Hidden

Ultrasound — 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
attenuation 0.43 – 0.73 dB/cm/MHz
element_sensitivity -3.5 – 11.5 %
phase_aberration -0.21 – 0.69 rad

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 UltrasoundFormer + gradient 0.688 27.54 0.871 0.82 ✓ Certified Park et al., CVPR 2024
2 BeamDATA + gradient 0.675 27.42 0.868 0.77 ✓ Certified Smith et al., ICCV 2024
3 AttentionBeam + gradient 0.664 26.57 0.847 0.8 ✓ Certified Xu et al., ECCV 2024
4 Phase-ADMM-Net + gradient 0.637 25.08 0.805 0.82 ✓ Certified Hou et al., IEEE TMI 2022
5 BeamFormer + gradient 0.633 25.53 0.818 0.75 ✓ Certified Li et al., ICCV 2024
6 ScoreUS + gradient 0.609 24.31 0.779 0.77 ✓ Certified Johnson et al., ECCV 2025
7 PW-DAS + gradient 0.592 23.22 0.74 0.82 ✓ Certified Plane wave synthesis baseline
8 DiffUS + gradient 0.557 21.81 0.682 0.83 ✓ Certified Chen et al., NeurIPS 2024
9 PnP-ADMM + gradient 0.534 21.33 0.661 0.78 ✓ Certified Goudarzi et al., 2020
10 MU-Net + gradient 0.522 20.83 0.638 0.79 ✓ Certified Hyun et al., IEEE TUFFC 2022
11 DAS-CF + gradient 0.515 20.88 0.64 0.75 ✓ Certified Capon filter, IEEE 1969
12 ABLE + gradient 0.511 19.84 0.591 0.88 ✓ Certified Luijten et al., IEEE TMI 2020
13 DAS + gradient 0.490 19.68 0.583 0.8 ✓ Certified Analytical baseline
14 PnP-TV + gradient 0.438 17.52 0.476 0.86 ✓ Certified TV regularization for ultrasound

Dataset

Scenes: 3

Scoring Formula

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

PSNR: 40% SSIM: 40% Consistency: 20%
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