Hidden
Industrial CT — 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 |
|---|---|---|
| beam_hardening_order | -0.35 – 1.15 | |
| scatter_fraction | -0.105 – 0.345 | |
| source_blur | -2.1 – 6.9 | pixels |
| detector_efficiency | 0.655 – 1.105 |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | FBPConvNet + gradient | 0.689 | 28.17 | 0.884 | 0.77 | ✓ Certified | Jin et al., IEEE TIP 2017 |
| 2 | FDK + gradient | 0.674 | 26.95 | 0.857 | 0.81 | ✓ Certified | Feldkamp et al., JOSA A 1984 |
| 3 | PnP-ADMM + gradient | 0.641 | 25.81 | 0.827 | 0.76 | ✓ Certified | Venkatakrishnan et al., 2013 |
| 4 | Learned Primal-Dual + gradient | 0.581 | 22.5 | 0.711 | 0.86 | ✓ Certified | Adler & Oktem, IEEE TMI 2018 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%