Hidden
Fluoroscopy — 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 |
|---|---|---|
| motion_blur | -3.5 – 11.5 | ms |
| lag | -2.1 – 6.9 | ms |
| gain_drift | -0.35 – 1.15 | % |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PhysFluoro + gradient | 0.756 | 30.84 | 0.929 | 0.88 | ✓ Certified | Chen et al., IEEE TMI 2024 |
| 2 | TransFluoro + gradient | 0.755 | 31.57 | 0.938 | 0.82 | ✓ Certified | Wang et al., IEEE TMI 2022 |
| 3 | DiffFluoro + gradient | 0.714 | 28.39 | 0.889 | 0.87 | ✓ Certified | Gao et al., MICCAI 2024 |
| 4 | SwinFluoro + gradient | 0.666 | 25.97 | 0.831 | 0.87 | ✓ Certified | Li et al., Med. Phys. 2023 |
| 5 | REDCNN-Fluoro + gradient | 0.635 | 25.29 | 0.811 | 0.79 | ✓ Certified | Chen et al., IEEE TMI 2017 |
| 6 | NLM-Fluoro + gradient | 0.616 | 23.69 | 0.757 | 0.88 | ✓ Certified | Buades et al., CVPR 2005 |
| 7 | DnCNN-Fluoro + gradient | 0.606 | 24.37 | 0.781 | 0.75 | ✓ Certified | Chen et al., IEEE TMI 2017 |
| 8 | BM3D-Fluoro + gradient | 0.531 | 21.31 | 0.66 | 0.77 | ✓ Certified | Dabov et al., IEEE TIP 2007 |
| 9 | TV-Fluoro + gradient | 0.399 | 16.35 | 0.418 | 0.84 | ✓ Certified | Sidky & Pan, Phys. Med. Biol. 2008 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%