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

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data

arXiv (Cornell University)(2025)10.48550/arxiv.2501.04735Source: DataRank Database

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data is a research paper published in arXiv (Cornell University) (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Free full text

Cite:

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 (1 grants)OA: greenTopics (27)IDs (PubMed, OpenAlex)

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 (7)

Hong Yi ORCID,Yu Wang ORCID,Justin D. Opfermann ORCID,William G. Gensheimer ORCID,Abba Μ. Krieger ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4406270900

National Institutes of Health

Grant: 5R01EY032127-02

Artificial intelligence Optical Coherence Tomography Guided Deep Anterior Lamellar Keratoplasty (AUTO-DALK)

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://arxiv.org/pdf/2501.04735

repositoryhttp://arxiv.org/abs/2501.04735

repositoryhttps://doi.org/10.48550/arxiv.2501.04735

https://doi.org/10.1117/12.3042615

https://dx.doi.org/10.48550/arxiv.2501.04735

Fields of Study

Corneal surgery and disordersOptical Coherence Tomography ApplicationsPhotoacoustic and Ultrasonic ImagingImage and Video Processing (eess.IV)Computer Vision and Pattern Recognition (cs.CV)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

SegmentationArtificial intelligenceDeep learningMode (computer interface)Lamellar structureComputer scienceComputer visionTopology (electrical circuits)GeologyMathematicsMaterials scienceCombinatoricsFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video Processing