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True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation

European Journal of Nuclear Medicine and Molecular Imaging(2021)10.1007/s00259-020-05151-9Source: DataRank Database

True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation is a research paper published in European Journal of Nuclear Medicine and Molecular Imaging (2021). On theSindex it has a DataRank of 0. It has been cited 57 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access57 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)Impact (FWCI 5.07)OA: greenTopics (36)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 (13)

Tyler N. Toueg ORCID,Mary Ellen I. Koran ORCID,Guido Davidzon ORCID,Michael Zeineh ORCID,Dawn Holley

Live enrichment

PubMed:33416955 PMC:PMC8891344 OpenAlex:https://openalex.org/W3119481803

National Institutes of Health

Grant: P41-EB015891

National Institutes of Health

Grant: P50-AG047366

NIA NIH HHS

Grant: R01 AG061120

NIA NIH HHS

Grant: P30 AG066515

NIA NIH HHS

Grant: K99 AG068310

NIBIB NIH HHS

Grant: P41 EB015891

NIA NIH HHS

Grant: P50 AG047366

National Institutes of Health

Grant: 5P50AG047366-03

Stanford Alzheimer's Disease Research Center

National Institutes of Health

Grant: 8P41EB015891-18

Center for Advanced Magnetic Resonance Technology at Stanford

Michael J. Fox Foundation for Parkinson's Research

Life Molecular Imaging

Foundation of the American Society of Neuroradiology

General Electric

FWCI

5.07

Citation Percentile

1.0%

Citation Trend

2021

2022

2023

2024

2025

2026

greenLicense: Springer TDM

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8891344

publisherhttps://link.springer.com/content/pdf/10.1007/s00259-020-05151-9.pdf

publisherhttps://link.springer.com/article/10.1007/s00259-020-05151-9/fulltext.html

journalhttps://doi.org/10.1007/s00259-020-05151-9

Fields of Study

Medical Imaging Techniques and ApplicationsAdvanced Radiotherapy TechniquesRadiation Dose and Imaging03 medical and health sciences0302 clinical medicineDeep LearningHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPositron-Emission TomographyReproducibility of ResultsTomography, X-Ray Computed

MeSH Terms

Deep LearningHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingTomography, X-Ray ComputedReproducibility of ResultsPositron-Emission Tomography

Keywords

MedicineAmyloid (mycology)Nuclear medicinePositron emission tomographyRadiologyMedical physicsPathologyPet/mriAmyloid PetDeep LearningUltra-low-dose PetPositron-Emission TomographyImage Processing, Computer-AssistedHumansReproducibility of ResultsTomography, X-Ray ComputedMagnetic Resonance Imaging

Sustainable Development Goals

SDG 0: Good health and well-being