Dev
Fluoroscopy — Dev Tier
(3 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| motion_blur | -6.0 – 9.0 | ms |
| lag | -3.6 – 5.4 | ms |
| gain_drift | -0.6 – 0.9 | % |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PhysFluoro + gradient | 0.782 | 33.2 | 0.954 | 0.84 | ✓ Certified | Chen et al., IEEE TMI 2024 |
| 2 | TransFluoro + gradient | 0.764 | 31.68 | 0.939 | 0.86 | ✓ Certified | Wang et al., IEEE TMI 2022 |
| 3 | DiffFluoro + gradient | 0.757 | 30.79 | 0.928 | 0.89 | ✓ Certified | Gao et al., MICCAI 2024 |
| 4 | SwinFluoro + gradient | 0.733 | 30.17 | 0.919 | 0.82 | ✓ Certified | Li et al., Med. Phys. 2023 |
| 5 | REDCNN-Fluoro + gradient | 0.684 | 26.65 | 0.849 | 0.89 | ✓ Certified | Chen et al., IEEE TMI 2017 |
| 6 | DnCNN-Fluoro + gradient | 0.657 | 26.02 | 0.833 | 0.82 | ✓ Certified | Chen et al., IEEE TMI 2017 |
| 7 | NLM-Fluoro + gradient | 0.649 | 25.45 | 0.816 | 0.84 | ✓ Certified | Buades et al., CVPR 2005 |
| 8 | BM3D-Fluoro + gradient | 0.572 | 22.61 | 0.715 | 0.8 | ✓ Certified | Dabov et al., IEEE TIP 2007 |
| 9 | TV-Fluoro + gradient | 0.489 | 19.1 | 0.555 | 0.88 | ✓ Certified | Sidky & Pan, Phys. Med. Biol. 2008 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%