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

OCT-Derived Radiomic Features Predict Anti–VEGF Response and Durability in Neovascular Age-Related Macular Degeneration

Ophthalmology Science(2022)10.1016/j.xops.2022.100171Source: DataRank Database

OCT-Derived Radiomic Features Predict Anti–VEGF Response and Durability in Neovascular Age-Related Macular Degeneration is a research paper published in Ophthalmology Science (2022). On theSindex it has a DataRank of 0. It has been cited 19 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access19 citations

Download PDF

Cite:

Linked data & code

nct

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 (28 grants)OA: goldTopics (20)IDs (PubMed, PMC)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)

Hasan Cetin ORCID,Leina Lunasco ORCID,Thuy Le ORCID,Robert Zahid ORCID,Xiangyi Meng ORCID

Live enrichment

PubMed:36531588 PMC:PMC9754979

National Institute of Biomedical Imaging and Bioengineering

Grant: 1R43EB028736-01

National Center for Research Resources

Grant: 1 C06 RR12463-01

National Center for Research Resources

Grant: IBX004121A

National Heart, Lung, and Blood Institute

Grant: 1R01HL15127701A1

National Heart, Lung, and Blood Institute

Grant: R01HL15807101A1

DOD Prostate Cancer Research Program

Grant: W81XWH-15-1-0558

DOD Prostate Cancer Research Program

Grant: W81XWH-20-1-0851

National Cancer Institute

Grant: 1U01CA239055-01

National Cancer Institute

Grant: 1U01CA248226-01

National Cancer Institute

Grant: 1U24CA199374-01

National Cancer Institute

Grant: 1U54CA254566-01

National Cancer Institute

Grant: R01CA202752-01A1

National Cancer Institute

Grant: R01CA208236-01A1

National Cancer Institute

Grant: R01CA216579-01A1

National Cancer Institute

Grant: R01CA220581-01A1

National Cancer Institute

Grant: R01CA249992-01A1

National Cancer Institute

Grant: R01CA257612-01A1

DOD Peer Reviewed Cancer Research Program

Grant: W81XWH-18-1-0404

DOD Peer Reviewed Cancer Research Program

Grant: W81XWH-21-1-0345

AstraZeneca

Boehringer Ingelheim

Wallace H. Coulter Foundation

Novartis Pharmaceuticals Corporation

National Eye Institute

Biomedical Laboratory Research and Development, VA Office of Research and Development

Bristol-Myers Squibb

National Center for Advancing Translational Sciences

National Institutes of Health

goldLicense: cc-by-nc-nd

publisherhttps://doi.org/10.1016/j.xops.2022.100171

publisherhttps://api.elsevier.com/content/article/PII:S2666914522000604?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666914522000604?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9754979

repositoryhttps://doaj.org/article/6dbdac2e90124dd9821541509e5e2592

Keywords

OctWet Age-related Macular DegenerationAmd, Age-related Macular DegenerationRpe, Retinal Pigment EpitheliumAuc, Area Under The Receiver Operating Characteristic Curve3D, 3-DimensionalMl, Machine LearningRadiomicsNamd, Neovascular Age-related Macular DegenerationAuc-Prc, Area Under The Precision Recall CurveIai, Intravitreal Aflibercept InjectionRfi, Retinal Fluid IndexShrm, Subretinal Hyperreflective MaterialSrfi, Subretinal Fluid IndexTrfi, Total Retinal Fluid IndexSrf, Subretinal FluidQda, Quadratic Discriminant AnalysisIlm, Internal Limiting MembraneIrf, Intraretinal FluidMrmr, Minimum Redundancy Maximum Relevance

OCT-Derived Radiomic Features Predict Anti–VEGF Response and Durability in Neovascular Age-Related Macular Degeneration

FAIR Checklist

Authors (9)

Funding (28 grants)

Open Access

Topics

Annotations (Europe PMC)