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Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3241454Source: DataRank Database

Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics is a research paper published in IEEE Transactions on Medical Imaging (2023). On theSindex it has a DataRank of 0. It has been cited 38 times.

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Open Access38 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (12 grants)OA: hybridTopics (14)IDs (PubMed, PMC)

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Authors (7)

Dimitrios S. Gotsis,Frank J. Brooks ORCID,Prabhat KC ORCID,Kyle J. Myers ORCID,Rongping Zeng ORCID

Live enrichment

PubMed:37022374 PMC:PMC10314718

National Institutes of Health

Grant: EB020604

National Institutes of Health

Grant: EB023045

National Institutes of Health

Grant: EB028652

National Institutes of Health

Grant: NS102213

U.S. Food and Drug Administration

Grant: Critical Path Funding

NIBIB NIH HHS

Grant: R01 EB028652

NIBIB NIH HHS

Grant: R01 EB031585

NIBIB NIH HHS

Grant: P41 EB031772

National Institutes of Health

Grant: 3P41EB031772-03S1

Center for Label-free Imaging and Multiscale Biophotonics (CLIMB)

National Institutes of Health

Grant: 1R01EB031585-01A1

A Computational Framework Enabling Virtual Imaging Trials of 3D Quantitative Optoacoustic Tomography Breast Imaging

National Institutes of Health

Grant: 5R01NS102213-03

Safe, rapid & functional pediatric brain imaging using photoacoustic computed tomography

Oak Ridge Institute for Science and Education

hybridLicense: cc-by

publisherhttps://ieeexplore.ieee.org/ielx7/42/4359023/10034780.pdf

publisherhttps://ieeexplore.ieee.org/ielam/42/10142147/10034780-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/42/10142147/10034780.pdf?arnumber=10034780

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10314718/pdf/nihms-1906001.pdf

repositoryhttps://www.osti.gov/biblio/1922992

Fields of Study

02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

Keywords

FOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Physical sciencesElectrical Engineering and Systems Science - Image and Video ProcessingPhysics - Medical PhysicsArticleFOS: Electrical engineering, electronic engineering, information engineeringMedical Physics (physics.med-ph)