Hidden
US/MRI Fusion — Hidden Tier
(3 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| registration_error_(deformable) | -1.4 – 4.6 | mm |
| probe_pressure_deformation | -2.1 – 6.9 | mm |
| mr_distortion | -0.7 – 2.3 | mm |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | TransMorph + gradient | 0.608 | 24.02 | 0.769 | 0.8 | ✓ Certified | Chen et al., Med. Image Anal. 2022 |
| 2 | B-spline FFD + gradient | 0.557 | 21.75 | 0.679 | 0.84 | ✓ Certified | Rueckert et al., IEEE TMI 1999 |
| 3 | Demons + gradient | 0.554 | 22.14 | 0.696 | 0.77 | ✓ Certified | Thirion, Med. Image Anal. 1998 |
| 4 | VoxelMorph + gradient | 0.467 | 18.64 | 0.532 | 0.84 | ✓ Certified | Balakrishnan et al., IEEE TMI 2019 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%