Evidence map›Paper›PMID 36638543›Full record

ArticlePhysics in medicine and biology2023

Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR).

You Zhang, Hua-Chieh Shao, Tinsu Pan, Tielige Mengke

Open access · hybridAbstract read
In one paragraph

Article in Physics in medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 19 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

You ZhangAdvanced Imaging and Informatics in Radiation Therapy (AIRT) Laboratory, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, 75235, United States of America.ORCID 0000-0002-8033-2755
Hua-Chieh ShaoAdvanced Imaging and Informatics in Radiation Therapy (AIRT) Laboratory, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, 75235, United States of America.
Tinsu PanDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States of America.
Tielige MengkeAdvanced Imaging and Informatics in Radiation Therapy (AIRT) Laboratory, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, 75235, United States of America.ORCID 0000-0003-1836-9829
Southwestern Medical Center · USThe University of Texas MD Anderson Cancer Center · US

Funding

Artificial Intelligence-Based Quality Assurance for Online Adaptive RadiotherapyR01CA258987 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Steve Bin Jiang, Dan Nguyen · 2022 to 2026
$2.8M
Accurate 4D Liver Tumor Localization for Radiotherapy using Contrast-Agent-Free X-ray Imaging and Liver Biomechanical ModelingR01CA240808 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, YOU · 2020 to 2024
$1.5M
NCI NIH HHS R01 CA240808NCI NIH HHS R01 CA258987
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

LungLung NeoplasmsAlgorithmsCone-Beam Computed TomographyFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedMotionPhantoms, Imagingcone-beam CTdynamic imagingimage reconstructionimplicit neural representationmotion modelingprincipal component analysis

Identifiers

PMID36638543
PMCPMC10087494
OpenAlexW4315926547

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.