HCP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Sex Classification | HCP | Accuracy96.28 | 59 | |
| Fixel-based analysis | HCP 8 subjects (test) | FOD ACC80.7 | 36 | |
| Mental state decoding | HCP (test) | Accuracy94.8 | 36 | |
| Image Registration | HCP | Dice Score80.5 | 34 | |
| Deformable registration | HCP T2w–T1w (test) | Dice79.7 | 30 | |
| Motion Correction | HCP T2w contrast | PSNR (dB)40.01 | 24 | |
| Motion Correction | HCP T1w contrast | PSNR (dB)38.7 | 24 | |
| Brain Tissue Segmentation | HCP | Dice (%)85.03 | 24 | |
| Fixel-based analysis | HCP 8 subjects | FOD ACC85.6 | 21 | |
| fMRI Task Classification | HCP Task fMRI (5 splits) | Accuracy90.1 | 21 | |
| Age Regression | HCP | MAE0.699 | 20 | |
| dMRI intensity inference | HCP single-shell (b=3000) (test) | Absolute Error23.7 | 18 | |
| dMRI intensity inference | HCP single-shell (b=1000) (test) | Absolute Error41.88 | 18 | |
| dMRI intensity inference | HCP b=2000 shell (eight subjects) | PSNR40.51 | 18 | |
| dMRI intensity inference | HCP b=2000s/mm² shell (test) | Absolute Error (AE)28.32 | 18 | |
| dMRI intensity inference | HCP b=2000 shell (test) | MSSIM0.99 | 18 | |
| Motor Decoding | HCP motor decoding | Accuracy98.7 | 16 | |
| Age prediction | HCP-Age | AUC61.47 | 16 | |
| Sex prediction | HCP Gender | AUC86.93 | 16 | |
| dMRI Synthesis | HCP Arbitrary b_n condition S1200 (test) | SSIM (%)84.27 | 16 | |
| Brain Network Classification | HCPA CORR (test) | Accuracy97.92 | 16 | |
| Voxelwise kNN segmentation | HCP T2w–T1w k=7 (Dataset-Fit) | DS Score72.4 | 15 | |
| Compressed sensing | HCP T2w | PSNR32.72 | 15 | |
| Intelligence Regression | HCP | MSE0.835 | 15 | |
| MRI Reconstruction | HCP | PSNR (dB)45.1545 | 15 |
Showing 25 of 113 rows