Hidden

Contrast-Enhanced Ultrasound (CEUS) — 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
bubble_concentration	-0.7 – 2.3	relative
nonlinear_harmonic_extraction	-1.4 – 4.6	-
motion_between_frames	-0.7 – 2.3	mm

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	SUPER-ULM + gradient	0.734	29.43	0.908	0.88	✓ Certified	Rigo et al., IEEE TUFFC 2023
2	CEUSF-Transformer + gradient	0.716	29.6	0.911	0.78	✓ Certified	Huang et al., IEEE TMI 2023
3	DiffusionCEUS + gradient	0.703	27.92	0.879	0.86	✓ Certified	Chen et al., Nat. Methods 2024
4	DeepULM + gradient	0.652	26.06	0.834	0.79	✓ Certified	van Sloun et al., IEEE TUFFC 2021
5	PINN-CEUS + gradient	0.640	25.15	0.807	0.83	✓ Certified	Lowerison et al., Nat. Commun. 2022
6	ULM-Net + gradient	0.567	22.27	0.701	0.82	✓ Certified	Christensen-Jeffries et al., Nat. Biomed. Eng. 2020
7	AM-CEUS + gradient	0.561	21.88	0.685	0.84	✓ Certified	Mor-Avi et al., JACC 2002
8	Pulse-Inversion + gradient	0.520	20.8	0.636	0.79	✓ Certified	Simpson et al., Ultrasound Med. Biol. 1999
9	CNN-Bubble + gradient	0.448	18.21	0.51	0.81	✓ Certified	Youn et al., IEEE TUFFC 2020

Scenes: 3

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

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