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Pulmonary Ventilation Maps Generated with Free-breathing Proton MRI and a Deep Convolutional Neural Network

Radiology(2020)10.1148/radiol.2020202861Source: DataRank Database

Pulmonary Ventilation Maps Generated with Free-breathing Proton MRI and a Deep Convolutional Neural Network is a research paper published in Radiology (2020). On theSindex it has a DataRank of 1.2. It has been cited 26 times, with 24 citing works in its 1-hop citation network.

N/A

1.2DataRank · unranked

Scored on demand from live citation data

Deposits data26 citations · 24 citing works in its network

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Linked data & code

nct

Data availability

Repositories this paper deposited data in (declared in PubMed).

ClinicalTrials.govNCT03169673 NCT02282202 NCT02263794 NCT02351141 NCT02279329

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: closedTopics (30)IDs (PubMed)Annotations (1)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 42%Citation Network 58%

Base Score Contribution

0.494

From this paper's citation signal

Citation Network Contribution

0.671

From 20 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 24 citers.

129Xe and Free‐Breathing 1H Ventilation MRI in Patients With Cystic Fibrosis: A Dual‐Center Study
Journal of Magnetic Resonance Imaging202233 citations36 referencesContributes 0.098
Magnetic Resonance Imaging Images under Deep Learning in the Identification of Tuberculosis and Pneumonia
Journal of Healthcare Engineering202111 citations30 referencesContributes 0.083
Functional Lung MRI: Deep Learning Turns Proton into Helium Ventilation Maps—The Battle Is On!
Radiology20201 citations9 referencesContributes 0.077
A deep learning model for translating CT to ventilation imaging: analysis of accuracy and impact on functional avoidance radiotherapy planning
Japanese Journal of Radiology20249 citations32 referencesContributes 0.072
A hybrid model‐ and deep learning‐based framework for functional lung image synthesis from multi‐inflation CT and hyperpolarized gas MRI
Medical Physics202315 citations55 referencesContributes 0.050

Authors (4)

Fumin Guo ORCID,Lei Xing ORCID,Grace Párraga ORCID,Dante P. I. Capaldi ORCID

Live enrichment

PubMed:33289613

National Institutes of Health

Grant: 1R01CA223667

NCI NIH HHS

Grant: R01 CA223667

NCI NIH HHS

Grant: R01 CA227713

Natural Sciences and Engineering Research Council of Canada

Grant: unidentified

unidentified

Canada Research Chairs Program

Natural Sciences and Engineering Research Council of Canada

closed

publisherhttp://pubs.rsna.org/doi/pdf/10.1148/radiol.2020202861

https://doi.org/10.1148/radiol.2020202861

https://pubmed.ncbi.nlm.nih.gov/33289613

https://dx.doi.org/10.1148/radiol.2020202861

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

LungHumansLung DiseasesProtonsImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPulmonary VentilationProspective StudiesAdultAgedMiddle AgedFemaleMaleNeural Networks, Computer

Keywords

AdultLung DiseasesMaleMiddle AgedMagnetic Resonance ImagingImage Interpretation, Computer-AssistedHumansFemaleNeural Networks, ComputerProspective StudiesProtonsPulmonary VentilationLungAged

Sustainable Development Goals

SDG 3: 3. Good healthSDG 16: 16. Peace & justice