Hidden
CEST MRI — 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 |
|---|---|---|
| b0_inhomogeneity | -7.0 – 23.0 | Hz |
| b1_inhomogeneity | -2.8 – 9.2 | - |
| saturation_power_error | -1.4 – 4.6 | - |
| mt_contamination | -4.2 – 13.8 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PromptCEST + gradient | 0.713 | 28.35 | 0.888 | 0.87 | ✓ Certified | Liu et al., MRM 2024 |
| 2 | CESTFormer + gradient | 0.702 | 27.86 | 0.878 | 0.86 | ✓ Certified | Wu et al., IEEE TMI 2023 |
| 3 | PINN-CEST + gradient | 0.700 | 27.64 | 0.873 | 0.87 | ✓ Certified | Cohen et al., MRM 2022 |
| 4 | DiffusionCEST + gradient | 0.683 | 27.72 | 0.875 | 0.78 | ✓ Certified | Chen et al., NeurIPS 2024 |
| 5 | WASSR + gradient | 0.657 | 26.12 | 0.835 | 0.81 | ✓ Certified | Kim et al., MRM 2009 |
| 6 | Lorentzian-Fit + gradient | 0.627 | 24.75 | 0.794 | 0.81 | ✓ Certified | Zaiss & Bachert, NMR Biomed. 2013 |
| 7 | U-Net-CEST + gradient | 0.620 | 24.54 | 0.787 | 0.8 | ✓ Certified | Zhao et al., MRM 2021 |
| 8 | MTR-asym + gradient | 0.543 | 21.04 | 0.647 | 0.87 | ✓ Certified | Zhou et al., Nat. Med. 2003 |
| 9 | DnCNN-CEST + gradient | 0.497 | 19.77 | 0.588 | 0.82 | ✓ Certified | Zhang et al., IEEE TIP 2017 (CEST adapted) |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%