Hidden

Proton Therapy Imaging — 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
range_uncertainty -0.42 – 1.38 mm
scattering_power_error 0.993 – 1.023 -
detector_efficiency_drift 0.843 – 0.873 -
setup_error -0.28 – 0.92 mm

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 CT-ViT + gradient 0.772 32.03 0.943 0.87 ✓ Certified Guo et al., NeurIPS 2024
2 CTFormer + gradient 0.756 32.35 0.946 0.77 ✓ Certified Li et al., ICCV 2024
3 Learned Primal-Dual + gradient 0.706 28.85 0.898 0.79 ✓ Certified Adler & Oktem, IEEE TMI 2018
4 PnP-ADMM + gradient 0.706 28.77 0.896 0.8 ✓ Certified Venkatakrishnan et al., IEEE GlobalSIP 2013
5 TV-ADMM + gradient 0.688 27.86 0.878 0.79 ✓ Certified Sidky et al., Phys. Med. Biol. 2008
6 DuDoTrans + gradient 0.680 26.94 0.857 0.84 ✓ Certified Wang et al., MLMIR 2022
7 Score-CT + gradient 0.676 26.74 0.852 0.84 ✓ Certified Song et al., NeurIPS 2024
8 PnP-DnCNN + gradient 0.675 27.1 0.861 0.8 ✓ Certified Zhang et al., IEEE TIP 2017
9 DiffusionCT + gradient 0.672 26.32 0.841 0.86 ✓ Certified Kazemi et al., ECCV 2024
10 FBPConvNet + gradient 0.664 26.36 0.842 0.82 ✓ Certified Jin et al., IEEE TIP 2017
11 DOLCE + gradient 0.656 26.33 0.841 0.78 ✓ Certified Liu et al., ICCV 2023
12 RED-CNN + gradient 0.648 26.08 0.834 0.77 ✓ Certified Chen et al., IEEE TMI 2017
13 FBP + gradient 0.631 24.42 0.783 0.87 ✓ Certified Kak & Slaney, IEEE Press 1988

Dataset

Scenes: 3

Scoring Formula

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%
Back to Proton Therapy Imaging