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Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography

Medical Physics(2022)10.1002/mp.16078Source: DataRank Database

Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography is a research paper published in Medical Physics (2022). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET · arXiv

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Enrichment:Funding (2 grants)OA: greenTopics (19)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC)

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Authors (6)

Thibault Marin ORCID,Amal Tiss ORCID,Jonghye Woo ORCID,Georges El Fakhri ORCID,Jinsong Ouyang ORCID

Live enrichment

PubMed:36331429 PMC:PMC10087283

NIBIB NIH HHS

Grant: P41 EB022544

National Institutes of Health

Grant: 3P41EB022544-03S1

Center for Molecular Imaging Technology and Translation (CMITT). Administrative Supplement to P41EB022544

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2303.10057

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16078

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/mp.16078

publisherhttps://aapm.onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16078

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10087283/pdf/nihms-1854999.pdf

Fields of Study

03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

MeSH Terms

Positron-Emission TomographyBayes TheoremComputer SimulationDeep LearningNeural Networks, Computer

Keywords

MCMCPosteriorDeep LearningVariational InferenceConditional Variational Auto-encoderDynamic Brain Pet ImagingPositron-Emission TomographyBayes TheoremComputer SimulationNeural Networks, Computer

Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET

10.48550/arxiv.2303.10057arXiv