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

Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning

Journal of Digital Imaging(2021)10.1007/s10278-021-00452-3Source: DataRank Database

Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning is a research paper published in Journal of Digital Imaging (2021). On theSindex it has a DataRank of 0. It has been cited 37 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access37 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 (5 grants)Impact (FWCI 3.66)OA: hybridTopics (34)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (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 (8)

Deema Anaam,Andrew J. Vercnocke ORCID,Marie E. Edwards,Vicente E. Torres ORCID,Peter C. Harris ORCID

Live enrichment

PubMed:33821360 PMC:PMC8455788 OpenAlex:https://openalex.org/W3141480068

National Institute of Diabetes and Digestive and Kidney Diseases

Grant: K01DK110136

Mayo Clinic Robert M. and Billie Kelley Pirnie Translational PKD Center

Grant: P30DK090728

National Institutes of Health

Grant: 1P30DK090728-01

Mayo Translational PKD Center (MTPC)

National Institutes of Health

Grant: 5K01DK110136-05

Advanced MR Imaging and Image Analytics as a Precision Medicine Tool to Manage ADPKD

Center for Individualized Medicine, Mayo Clinic

FWCI

3.66

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s10278-021-00452-3.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s10278-021-00452-3.pdf

publisherhttps://link.springer.com/article/10.1007/s10278-021-00452-3/fulltext.html

journalhttps://doi.org/10.1007/s10278-021-00452-3

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33821360

Fields of Study

Genetic and Kidney Cyst DiseasesPediatric Urology and Nephrology StudiesFetal and Pediatric Neurological Disorders03 medical and health sciences0302 clinical medicine

MeSH Terms

CystsHumansImage Processing, Computer-AssistedKidneyMagnetic Resonance ImagingSemantics

Keywords

SegmentationArtificial intelligenceComputer scienceCystConvolutional neural networkSørensen–Dice coefficientImage segmentationAutosomal dominant polycystic kidney diseasePattern recognition (psychology)Volume (thermodynamics)RadiologyComputer visionMedicineMagnetic Resonance ImagingConvolutional Neural NetworksCyst VolumeThree-dimensional Instance SegmentationOriginal PaperCystsImage Processing, Computer-AssistedHumansKidneySemantics

Sustainable Development Goals

SDG 10: 10. No inequality

Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning

FAIR Checklist

Authors (8)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)