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Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation

Medical Image Analysis(2022)10.1016/j.media.2022.102641Source: DataRank Database

Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation is a research paper published in Medical Image Analysis (2022). On theSindex it has a DataRank of 0. It has been cited 40 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access40 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 2.90)OA: greenTopics (19)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)

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Authors (4)

Fangxu Xing ORCID,Georges El Fakhri ORCID,Jonghye Woo ORCID,Xiaofeng Liu ORCID

Live enrichment

PubMed:36265264 OpenAlex:https://openalex.org/W4298395467

National Institutes of Health

Grant: P41EB022544

National Institutes of Health

Grant: R01DC018511

National Institutes of Health

Grant: R01DE027989

FWCI

2.90

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

greenLicense: https://doi.org/10.15223/policy-004

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10016738/pdf/nihms-1880479.pdf

publisherhttps://api.elsevier.com/content/article/PII:S1361841522002699?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1361841522002699?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10016738

Fields of Study

Advanced Neural Network ApplicationsMedical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

MeSH Terms

Brain NeoplasmsHeartHumansLearningMotionEntropy

Keywords

Artificial intelligenceAdaptation (eye)SegmentationComputer scienceImage (mathematics)Computer visionImage segmentationPattern recognition (psychology)BiologyNeuroscience