Evidence map›Paper›PMID 37068492›Full record

ArticlePhysics in medicine and biology2023

Learning image representations for content-based image retrieval of radiotherapy treatment plans.

Charles Huang, Varun Vasudevan, Oscar Pastor-Serrano, Md Tauhidul Islam, Yusuke Nomura, Piotr Dubrowski, Jen-Yeu Wang, Joseph B Schulz, Yong Yang, Lei Xing

Abstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Bladder Cancer and Artificial Intelligence: Emerging Applications.The Urologic clinics of North America · 2024
    Review
  2. Review
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.

Charles HuangDepartment of Bioengineering, Stanford University, Stanford, United States of America.ORCID 0000-0001-7559-8316
Varun VasudevanInstitute for Computational and Mathematical Engineering, Stanford University, Stanford, United States of America.ORCID 0000-0001-5013-6836
Oscar Pastor-SerranoDepartment of Radiation Oncology, Stanford University, Stanford, United States of America.
Md Tauhidul IslamDepartment of Radiation Oncology, Stanford University, Stanford, United States of America.ORCID 0000-0001-6259-632X
Yusuke NomuraDepartment of Radiation Oncology, Stanford University, Stanford, United States of America.ORCID 0000-0002-2180-568X
Piotr DubrowskiDepartment of Radiation Oncology, Stanford University, Stanford, United States of America.
Jen-Yeu WangDepartment of Radiation Oncology, Stanford University, Stanford, United States of America.
Joseph B SchulzDepartment of Radiation Oncology, Stanford University, Stanford, United States of America.
Yong YangDepartment of Radiation Oncology, Stanford University, Stanford, United States of America.
Lei XingDepartment of Radiation Oncology, Stanford University, Stanford, United States of America.

Funding

Dual Modality X-ray Luminescence CT for in vivo Cancer ImagingR01CA227713 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2019 to 2023
$2.9M
DASSIM-RT and Compressed Sensing-Based Inverse PlanningR01CA176553 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2014 to 2018
$2.4M
Predoctoral Training in Biomedical Imaging at Stanford UniversityT32EB009653 · NIBIB · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2010 to 2019
$2.1M
Development of AI-Augmented quality assurance tools for radiation therapyR01CA275772 · NCI · STANFORD UNIVERSITY · PI Lei Xing · 2023 to 2026
$2.1M
NCI NIH HHS R01 CA176553NCI NIH HHS R01 CA227713NCI NIH HHS R01 CA275772NIBIB NIH HHS T32 EB009653
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsSoftwareDatabases, FactualHumansInformation Storage and RetrievalMachine Learningcontent based image retrievaldeep learningrepresentation learning

Identifiers

PMID37068492
PMCPMC10259733

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.