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Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3226604Source: DataRank Database

Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network is a research paper published in IEEE Transactions on Medical Imaging (2022). On theSindex it has a DataRank of 0. It has been cited 14 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access14 citations

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Linked data & code

Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 1.69)OA: greenTopics (26)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

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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Authors (13)

Zhao Liu ORCID,Luyao Shi ORCID,Kathleen Greco,Xiongchao Chen ORCID,Bo Zhou ORCID

Live enrichment

PubMed:36459599 PMC:PMC10204821 OpenAlex:https://openalex.org/W4283640977

NIH

Grant: R01HL154345

NIH

Grant: R01HL123949

NIH

Grant: T32HL098069

NIH

Grant: S10RR025555

NCATS NIH HHS

Grant: UL1 TR001863

FWCI

1.69

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

2026

greenLicense: https://doi.org/10.15223/policy-029

repositoryhttps://arxiv.org/pdf/2206.12344

publisherhttp://xplorestaging.ieee.org/ielx7/42/10114431/09969636.pdf?arnumber=9969636

repositoryhttp://arxiv.org/abs/2206.12344

journalhttps://doi.org/10.1109/tmi.2022.3226604

Fields of Study

Medical Imaging Techniques and ApplicationsAdvanced X-ray and CT ImagingAdvanced MRI Techniques and Applications

MeSH Terms

AlgorithmsAnimalsDogsErythrocytesTomography, Emission-Computed, Single-PhotonArtifactsCardiac Imaging Techniques

Keywords

SegmentationArtificial intelligenceComputer scienceImage registrationPartial volumeComputer visionScannerImage resolutionImage qualityImage segmentationSingle-photon emission computed tomographyBiomedical engineeringPattern recognition (psychology)Nuclear medicineImage (mathematics)Medicine

Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network

10.48550/arxiv.2206.12344arXiv