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Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction

IEEE Access(2020)10.1109/access.2020.3033795Source: DataRank Database

Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction is a research paper published in IEEE Access (2020). On theSindex it has a DataRank of 0. It has been cited 45 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access45 citations

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Linked data & code

Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view Breast CT Image Reconstruction · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 2.78)OA: goldTopics (33)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (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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Authors (8)

Hongming Shan ORCID,Wenxiang Cong ORCID,Chi Liu ORCID,Xiaohua Zhang ORCID,Shaohua Liu ORCID

Live enrichment

PubMed:33251081 PMC:PMC7695229 OpenAlex:https://openalex.org/W3096461526

NIH/NCI

Grant: R01CA233888

NIH/NCI

Grant: R01CA237267

NIH/NIBIB

Grant: R01EB026646

NIH/NHLBI

Grant: R01HL151561

National Institutes of Health

Grant: 3R01EB026646-04S1

Life time imaging with pulsed x-ray based x-ray luminescence computed tomography

National Institutes of Health

Grant: 5R01HL151561-03

Cardiac CT Deblooming

National Institutes of Health

Grant: 5R01CA237267-02

Photon-counting X-ray and Optical Tomography for Preclinical Cancer Research

National Institutes of Health

Grant: 5R01CA233888-05

Development and Validation of Prognostic Radiomic Markers of Response and Recurrence for Patients with Colorectal Liver Metastases

FWCI

2.78

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://ieeexplore.ieee.org/ielx7/6287639/8948470/09239986.pdf

publisherhttps://ieeexplore.ieee.org/ielx7/6287639/8948470/09239986.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/8948470/09239986.pdf?arnumber=9239986

journalhttps://doi.org/10.1109/access.2020.3033795

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33251081

Fields of Study

Medical Imaging Techniques and ApplicationsAI in cancer detectionDigital Radiography and Breast Imaging02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

Keywords

Iterative reconstructionComputer scienceBreast reconstructionComputer visionArtificial intelligenceImage (mathematics)End-to-end principleBreast cancerMedicineLow-dose CtBreast CtX-ray CtDeep LearningFew-view CtFOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionMachine Learning (stat.ML)Electrical Engineering and Systems Science - Image and Video ProcessingTK1-9971Machine Learning (cs.LG)Statistics - Machine LearningFOS: Electrical engineering, electronic engineering, information engineeringElectrical engineering. Electronics. Nuclear engineering

Sustainable Development Goals

SDG 0: Sustainable cities and communities

Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view Breast CT Image Reconstruction

10.48550/arxiv.1912.04278arXiv