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Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images

Lecture notes in computer science(2022)10.1007/978-3-031-16446-0_58Source: DataRank Database

Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images is a research paper published in Lecture notes in computer science (2022). On theSindex it has a DataRank of 0. It has been cited 10 times.

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Open Access10 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (13)IDs (PubMed, PMC)

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Authors (7)

Shuo Han ORCID,Yuan Xue ORCID,Aaron Carass ORCID,Trac D. Tran ORCID,Dzung L. Pham ORCID

Live enrichment

PubMed:39628633 PMC:PMC11613140

NIH HHS

Grant: R21 OD030163

National Science Foundation

Grant: 1746891

Graduate Research Fellowship Program (GRFP)

National Institutes of Health

Grant: 1R21OD030163-01A1

Advanced Image Analysis Tools for Super-Resolved MRI in Small Animals

greenLicense: Springer Nature TDM

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11613140

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-16446-0_58

https://doi.org/10.1007/978-3-031-16446-0_58

https://dx.doi.org/10.48550/arxiv.2209.02611

https://pubmed.ncbi.nlm.nih.gov/39628633

Fields of Study

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

Keywords

MRISuper-resolutionFilter BankFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video Processing