Dev

CT + Fluorescence (FLIT) — Dev Tier

(3 scenes)

Blind evaluation tier — no ground truth available.

What you get

Measurements (y), ideal forward operator (H), and spec ranges only.

How to use

Apply your pipeline from the Public tier. Use consistency as self-check.

What to submit

Reconstructed signals and corrected spec. Scored server-side.

Parameter Specifications

🔒

True spec hidden — estimate parameters from spec ranges below.

Parameter Spec Range Unit
optical_property_assignment_error -7.2 – 10.8 -
autofluorescence -12.0 – 18.0 -
registration_(ct_to_optical) -0.72 – 1.08 mm

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffusionXRF + gradient 0.774 32.32 0.946 0.86 ✓ Certified Song et al., ICLR 2021 (XRF adapt.)
2 PnP-XRF + gradient 0.760 30.99 0.931 0.89 ✓ Certified Chan et al., IEEE TIP 2016 (XRF adapt.)
3 SwinXRF + gradient 0.748 31.48 0.937 0.79 ✓ Certified Liu et al., ICCV 2021 (XRF adapt.)
4 PhysXRF-Net + gradient 0.711 28.48 0.891 0.85 ✓ Certified Raissi et al., J. Comput. Phys. 2019 (XRF)
5 U-Net-XRF + gradient 0.651 25.08 0.805 0.89 ✓ Certified Ronneberger et al., MICCAI 2015 (XRF adapt.)
6 DnCNN-XRF + gradient 0.606 23.16 0.737 0.9 ✓ Certified Zhang et al., IEEE TIP 2017 (XRF adapt.)
7 MLEM-XRF + gradient 0.600 23.61 0.754 0.81 ✓ Certified Jaszczak et al., IEEE TNS 1981 (XRF adapt.)
8 TV-XRFCT + gradient 0.529 20.61 0.628 0.86 ✓ Certified Larsson et al., Phys. Med. Biol. 2020
9 FBP-XRF + gradient 0.478 18.87 0.543 0.86 ✓ Certified Boisseau & Grodzins, Hyperfine Int. 1987

Visible Data Fields

y H_ideal spec_ranges

Dataset

Format: HDF5
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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