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Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation

Lecture notes in computer science(2023)10.1007/978-3-031-44336-7_15Source: DataRank Database

Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation is a research paper published in Lecture notes in computer science (2023). On theSindex it has a DataRank of 0.241. It has been cited 4 times.

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0.241DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation · arXiv

doi

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.46)OA: greenTopics (29)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (7)

Nihil Patel ORCID,Mais Al Taie,Joshua P. Yung ORCID,Tucker Netherton ORCID,Ankit Patel ORCID

Live enrichment

PubMed:40443712 PMC:PMC12120689 OpenAlex:https://openalex.org/W4387399306

NCI NIH HHS

Grant: R01 CA221971

NCI NIH HHS

Grant: P30 CA016672

NCI NIH HHS

Grant: R01 CA235564

National Institutes of Health

Grant: 5R01CA235564-05

Anatomical Modeling to Improve the Precision of Image Guided Liver Ablation

National Institutes of Health

Grant: 3P30CA016672-41S4

Cancer Center Support (CORE) Grant

National Institutes of Health

Grant: 5R01CA221971-02

Optimization and Evaluation of Anatomical Models of Liver Radiation Response

FWCI

0.46

Citation Percentile

0.7%

Citation Trend

2023

2024

2025

greenLicense: Springer Nature TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12120689/pdf/nihms-2081562.pdf

GREENhttps://arxiv.org/pdf/2308.03723

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12120689/pdf/nihms-2081562.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-44336-7_15

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12120689

Fields of Study

Advanced Neural Network ApplicationsMedical Image Segmentation TechniquesRadiomics and Machine Learning in Medical ImagingMedicineComputer Science0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceBottleneckMahalanobis distanceArtificial intelligenceSegmentationDimensionality reductionImage segmentationPattern recognition (psychology)InferencePrincipal component analysisCurse of dimensionalityData miningComputer visionOut-of-distribution DetectionSwin UnetrFOS: Computer and information sciencesComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionMachine Learning (cs.LG)

Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation

10.48550/arxiv.2308.03723arXiv