Hidden

Intravascular Ultrasound (IVUS) — Hidden Tier

(3 scenes)

Fully blind server-side evaluation — no data download.

No data downloadable. Algorithm runs server-side on hidden measurements.

Package algorithm as Docker container / Python script. Submit via link.

Containerized algorithm accepting y + H, outputting x_hat + corrected spec.

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True spec hidden — blind evaluation, only ranges available.

Parameter	Spec Range	Unit
catheter_rotation_non_uniformity	-1.4 – 4.6	-
ring_down_artifact	-2.8 – 9.2	-
sound_speed_in_plaque	1517.6 – 1613.6	m/s

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	ScoreUS + gradient	0.690	27.65	0.873	0.82	✓ Certified	Johnson et al., ECCV 2025
2	DiffUS + gradient	0.684	27.56	0.871	0.8	✓ Certified	Chen et al., NeurIPS 2024
3	UltrasoundFormer + gradient	0.673	26.28	0.84	0.87	✓ Certified	Park et al., CVPR 2024
4	AttentionBeam + gradient	0.661	26.68	0.85	0.77	✓ Certified	Xu et al., ECCV 2024
5	BeamDATA + gradient	0.660	26.16	0.836	0.82	✓ Certified	Smith et al., ICCV 2024
6	BeamFormer + gradient	0.652	26.31	0.841	0.76	✓ Certified	Li et al., ICCV 2024
7	Phase-ADMM-Net + gradient	0.651	25.94	0.83	0.8	✓ Certified	Hou et al., IEEE TMI 2022
8	DAS-CF + gradient	0.607	23.83	0.762	0.82	✓ Certified	Capon filter, IEEE 1969
9	PnP-TV + gradient	0.583	22.77	0.722	0.83	✓ Certified	TV regularization for ultrasound
10	PnP-ADMM + gradient	0.556	22.37	0.706	0.75	✓ Certified	Goudarzi et al., 2020
11	PW-DAS + gradient	0.545	21.59	0.672	0.8	✓ Certified	Plane wave synthesis baseline
12	MU-Net + gradient	0.508	19.89	0.593	0.86	✓ Certified	Hyun et al., IEEE TUFFC 2022
13	DAS + gradient	0.488	19.76	0.587	0.78	✓ Certified	Analytical baseline
14	ABLE + gradient	0.463	18.31	0.515	0.87	✓ Certified	Luijten et al., IEEE TMI 2020

Scenes: 3

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

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