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Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models

Academic Radiology(2023)10.1016/j.acra.2023.02.027Source: DataRank Database

Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models is a research paper published in Academic Radiology (2023). On theSindex it has a DataRank of 0. It has been cited 14 times.

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Open Access14 citations

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Enrichment:Funding (2 grants)Impact (FWCI 2.17)OA: bronzeTopics (33)IDs (PubMed, PMC, OpenAlex)Annotations (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 (15)

Winston T. Chu ORCID,Fatemeh Homayounieh ORCID,Maxim Blain,Fatemeh Dehghani Firouzabadi ORCID,Pouria Y. Anari

Live enrichment

PubMed:36966070 PMC:PMC9968618 OpenAlex:https://openalex.org/W4322217264

NIAID NIH HHS

Grant: HHSN272201800013C

Intramural NIH HHS

Grant: Z99 AI999999

FWCI

2.17

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

bronzeLicense: http://www.elsevier.com/open-access/userlicense/1.0/

journalhttp://www.academicradiology.org/article/S1076633223001010/pdf

publisherhttp://www.academicradiology.org/article/S1076633223001010/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1076633223001010?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1076633223001010?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.acra.2023.02.027

Fields of Study

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingCOVID-19 Clinical Research StudiesAnimalsCOVID-19Deep LearningLungPrimatesSARS-CoV-2Tomography, X-Ray Computed

MeSH Terms

Deep LearningCOVID-19SARS-CoV-2AnimalsLungPrimatesTomography, X-Ray Computed

Keywords

Context (archaeology)MedicineDeep learningArtificial intelligencePositron emission tomographyPET-CTMedical imagingMedical physicsPathologyRadiologyComputer scienceBiologyLung InfectionLesion QuantificationCovid-19Inconsistent Ground Truth

Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models

FAIR Checklist

Authors (15)

Funding (2 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)