Low-Dose X-Ray Ct Reconstruction

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
  19 Mar 2020 37 repositories listed Syntology ran 22 of 56 samples · 34 unverified · 4 pointer-only (licence)
  Our algorithm represents a scene using a fully-connected (non-convolutional) deep network, whose input is a single continuous 5D coordinate (spatial location (x, y, z) and viewing direction (θ, ϕ)) and whose output is…
• Structure-Aware Sparse-View X-ray 3D Reconstruction
  18 Nov 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 1 pointer-only (licence)
  In this paper, we propose a framework, Structure-Aware X-ray Neural Radiodensity Fields (SAX-NeRF), for sparse-view X-ray 3D reconstruction.
• TensoRF: Tensorial Radiance Fields
  17 Mar 2022 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We demonstrate that applying traditional CP decomposition -- that factorizes tensors into rank-one components with compact vectors -- in our framework leads to improvements over vanilla NeRF.
• Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction
  4 Mar 2017 2 repositories listed
  Model based iterative reconstruction (MBIR) algorithms for low-dose X-ray CT are computationally complex because of the repeated use of the forward and backward projection.
• NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction
  29 Sep 2022 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  This paper proposes a novel and fast self-supervised solution for sparse-view CBCT reconstruction (Cone Beam Computed Tomography) that requires no external training data.
• NeAT: Neural Adaptive Tomography
  4 Feb 2022 1 repository listed
  Through a combination of neural features with an adaptive explicit representation, we achieve reconstruction times far superior to existing neural inverse rendering methods.
• ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
  21 Dec 2021 1 repository listed
  However, these methods inherently suffer from the ill-posedness of the joint reconstruction problem.
• IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction
  1 Jan 2021 1 repository listed
  After getting estimated through the sinogram prediction module, the density field is consistently refined in the second module using local and non-local geometrical priors.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.