Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Enhancing Precision in Cardiac Segmentation for Magnetic Resonance-Guided Radiation Therapy Through Deep Learning

International Journal of Radiation Oncology*Biology*Physics(2024)10.1016/j.ijrobp.2024.05.013Source: DataRank Database

Enhancing Precision in Cardiac Segmentation for Magnetic Resonance-Guided Radiation Therapy Through Deep Learning is a research paper published in International Journal of Radiation Oncology*Biology*Physics (2024). On theSindex it has a DataRank of 0. It has been cited 14 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access14 citations

Download PDF

Cite:

Linked data & code

doi

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 (4 grants)Impact (FWCI 5.87)OA: greenTopics (35)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (9)

Eric Morris ORCID,Soumyanil Banerjee ORCID,Qisheng He ORCID,A.I. Ghanem ORCID,Simeng Zhu ORCID

Live enrichment

PubMed:38797498 PMC:PMC11427143 OpenAlex:https://openalex.org/W4398768617

National Institutes of Health

Grant: T32CA009206

National Institutes of Health

Grant: R01HL153720

GE Healthcare

National Cancer Institute

FWCI

5.87

Citation Percentile

1.0%

Citation Trend

2025

2026

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

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11427143/pdf/nihms-2001720.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0360301624006710?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0360301624006710?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11427143

Fields of Study

Advanced Radiotherapy TechniquesCardiac Imaging and DiagnosticsChemotherapy-induced cardiotoxicity and mitigationHumansDeep LearningRadiotherapy, Image-GuidedHeartRetrospective StudiesMagnetic Resonance ImagingOrgans at RiskAbdominal NeoplasmsMaleRadiotherapy Planning, Computer-AssistedRadiotherapy DosageThoracic Neoplasms

MeSH Terms

Abdominal NeoplasmsDeep LearningHeartHumansMagnetic Resonance ImagingMaleRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective StudiesThoracic NeoplasmsOrgans at RiskRadiotherapy, Image-Guided

Keywords

SegmentationDeep learningArtificial intelligenceRadiation therapyMedicineMedical physicsComputer scienceRadiology

Enhancing Precision in Cardiac Segmentation for Magnetic Resonance-Guided Radiation Therapy Through Deep Learning

FAIR Checklist

Authors (9)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)