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Personalized synthetic MR imaging with deep learning enhancements

Magnetic Resonance in Medicine(2022)10.1002/mrm.29527Source: DataRank Database

Personalized synthetic MR imaging with deep learning enhancements is a research paper published in Magnetic Resonance in Medicine (2022). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Scored on demand from live citation data

Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.86)OA: hybridTopics (38)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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 (3)

Somak Dutta ORCID,Ranjan Maitra ORCID,Subrata Pal ORCID

Live enrichment

PubMed:36420834 PMC:PMC10100029 OpenAlex:https://openalex.org/W4309874409

National Institute of Biomedical Imaging and Bioengineering

Grant: R21EB034184

NIBIB NIH HHS

Grant: R21 EB016212

National Institutes of Health

Grant: 1R21EB034184-01A1

Improving functional MRI Analysis via Integrated One-Step Tensor-variate Methodology

FWCI

0.86

Citation Percentile

0.7%

Citation Trend

2022

2023

2024

2025

hybridLicense: cc-by-nc-nd

journalhttps://doi.org/10.1002/mrm.29527

publisherhttps://doi.org/10.1002/mrm.29527

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29527

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/mrm.29527

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36420834

Fields of Study

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity StudiesSparse and Compressive Sensing Techniques03 medical and health sciences0302 clinical medicineDeep LearningSignal-To-Noise RatioMagnetic Resonance ImagingNeural Networks, ComputerSoftwareImage Processing, Computer-Assisted

MeSH Terms

Deep LearningImage Processing, Computer-AssistedMagnetic Resonance ImagingSoftwareNeural Networks, ComputerSignal-To-Noise Ratio

Keywords

Computer scienceWorkflowArtificial intelligenceDeep learningReal-time MRIMagnetic resonance imagingPattern recognition (psychology)DenoisingSynthetic MriBloch TransformDeep-image-priorDeep-learningDiagnostic and Therapeutic Techniques and EquipmentSignal-To-Noise RatioDegreeDisciplines::Medicine and Health Sciences::Analytical004Technical Note—Computer Processing and ModelingDegreeDisciplines::Physical Sciences and Mathematics::Statistics and Probability::Statistical MethodologyImage Processing, Computer-AssistedNeural Networks, ComputerSoftware

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure