When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT.

Matt Y Cheung, Sophia Zorek, Tucker J Netherton, Laurence E Court, Sadeer Al-Kindi, Ashok Veeraraghavan, Guha Balakrishnan

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In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Matt Y CheungDepartment of Electrical & Computer Engineering, Rice University, Houston TX.

Sophia ZorekDepartment of Statistics, Rice University, Houston TX.

Tucker J NethertonDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston TX.

Laurence E CourtDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston TX.

Sadeer Al-KindiDepartment of Cardiology, DeBakey Heart and Vascular Center, Houston TX.

Ashok VeeraraghavanDepartment of Electrical & Computer Engineering, Rice University, Houston TX.

Guha BalakrishnanDepartment of Electrical & Computer Engineering, Rice University, Houston TX.

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026

$20.8M

NLM NIH HHS T15 LM007093

6 · The paper itself

Abstract

Diffusion models demonstrate state-of-the-art performance on image generation, and are gaining traction for sparse medical image reconstruction tasks. However, compared to classical reconstruction algorithms relying on simple analytical priors, diffusion models have the dangerous property of producing realistic looking results

Identifiers

PMID39975437

PMCPMC11838784

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.