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Characterizing low-cost registration for photographic images to computed tomography

PubMed(2024)10.1117/12.3005578Source: DataRank Database

Characterizing low-cost registration for photographic images to computed tomography is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 0.00)OA: greenTopics (26)IDs (PubMed, PMC, 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)

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Authors (9)

Ho Hin Lee ORCID,Karthik Ramadass ORCID,Chenyu Gao ORCID,Katherine van Schaik,Eric R. Tkaczyk ORCID

Live enrichment

PubMed:39220622 PMC:PMC11364404 OpenAlex:https://openalex.org/W4391908226

NCATS NIH HHS

Grant: UL1 TR002243

NIBIB NIH HHS

Grant: R01 EB017230

CSRD VA

Grant: IK2 CX001785

NIDDK NIH HHS

Grant: U54 DK134302

NINDS NIH HHS

Grant: R01 NS095291

NEI NIH HHS

Grant: U54 EY032442

NIBIB NIH HHS

Grant: R01 EB006136

FWCI

0.00

Citation Percentile

0.0%

green

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11364404/pdf/nihms-1960805.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11364404

http://dx.doi.org/10.1117/12.3005578

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39220622

Fields of Study

Anatomy and Medical TechnologyDigital Imaging in MedicineSurgical Simulation and Training

Keywords

Computer visionArtificial intelligenceComputer scienceImage registrationImaging phantomMedical imagingLandmarkIterative closest pointIterative reconstructionFiducial markerImage processingComputer graphics (images)TomographyPhotographyPoint cloudNuclear medicineImage (mathematics)MedicineRadiologyPhotogrammetrycomputed tomographyNerfSurface Registration