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Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks

arXiv (Cornell University)(2020)10.48550/arxiv.2005.09766Source: DataRank Database

Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks is a research paper published in arXiv (Cornell University) (2020). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: bronzeTopics (13)

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)

Hui Ren ORCID,Quanzheng Li ORCID,Dufan Wu ORCID

Live enrichment

National Institutes of Health

Grant: 1RF1AG052653-01A1

Study of Brain Spreading Pathways of Tau and Amyloid-Beta in (pre)clinical AD

National Institutes of Health

Grant: 3P41EB022544-03S1

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

bronzeLicense: IEEE Copyright

https://doi.org/10.1109/trpms.2020.2996566

http://arxiv.org/pdf/2005.09766

https://dx.doi.org/10.48550/arxiv.2005.09766

http://arxiv.org/abs/2005.09766

https://arxiv.org/abs/2005.09766

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringFOS: Physical sciencesMedical Physics (physics.med-ph)Electrical Engineering and Systems Science - Image and Video ProcessingPhysics - Medical PhysicsMachine Learning (cs.LG)