Hidden
Photoacoustic — 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 |
|---|---|---|
| sos | 1526.0 – 1586.0 | m/s |
| fluence | -7.0 – 23.0 | % |
| sensor_response | -3.5 – 11.5 | % |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PAT-Former + gradient | 0.601 | 23.19 | 0.738 | 0.87 | ✓ Certified | PAT reconstruction transformer, 2024 |
| 2 | Universal Back-Proj + gradient | 0.545 | 21.58 | 0.672 | 0.8 | ✓ Certified | Xu & Wang, Phys. Rev. E 2005 |
| 3 | Deep-PAI + gradient | 0.520 | 20.55 | 0.625 | 0.82 | ✓ Certified | Hauptmann et al., IEEE TMI 2018 |
| 4 | PnP-ADMM + gradient | 0.410 | 17.4 | 0.47 | 0.74 | ✓ Certified | Goudarzi et al., 2020 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%