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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/spm/HammernikKYHRKA23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Burhaneddin_Yaman>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_Rueckert>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Florian_Knoll>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kerstin_Hammernik>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Mehmet_Ak%E2%88%9A%C3%9Fakaya>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Thomas_K%E2%88%9A%C4%BEstner>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Zhengnan_Huang>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FMSP.2022.3215288>
foaf:homepage <https://doi.org/10.1109/MSP.2022.3215288>
dc:identifier DBLP journals/spm/HammernikKYHRKA23 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FMSP.2022.3215288 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/spm>
rdfs:label Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Burhaneddin_Yaman>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniel_Rueckert>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Florian_Knoll>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Kerstin_Hammernik>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Mehmet_Ak%E2%88%9A%C3%9Fakaya>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Thomas_K%E2%88%9A%C4%BEstner>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Zhengnan_Huang>
swrc:number 1 (xsd:string)
swrc:pages 98-114 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/spm/HammernikKYHRKA23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/spm/HammernikKYHRKA23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/spm/spm40.html#HammernikKYHRKA23>
rdfs:seeAlso <https://doi.org/10.1109/MSP.2022.3215288>
dc:title Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 40 (xsd:string)