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Virtual Monoenergetic CT Imaging via Deep Learning

Patterns(2020)10.1016/j.patter.2020.100128Source: DataRank Database

Virtual Monoenergetic CT Imaging via Deep Learning is a research paper published in Patterns (2020). On theSindex it has a DataRank of 1.9. It has been cited 47 times, with 39 citing works in its 1-hop citation network.

N/A

1.9DataRank · unranked

Scored on demand from live citation data

Open Access47 citations · 39 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: goldTopics (11)IDs (PubMed)

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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DataRank Breakdown

Base Score 31%Citation Network 69%

Base Score Contribution

0.581

From this paper's citation signal

Citation Network Contribution

1.3

From 29 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 39 citers.

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Pseudo low-energy monochromatic imaging of head and neck cancers: Deep learning image reconstruction with dual-energy CT
International Journal of Computer Assisted Radiology and Surgery202210 citations24 referencesContributes 0.100
Deep Embedding-Attention-Refinement for Sparse-View CT Reconstruction
IEEE Transactions on Instrumentation and Measurement202280 citations52 referencesContributes 0.085
Improved GAN: Using a transformer module generator approach for material decomposition
Computers in Biology and Medicine202222 citations38 referencesContributes 0.083

Authors (5)

Yan Xi ORCID,Paul B. Fitzgerald ORCID,Bruno De Man ORCID,Ge Wang ORCID,Wenxiang Cong ORCID

Live enrichment

PubMed:19767382

National Institutes of Health

Grant: R01HL151561

National Institutes of Health

Grant: R01CA237267

National Institutes of Health

Grant: R01EB026646

National Institutes of Health

Grant: 5R01CA237267-02

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

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

goldLicense: cc-by-nc-nd

publisherhttp://www.cell.com/article/S2666389920301690/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2666389920301690?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666389920301690?httpAccept=text/plain

repositoryhttps://doaj.org/article/2b28d888d90444babf3a3bf2061c5ed5

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7691386

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

QA76.75-76.765machine learningVMcomputed tomographyComputer softwaremulti-material decompositionvirtual monoenergetic imagingArticleMMD