 0.046 | 3.02 ± 0.29 | 0.336 ± 0.060 | 0.81 ± 0.08 | -0.019 ± 0.013 | 0.87 ± 0.04 | -0.041 ± 0.045 | 0.79 ± 0.04 | 0.019 ± 0.049 | 0.508 ± 0.024 | 0.565 ± 0.095 | 0.835 ± 0.023 | 0.928 ± 0.010 | 5.86 ± 0.58 | 0.841 ± 0.029 | 3.52 ± 0.17 | 0.341 ± 0.030 | 0.80 ± 0.05 | -0.303 ± 0.332 | 0.81 ± 0.13 | -0.028 ± 0.078 | 0.40 ± 0.10 | -2.376 ± 3.062 | 0.500 ± 0.000 | 0.494 ± 0.055 | 0.788 ± 0.038 | 0.868 ± 0.037 | 1.68 ± 0.07 | 0.669 ± 0.021 | 3.44 ± 0.32 | 0.177 ± 0.065 | 0.500 ± 0.021 | 0.534 ± 0.024 | 0.78 ± 0.04 | 0.045 ± 0.045 | 0.85 ± 0.04 | 0.014 ± 0.026 | 0.61 ± 0.02 | -0.007 ± 0.013 | 0.500 ± 0.005 | 0.415 ± 0.038 | 0.712 ± 0.046 | 0.782 ± 0.064 | 1.31 ± 0.11 | 0.206 ± 0.045 | 3.40 ± 0.35 | 0.218 ± 0.085 | 0.68 ± 0.04 | 0.022 ± 0.085 | 0.73 ± 0.08 | -0.008 ± 0.041 | 0.69 ± 0.10 | -0.029 ± 0.059 | 0.522 ± 0.064 | 0.436 ± 0.095 | 2.73 ± 0.44 | -0.181 ± 0.188 | 3.22 ± 0.33 | -0.190 ± 0.228 | 0.78 ± 0.09 | -0.163 ± 0.123 | 0.52 ± 0.06 | -0.246 ± 0.167 | 0.66 ± 0.11 | -0.287 ± 0.283 |
| 3D-Neuro-SimCLR | turboprep-affine | 0.671 ± 0.050 | 0.730 ± 0.048 | 1.41 ± 0.10 | 0.727 ± 0.045 | 2.93 ± 0.26 | 0.296 ± 0.100 | 0.82 ± 0.08 | -0.014 ± 0.025 | 0.87 ± 0.05 | -0.046 ± 0.035 | 0.79 ± 0.04 | 0.011 ± 0.037 | 0.500 ± 0.000 | 0.532 ± 0.058 | 0.746 ± 0.058 | 0.846 ± 0.049 | 5.26 ± 0.30 | 0.866 ± 0.021 | 2.71 ± 0.21 | 0.582 ± 0.027 | 0.82 ± 0.02 | -0.370 ± 0.424 | 0.88 ± 0.10 | -0.133 ± 0.096 | 0.44 ± 0.13 | -2.511 ± 2.669 | 0.500 ± 0.000 | 0.525 ± 0.177 | 0.745 ± 0.020 | 0.802 ± 0.030 | 1.62 ± 0.08 | 0.687 ± 0.022 | 3.12 ± 0.39 | 0.357 ± 0.030 | 0.507 ± 0.023 | 0.516 ± 0.038 | 0.79 ± 0.04 | 0.023 ± 0.038 | 0.87 ± 0.03 | -0.016 ± 0.015 | 0.63 ± 0.03 | -0.043 ± 0.019 | 0.504 ± 0.011 | 0.433 ± 0.037 | 0.678 ± 0.061 | 0.754 ± 0.048 | 1.25 ± 0.09 | 0.265 ± 0.063 | 3.40 ± 0.30 | 0.198 ± 0.033 | 0.71 ± 0.05 | -0.005 ± 0.038 | 0.71 ± 0.09 | 0.039 ± 0.039 | 0.70 ± 0.12 | -0.062 ± 0.056 | 0.485 ± 0.068 | 0.481 ± 0.061 | 2.63 ± 0.52 | -0.150 ± 0.223 | 3.20 ± 0.33 | -0.187 ± 0.282 | 0.76 ± 0.11 | -0.072 ± 0.064 | 0.50 ± 0.03 | -0.300 ± 0.262 | 0.69 ± 0.10 | -0.253 ± 0.378 |
| AnatCL (Global) | cat12 | 0.723 ± 0.060 | 0.802 ± 0.049 | 1.78 ± 0.18 | 0.595 ± 0.045 | 3.39 ± 0.33 | 0.148 ± 0.058 | 0.83 ± 0.07 | -0.032 ± 0.027 | 0.86 ± 0.04 | -0.034 ± 0.036 | 0.80 ± 0.05 | -0.031 ± 0.052 | 0.500 ± 0.000 | 0.537 ± 0.080 | 0.738 ± 0.031 | 0.850 ± 0.028 | 6.26 ± 0.43 | 0.825 ± 0.024 | 3.92 ± 0.22 | 0.183 ± 0.029 | 0.79 ± 0.07 | -0.171 ± 0.294 | 0.86 ± 0.13 | -0.064 ± 0.110 | 0.46 ± 0.09 | -3.018 ± 2.921 | 0.500 ± 0.000 | 0.500 ± 0.052 | 0.723 ± 0.055 | 0.808 ± 0.058 | 1.88 ± 0.05 | 0.603 ± 0.026 | 3.63 ± 0.40 | 0.140 ± 0.087 | 0.481 ± 0.006 | 0.489 ± 0.066 | 0.79 ± 0.05 | 0.030 ± 0.039 | 0.87 ± 0.03 | -0.019 ± 0.016 | 0.62 ± 0.02 | -0.023 ± 0.011 | 0.492 ± 0.003 | 0.523 ± 0.069 | 0.647 ± 0.050 | 0.750 ± 0.054 | 1.30 ± 0.07 | 0.184 ± 0.070 | 3.86 ± 0.56 | -0.040 ± 0.130 | 0.73 ± 0.06 | -0.067 ± 0.070 | 0.73 ± 0.07 | -0.031 ± 0.053 | 0.71 ± 0.10 | -0.058 ± 0.069 | 0.518 ± 0.132 | 0.519 ± 0.233 | 2.58 ± 0.39 | -0.114 ± 0.186 | 2.91 ± 0.31 | 0.007 ± 0.143 | 0.72 ± 0.08 | -0.001 ± 0.108 | 0.51 ± 0.05 | -0.161 ± 0.107 | 0.61 ± 0.13 | -0.164 ± 0.260 |
| AnatCL (Local) | cat12 | 0.707 ± 0.063 | 0.783 ± 0.058 | 1.85 ± 0.10 | 0.556 ± 0.056 | 3.34 ± 0.40 | 0.178 ± 0.049 | 0.82 ± 0.08 | -0.023 ± 0.012 | 0.86 ± 0.05 | -0.025 ± 0.019 | 0.80 ± 0.05 | -0.027 ± 0.056 | 0.500 ± 0.000 | 0.507 ± 0.055 | 0.765 ± 0.024 | 0.868 ± 0.024 | 6.19 ± 0.47 | 0.823 ± 0.023 | 3.92 ± 0.25 | 0.197 ± 0.019 | 0.84 ± 0.07 | -0.383 ± 0.398 | 0.85 ± 0.10 | -0.050 ± 0.122 | 0.44 ± 0.11 | -2.831 ± 3.173 | 0.500 ± 0.000 | 0.494 ± 0.047 | 0.719 ± 0.059 | 0.812 ± 0.054 | 1.83 ± 0.09 | 0.619 ± 0.031 | 3.70 ± 0.39 | 0.096 ± 0.066 | 0.481 ± 0.022 | 0.518 ± 0.053 | 0.79 ± 0.05 | 0.029 ± 0.031 | 0.87 ± 0.03 | -0.020 ± 0.021 | 0.62 ± 0.02 | -0.028 ± 0.024 | 0.498 ± 0.002 | 0.533 ± 0.058 | 0.659 ± 0.064 | 0.733 ± 0.067 | 1.33 ± 0.06 | 0.141 ± 0.063 | 3.83 ± 0.46 | 0.001 ± 0.072 | 0.73 ± 0.07 | -0.064 ± 0.037 | 0.74 ± 0.08 | -0.037 ± 0.036 | 0.69 ± 0.10 | -0.037 ± 0.060 | 0.472 ± 0.197 | 0.497 ± 0.202 | 2.53 ± 0.42 | -0.042 ± 0.211 | 3.22 ± 0.36 | -0.206 ± 0.135 | 0.73 ± 0.09 | -0.010 ± 0.050 | 0.51 ± 0.05 | -0.210 ± 0.202 | 0.60 ± 0.13 | -0.005 ± 0.140 |
| BrainIAC | turboprep | 0.744 ± 0.034 | 0.827 ± 0.026 | 2.61 ± 0.07 | 0.200 ± 0.049 | 3.59 ± 0.49 | 0.069 ± 0.072 | 0.82 ± 0.09 | -0.045 ± 0.040 | 0.86 ± 0.05 | -0.021 ± 0.015 | 0.81 ± 0.04 | -0.019 ± 0.008 | 0.494 ± 0.005 | 0.528 ± 0.052 | 0.810 ± 0.031 | 0.898 ± 0.021 | 13.96 ± 0.59 | 0.269 ± 0.034 | 4.16 ± 0.25 | 0.108 ± 0.025 | 0.80 ± 0.08 | -0.285 ± 0.228 | 0.84 ± 0.18 | -0.047 ± 0.183 | 0.37 ± 0.10 | -1.199 ± 1.144 | 0.500 ± 0.000 | 0.512 ± 0.074 | 0.768 ± 0.038 | 0.834 ± 0.039 | 2.91 ± 0.09 | 0.113 ± 0.039 | 3.86 ± 0.35 | 0.034 ± 0.046 | 0.497 ± 0.017 | 0.490 ± 0.063 | 0.80 ± 0.03 | -0.001 ± 0.020 | 0.87 ± 0.04 | -0.013 ± 0.017 | 0.62 ± 0.02 | -0.027 ± 0.028 | 0.503 ± 0.016 | 0.523 ± 0.019 | 0.716 ± 0.042 | 0.756 ± 0.062 | 1.47 ± 0.10 | 0.016 ± 0.042 | 3.67 ± 0.40 | 0.067 ± 0.105 | 0.74 ± 0.08 | -0.089 ± 0.051 | 0.72 ± 0.08 | 0.002 ± 0.027 | 0.70 ± 0.10 | -0.052 ± 0.023 | 0.604 ± 0.144 | 0.592 ± 0.139 | 2.69 ± 0.40 | -0.155 ± 0.173 | 3.13 ± 0.24 | -0.112 ± 0.085 | 0.77 ± 0.12 | -0.143 ± 0.094 | 0.54 ± 0.05 | -0.201 ± 0.096 | 0.64 ± 0.14 | -0.195 ± 0.037 |
| BrainIAC | turboprep-affine | 0.604 ± 0.065 | 0.632 ± 0.084 | 2.53 ± 0.06 | 0.227 ± 0.020 | 3.52 ± 0.41 | 0.118 ± 0.066 | 0.81 ± 0.08 | -0.017 ± 0.018 | 0.86 ± 0.06 | -0.021 ± 0.038 | 0.81 ± 0.05 | -0.033 ± 0.025 | 0.493 ± 0.007 | 0.597 ± 0.109 | 0.566 ± 0.043 | 0.648 ± 0.060 | 13.36 ± 0.69 | 0.346 ± 0.037 | 4.01 ± 0.19 | 0.152 ± 0.060 | 0.74 ± 0.08 | -0.147 ± 0.219 | 0.87 ± 0.12 | -0.182 ± 0.136 | 0.46 ± 0.13 | -3.139 ± 3.225 | 0.495 ± 0.004 | 0.433 ± 0.124 | 0.599 ± 0.036 | 0.657 ± 0.040 | 2.73 ± 0.14 | 0.207 ± 0.068 | 3.80 ± 0.41 | 0.056 ± 0.042 | 0.492 ± 0.013 | 0.505 ± 0.035 | 0.81 ± 0.04 | -0.020 ± 0.020 | 0.86 ± 0.03 | -0.015 ± 0.041 | 0.63 ± 0.03 | -0.041 ± 0.052 | 0.502 ± 0.013 | 0.543 ± 0.044 | 0.560 ± 0.049 | 0.593 ± 0.049 | 1.40 ± 0.08 | 0.074 ± 0.092 | 3.66 ± 0.36 | 0.022 ± 0.050 | 0.73 ± 0.06 | -0.071 ± 0.070 | 0.74 ± 0.07 | -0.050 ± 0.084 | 0.69 ± 0.12 | -0.044 ± 0.087 | 0.540 ± 0.090 | 0.497 ± 0.135 | 2.58 ± 0.39 | -0.095 ± 0.140 | 3.17 ± 0.45 | -0.166 ± 0.046 | 0.73 ± 0.13 | -0.087 ± 0.174 | 0.50 ± 0.03 | -0.106 ± 0.043 | 0.66 ± 0.11 | -0.207 ± 0.369 |
| Dinov3D-neuro | turboprep | 0.696 ± 0.041 | 0.781 ± 0.028 | 1.96 ± 0.11 | 0.510 ± 0.026 | 3.23 ± 0.27 | 0.230 ± 0.044 | 0.83 ± 0.09 | -0.048 ± 0.034 | 0.86 ± 0.05 | -0.015 ± 0.034 | 0.80 ± 0.04 | -0.013 ± 0.029 | 0.499 ± 0.002 | 0.540 ± 0.052 | 0.757 ± 0.045 | 0.864 ± 0.042 | 8.29 ± 0.57 | 0.696 ± 0.067 | 3.69 ± 0.12 | 0.318 ± 0.049 | 0.80 ± 0.07 | -0.171 ± 0.224 | 0.81 ± 0.15 | 0.009 ± 0.181 | 0.43 ± 0.13 | -1.893 ± 2.275 | 0.500 ± 0.000 | 0.451 ± 0.059 | 0.738 ± 0.040 | 0.796 ± 0.042 | 2.14 ± 0.14 | 0.488 ± 0.038 | 3.67 ± 0.34 | 0.125 ± 0.073 | 0.501 ± 0.009 | 0.480 ± 0.052 | 0.80 ± 0.04 | 0.008 ± 0.026 | 0.86 ± 0.02 | -0.006 ± 0.024 | 0.61 ± 0.01 | -0.008 ± 0.028 | 0.499 ± 0.002 | 0.455 ± 0.085 | 0.656 ± 0.044 | 0.731 ± 0.050 | 1.41 ± 0.11 | 0.053 ± 0.040 | 3.80 ± 0.34 | 0.037 ± 0.073 | 0.71 ± 0.07 | -0.014 ± 0.045 | 0.72 ± 0.07 | -0.011 ± 0.036 | 0.70 ± 0.10 | -0.040 ± 0.047 | 0.529 ± 0.169 | 0.561 ± 0.160 | 2.63 ± 0.35 | -0.135 ± 0.196 | 2.84 ± 0.42 | 0.001 ± 0.081 | 0.76 ± 0.11 | -0.131 ± 0.103 | 0.49 ± 0.06 | -0.088 ± 0.123 | 0.64 ± 0.09 | -0.165 ± 0.265 |
| Dinov3D-neuro | turboprep-affine | 0.634 ± 0.028 | 0.672 ± 0.021 | 2.16 ± 0.16 | 0.419 ± 0.035 | 3.39 ± 0.39 | 0.158 ± 0.046 | 0.82 ± 0.08 | -0.033 ± 0.033 | 0.86 ± 0.05 | -0.003 ± 0.037 | 0.79 ± 0.03 | 0.001 ± 0.017 | 0.500 ± 0.000 | 0.512 ± 0.045 | 0.674 ± 0.047 | 0.780 ± 0.062 | 8.86 ± 0.30 | 0.692 ± 0.049 | 3.72 ± 0.20 | 0.272 ± 0.007 | 0.79 ± 0.04 | -0.185 ± 0.382 | 0.84 ± 0.15 | -0.059 ± 0.193 | 0.39 ± 0.11 | -2.342 ± 3.510 | 0.500 ± 0.000 | 0.462 ± 0.059 | 0.710 ± 0.035 | 0.803 ± 0.026 | 2.21 ± 0.10 | 0.461 ± 0.033 | 3.66 ± 0.39 | 0.139 ± 0.025 | 0.497 ± 0.005 | 0.492 ± 0.025 | 0.81 ± 0.03 | -0.001 ± 0.024 | 0.87 ± 0.03 | -0.017 ± 0.010 | 0.62 ± 0.02 | -0.016 ± 0.014 | 0.504 ± 0.011 | 0.422 ± 0.039 | 0.612 ± 0.048 | 0.683 ± 0.054 | 1.37 ± 0.11 | 0.101 ± 0.045 | 3.76 ± 0.33 | 0.009 ± 0.044 | 0.74 ± 0.06 | -0.058 ± 0.079 | 0.71 ± 0.07 | 0.025 ± 0.052 | 0.68 ± 0.11 | 0.001 ± 0.030 | 0.526 ± 0.145 | 0.542 ± 0.180 | 2.60 ± 0.39 | -0.058 ± 0.198 | 3.01 ± 0.25 | -0.093 ± 0.122 | 0.75 ± 0.09 | -0.076 ± 0.073 | 0.52 ± 0.04 | -0.241 ± 0.178 | 0.66 ± 0.14 | -0.214 ± 0.189 |
| FS aparc | freesurfer | 0.740 ± 0.034 | 0.824 ± 0.020 | 2.13 ± 0.17 | 0.448 ± 0.034 | 3.51 ± 0.31 | 0.115 ± 0.037 | 0.81 ± 0.08 | -0.022 ± 0.016 | 0.86 ± 0.04 | -0.028 ± 0.019 | 0.79 ± 0.06 | -0.019 ± 0.052 | 0.499 ± 0.002 | 0.513 ± 0.074 | 0.770 ± 0.023 | 0.862 ± 0.026 | 9.09 ± 0.63 | 0.662 ± 0.024 | 3.99 ± 0.36 | 0.193 ± 0.045 | 0.77 ± 0.08 | -0.158 ± 0.240 | 0.90 ± 0.11 | -0.169 ± 0.257 | 0.43 ± 0.12 | -2.732 ± 3.705 | 0.500 ± 0.000 | 0.500 ± 0.109 | 0.755 ± 0.031 | 0.842 ± 0.044 | 2.15 ± 0.04 | 0.484 ± 0.046 | 3.64 ± 0.38 | 0.117 ± 0.030 | 0.493 ± 0.018 | 0.528 ± 0.037 | 0.79 ± 0.04 | 0.043 ± 0.029 | 0.86 ± 0.03 | -0.006 ± 0.009 | 0.62 ± 0.02 | -0.015 ± 0.015 | 0.501 ± 0.010 | 0.471 ± 0.050 | 0.722 ± 0.068 | 0.777 ± 0.057 | 1.40 ± 0.12 | 0.103 ± 0.052 | 3.85 ± 0.56 | -0.006 ± 0.121 | 0.73 ± 0.07 | -0.048 ± 0.053 | 0.73 ± 0.09 | -0.011 ± 0.044 | 0.70 ± 0.10 | -0.053 ± 0.055 | 0.574 ± 0.104 | 0.556 ± 0.124 | 2.57 ± 0.45 | -0.092 ± 0.135 | 3.07 ± 0.36 | -0.115 ± 0.085 | 0.74 ± 0.08 | -0.090 ± 0.077 | 0.55 ± 0.06 | -0.290 ± 0.137 | 0.63 ± 0.11 | -0.109 ± 0.114 |
| FS Schaefer | freesurfer | 0.736 ± 0.028 | 0.829 ± 0.019 | 2.16 ± 0.19 | 0.425 ± 0.062 | 3.44 ± 0.31 | 0.137 ± 0.049 | 0.82 ± 0.08 | -0.034 ± 0.020 | 0.87 ± 0.05 | -0.042 ± 0.014 | 0.79 ± 0.05 | -0.009 ± 0.046 | 0.500 ± 0.000 | 0.516 ± 0.088 | 0.740 ± 0.016 | 0.862 ± 0.019 | 8.29 ± 0.38 | 0.722 ± 0.016 | 3.99 ± 0.35 | 0.203 ± 0.045 | 0.76 ± 0.06 | -0.181 ± 0.266 | 0.91 ± 0.09 | -0.188 ± 0.088 | 0.41 ± 0.11 | -2.261 ± 2.680 | 0.500 ± 0.000 | 0.603 ± 0.052 | 0.776 ± 0.044 | 0.850 ± 0.044 | 2.00 ± 0.04 | 0.543 ± 0.041 | 3.44 ± 0.34 | 0.201 ± 0.025 | 0.499 ± 0.002 | 0.535 ± 0.033 | 0.79 ± 0.04 | 0.036 ± 0.036 | 0.86 ± 0.03 | -0.010 ± 0.005 | 0.61 ± 0.02 | -0.011 ± 0.015 | 0.500 ± 0.000 | 0.494 ± 0.058 | 0.688 ± 0.077 | 0.774 ± 0.071 | 1.39 ± 0.13 | 0.118 ± 0.064 | 3.88 ± 0.51 | -0.071 ± 0.092 | 0.74 ± 0.07 | -0.075 ± 0.041 | 0.73 ± 0.09 | -0.021 ± 0.037 | 0.71 ± 0.11 | -0.066 ± 0.044 | 0.482 ± 0.143 | 0.483 ± 0.182 | 2.48 ± 0.49 | -0.017 ± 0.146 | 2.95 ± 0.30 | -0.053 ± 0.100 | 0.73 ± 0.11 | -0.042 ± 0.061 | 0.50 ± 0.06 | -0.110 ± 0.202 | 0.62 ± 0.11 | -0.082 ± 0.170 |
| NiChart-Brain2Vec | raw | 0.727 ± 0.048 | 0.811 ± 0.039 | 1.49 ± 0.09 | 0.700 ± 0.040 | 3.01 ± 0.27 | 0.293 ± 0.054 | 0.82 ± 0.07 | -0.031 ± 0.040 | 0.87 ± 0.04 | -0.042 ± 0.044 | 0.80 ± 0.05 | -0.025 ± 0.031 | 0.498 ± 0.003 | 0.582 ± 0.106 | 0.856 ± 0.044 | 0.933 ± 0.021 | 4.83 ± 0.43 | 0.890 ± 0.029 | 2.98 ± 0.28 | 0.533 ± 0.033 | 0.79 ± 0.03 | -0.273 ± 0.287 | 0.87 ± 0.15 | -0.067 ± 0.159 | 0.42 ± 0.12 | -1.808 ± 1.507 | 0.500 ± 0.000 | 0.548 ± 0.140 | 0.801 ± 0.051 | 0.871 ± 0.041 | 1.54 ± 0.10 | 0.711 ± 0.023 | 2.97 ± 0.29 | 0.379 ± 0.082 | 0.489 ± 0.013 | 0.533 ± 0.040 | 0.78 ± 0.04 | 0.040 ± 0.046 | 0.86 ± 0.02 | -0.008 ± 0.024 | 0.62 ± 0.02 | -0.014 ± 0.019 | 0.499 ± 0.002 | 0.493 ± 0.057 | 0.652 ± 0.053 | 0.778 ± 0.063 | 1.35 ± 0.07 | 0.144 ± 0.072 | 3.45 ± 0.32 | 0.177 ± 0.068 | 0.73 ± 0.07 | -0.059 ± 0.031 | 0.69 ± 0.07 | 0.061 ± 0.060 | 0.69 ± 0.11 | -0.013 ± 0.010 | 0.460 ± 0.108 | 0.447 ± 0.175 | 2.78 ± 0.63 | -0.214 ± 0.301 | 3.08 ± 0.26 | -0.165 ± 0.268 | 0.77 ± 0.10 | -0.157 ± 0.113 | 0.53 ± 0.03 | -0.279 ± 0.208 | 0.65 ± 0.09 | -0.240 ± 0.283 |
| SwinBrain | turboprep | 0.744 ± 0.038 | 0.835 ± 0.029 | 2.39 ± 0.11 | 0.278 ± 0.073 | 3.41 ± 0.36 | 0.146 ± 0.042 | 0.83 ± 0.08 | -0.046 ± 0.005 | 0.86 ± 0.05 | -0.007 ± 0.015 | 0.81 ± 0.05 | -0.013 ± 0.035 | 0.507 ± 0.017 | 0.535 ± 0.040 | 0.855 ± 0.023 | 0.922 ± 0.016 | 9.47 ± 0.54 | 0.623 ± 0.026 | 3.97 ± 0.20 | 0.165 ± 0.034 | 0.78 ± 0.07 | -0.267 ± 0.269 | 0.83 ± 0.16 | -0.029 ± 0.138 | 0.46 ± 0.12 | -3.470 ± 4.542 | 0.500 ± 0.000 | 0.435 ± 0.106 | 0.771 ± 0.031 | 0.842 ± 0.037 | 2.63 ± 0.10 | 0.261 ± 0.042 | 3.70 ± 0.42 | 0.113 ± 0.027 | 0.499 ± 0.029 | 0.489 ± 0.053 | 0.79 ± 0.04 | 0.015 ± 0.024 | 0.86 ± 0.03 | -0.005 ± 0.023 | 0.62 ± 0.02 | -0.015 ± 0.042 | 0.499 ± 0.002 | 0.507 ± 0.078 | 0.717 ± 0.030 | 0.765 ± 0.045 | 1.40 ± 0.09 | 0.078 ± 0.053 | 3.99 ± 0.70 | -0.160 ± 0.325 | 0.73 ± 0.07 | -0.048 ± 0.076 | 0.73 ± 0.10 | -0.003 ± 0.036 | 0.68 ± 0.10 | -0.020 ± 0.032 | 0.556 ± 0.049 | 0.597 ± 0.086 | 2.59 ± 0.32 | -0.085 ± 0.191 | 3.02 ± 0.29 | -0.085 ± 0.216 | 0.77 ± 0.09 | -0.129 ± 0.082 | 0.52 ± 0.05 | -0.236 ± 0.195 | 0.64 ± 0.10 | -0.215 ± 0.161 |
| SwinBrain | turboprep-affine | 0.661 ± 0.040 | 0.735 ± 0.043 | 2.13 ± 0.05 | 0.425 ± 0.037 | 3.27 ± 0.38 | 0.194 ± 0.031 | 0.82 ± 0.08 | -0.031 ± 0.053 | 0.86 ± 0.04 | 0.001 ± 0.034 | 0.78 ± 0.05 | 0.029 ± 0.032 | 0.500 ± 0.000 | 0.523 ± 0.018 | 0.684 ± 0.043 | 0.809 ± 0.027 | 9.02 ± 0.31 | 0.654 ± 0.050 | 3.95 ± 0.21 | 0.184 ± 0.027 | 0.75 ± 0.10 | -0.079 ± 0.237 | 0.83 ± 0.11 | -0.012 ± 0.092 | 0.42 ± 0.12 | -2.048 ± 2.514 | 0.500 ± 0.000 | 0.398 ± 0.093 | 0.738 ± 0.034 | 0.806 ± 0.031 | 2.37 ± 0.08 | 0.389 ± 0.040 | 3.51 ± 0.40 | 0.203 ± 0.047 | 0.497 ± 0.005 | 0.483 ± 0.037 | 0.80 ± 0.04 | 0.007 ± 0.030 | 0.86 ± 0.03 | 0.006 ± 0.016 | 0.62 ± 0.02 | -0.012 ± 0.028 | 0.499 ± 0.002 | 0.498 ± 0.062 | 0.627 ± 0.052 | 0.633 ± 0.089 | 1.38 ± 0.11 | 0.131 ± 0.055 | 3.69 ± 0.44 | 0.061 ± 0.049 | 0.70 ± 0.06 | 0.005 ± 0.040 | 0.71 ± 0.08 | 0.006 ± 0.034 | 0.71 ± 0.11 | -0.042 ± 0.044 | 0.412 ± 0.100 | 0.400 ± 0.111 | 2.53 ± 0.33 | -0.088 ± 0.224 | 3.00 ± 0.32 | -0.105 ± 0.035 | 0.72 ± 0.10 | 0.012 ± 0.089 | 0.51 ± 0.01 | -0.170 ± 0.097 | 0.67 ± 0.13 | -0.340 ± 0.268 |
| un-CNN † | turboprep | 0.772 ± 0.043 | 0.836 ± 0.039 | 1.42 ± 0.08 | 0.741 ± 0.017 | 2.70 ± 0.33 | 0.427 ± 0.063 | 0.82 ± 0.08 | -0.017 ± 0.018 | 0.86 ± 0.05 | -0.019 ± 0.038 | 0.80 ± 0.04 | -0.023 ± 0.054 | 0.509 ± 0.018 | 0.537 ± 0.046 | 0.857 ± 0.032 | 0.951 ± 0.017 | 5.11 ± 0.22 | 0.868 ± 0.018 | 3.13 ± 0.11 | 0.461 ± 0.079 | 0.75 ± 0.03 | -0.171 ± 0.368 | 0.87 ± 0.14 | -0.110 ± 0.168 | 0.37 ± 0.12 | -1.519 ± 1.482 | 0.500 ± 0.000 | 0.559 ± 0.049 | 0.787 ± 0.034 | 0.874 ± 0.032 | 1.60 ± 0.07 | 0.697 ± 0.012 | 2.97 ± 0.26 | 0.404 ± 0.059 | 0.512 ± 0.031 | 0.549 ± 0.033 | 0.78 ± 0.04 | 0.049 ± 0.057 | 0.87 ± 0.03 | -0.015 ± 0.018 | 0.62 ± 0.02 | -0.008 ± 0.022 | 0.507 ± 0.016 | 0.516 ± 0.027 | 0.741 ± 0.048 | 0.806 ± 0.053 | 1.26 ± 0.06 | 0.251 ± 0.048 | 3.31 ± 0.13 | 0.241 ± 0.088 | 0.71 ± 0.06 | -0.032 ± 0.036 | 0.70 ± 0.06 | 0.032 ± 0.085 | 0.67 ± 0.11 | 0.020 ± 0.026 | 0.575 ± 0.158 | 0.594 ± 0.223 | 2.59 ± 0.43 | -0.093 ± 0.158 | 3.02 ± 0.29 | -0.108 ± 0.153 | 0.79 ± 0.11 | -0.183 ± 0.048 | 0.50 ± 0.06 | -0.172 ± 0.264 | 0.64 ± 0.09 | -0.225 ± 0.340 |
| un-CNN † | turboprep-affine | 0.692 ± 0.027 | 0.779 ± 0.022 | 1.44 ± 0.05 | 0.723 ± 0.024 | 2.77 ± 0.21 | 0.384 ± 0.057 | 0.82 ± 0.08 | -0.032 ± 0.016 | 0.85 ± 0.06 | 0.003 ± 0.058 | 0.80 ± 0.05 | -0.009 ± 0.040 | 0.500 ± 0.000 | 0.496 ± 0.086 | 0.812 ± 0.029 | 0.922 ± 0.028 | 5.37 ± 0.51 | 0.863 ± 0.032 | 2.60 ± 0.15 | 0.615 ± 0.008 | 0.79 ± 0.03 | -0.275 ± 0.361 | 0.85 ± 0.15 | -0.082 ± 0.248 | 0.41 ± 0.13 | -2.069 ± 1.855 | 0.500 ± 0.000 | 0.552 ± 0.123 | 0.779 ± 0.034 | 0.863 ± 0.021 | 1.59 ± 0.04 | 0.700 ± 0.009 | 2.74 ± 0.25 | 0.479 ± 0.038 | 0.511 ± 0.013 | 0.543 ± 0.037 | 0.79 ± 0.04 | 0.032 ± 0.041 | 0.86 ± 0.03 | -0.007 ± 0.015 | 0.62 ± 0.03 | -0.027 ± 0.023 | 0.505 ± 0.010 | 0.481 ± 0.041 | 0.664 ± 0.034 | 0.741 ± 0.044 | 1.31 ± 0.10 | 0.196 ± 0.076 | 3.37 ± 0.38 | 0.232 ± 0.067 | 0.71 ± 0.06 | 0.018 ± 0.034 | 0.71 ± 0.07 | 0.044 ± 0.050 | 0.69 ± 0.10 | -0.026 ± 0.032 | 0.443 ± 0.142 | 0.508 ± 0.196 | 2.61 ± 0.46 | -0.110 ± 0.205 | 3.10 ± 0.30 | -0.129 ± 0.156 | 0.76 ± 0.11 | -0.093 ± 0.110 | 0.49 ± 0.03 | -0.126 ± 0.205 | 0.65 ± 0.11 | -0.175 ± 0.197 |
† un-CNN: Maintainers' own model.
| Model | Preprocessing | Dim | Links |
|---|---|---|---|
| 3D-Neuro-SimCLR | turboprep | 512 | paper · code |
| AnatCL (Global) | cat12 | 512 | paper · code |
| AnatCL (Local) | cat12 | 512 | paper · code |
| BrainIAC | turboprep | 768 | paper · code |
| Dinov3D-neuro | turboprep | 792 | model card |
| FS Schaefer | FreeSurfer v6.0.1 (RBC): Schaefer 400 cortical thickness and surface area | 800 | paper |
| FS aparc | FreeSurfer v6.0.1 (RBC): aparc 68 cortical thickness and surface area | 136 | paper |
| NiChart-Brain2Vec | Own pipeline: NiChart DLMUSE (DLICV skull stripping) + FSL FLIRT to the Brain2Vec template | 768 | paper · model card · code · project |
| SwinBrain | turboprep | 384 | paper · code |
| un-CNN | turboprep | 9664 | paper · model card · code |