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Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging

Bioengineering(2025)10.3390/bioengineering12101036Source: DataRank Database

Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging is a research paper published in Bioengineering (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 2.11)OA: goldTopics (18)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 (2)

Anuradha Godavarty ORCID,Abderrachid Hamrani ORCID

Live enrichment

PubMed:41155035 PMC:PMC12562149 OpenAlex:https://openalex.org/W4414619401

NIH-NIBIB

Grant: R01EB033413

FWCI

2.11

Citation Percentile

0.9%

Citation Trend

2026

goldLicense: cc-by

journalhttps://www.mdpi.com/2306-5354/12/10/1036/pdf?version=1758965279

publisherhttps://www.mdpi.com/2306-5354/12/10/1036/pdf?version=1758965279

publisherhttps://www.mdpi.com/2306-5354/12/10/1036/pdf

journalhttps://doi.org/10.3390/bioengineering12101036

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41155035

Fields of Study

Radiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT ImagingMedical Imaging Techniques and Applications

Keywords

Medical imagingSegmentationImage segmentationImage (mathematics)Pattern recognition (psychology)Image processingModalitiesMedical diagnosisMedical Image SegmentationUnsupervised LearningGenerative ModelsDiffusion ModelsDeep LearningZero-shot LearningSelf-attention Mechanisms