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Prediction of lymphoma response to CAR T cells by deep learning-based image analysis

PLoS ONE(2023)10.1371/journal.pone.0282573Source: DataRank Database

Prediction of lymphoma response to CAR T cells by deep learning-based image analysis is a research paper published in PLoS ONE (2023). On theSindex it has a DataRank of 0. It has been cited 23 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access23 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 2.65)OA: goldTopics (36)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Jayaram K. Udupa ORCID,Emeline Chong,Nicole Winchell,Changjian Sun ORCID,Yongning Zou ORCID

Live enrichment

PubMed:37478073 PMC:PMC10361488 OpenAlex:https://openalex.org/W4385064089

National Cancer Institute

Grant: R01 CA255748

National Institutes of Health

Grant: 5R01CA255748-03

Models and methods for automatically measuring disease body-wide and staging disease via FDG-PET/CT in Lymphoma

FWCI

2.65

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282573&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282573&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0282573

journalhttps://doi.org/10.1371/journal.pone.0282573

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37478073

Fields of Study

CAR-T cell therapy researchIntegrated Circuits and Semiconductor Failure Analysis03 medical and health sciences0302 clinical medicine

MeSH Terms

Positron Emission Tomography Computed TomographyDeep LearningAdultHumansRetrospective StudiesT-LymphocytesLymphoma, Large B-Cell, DiffuseTreatment OutcomeFluorodeoxyglucose F18Positron-Emission Tomography

Keywords

MedicineLymphomaLesionPositron emission tomographyLymph nodeArtificial intelligenceNuclear medicineRadiologyInternal medicinePathologyComputer scienceAdultDeep LearningTreatment OutcomeFluorodeoxyglucose F18Positron-Emission TomographyT-LymphocytesPositron Emission Tomography Computed TomographyHumansLymphoma, Large B-Cell, DiffuseResearch ArticleRetrospective Studies

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions

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N/A

0.858DataRank · unranked

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co-cited

10.1148/ryai.2021200232

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Prediction of lymphoma response to CAR T cells by deep learning-based image analysis

FAIR Checklist

Authors (8)

Funding (2 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)

Related Papers (2)