Evidence map›Paper›PMID 38181426›Full record

ArticlePhysics in medicine and biology2024

Motion artifact correction in cardiac CT using cross-phase temporospatial information and synergistic attention gate and spatial transformer sub-networks.

Hao Gong, Zaki Ahmed, Shaojie Chang, Emily K Koons, Jamison E Thorne, Prabhakar Rajiah, Thomas A Foley, Joel G Fletcher, Cynthia H McCollough, Shuai Leng

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. AI-assisted six-dimensional CT imaging for joint instability assessment.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  4. Review
  5. Article
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

10 authors.

Hao GongDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.
Zaki AhmedDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.
Shaojie ChangDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.ORCID 0000-0003-0550-9650
Emily K KoonsDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.
Jamison E ThorneDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.
Prabhakar RajiahDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.
Thomas A FoleyDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.
Joel G FletcherDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.
Shuai LengDepartment of Radiology, Mayo Clinic, Rochester, MN, 55901, United States of America.

Funding

Comprehensive characterization of coronary atherosclerotic disease using photon-counting-detector dual-source CT and its impact on patient managementR01EB028590 · NIBIB · MAYO CLINIC ROCHESTER · PI LENG, SHUAI, MCCOLLOUGH, CYNTHIA H · 2020 to 2023
$2.6M
NIBIB NIH HHS R01 EB028590
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ArtifactsTomography, X-Ray ComputedAdultAgedAged, 80 and overCoronary AngiographyFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMotionRetrospective StudiesYoung Adultattentioncomputed tomography angiographycoronary arterydeep learningmotion artifact correctionspatial transformer

Identifiers

PMID38181426
PMCPMC10840999

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.