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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/aime/TenderiniBSMDBA23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Annalisa_Buffa>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Emmanuel_Abbe>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Federico_Betti>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Olivier_Muller>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ortal_Yona_Senouf>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Riccardo_Tenderini>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Simone_Deparis>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F978-3-031-34344-5%5F26>
foaf:homepage <https://doi.org/10.1007/978-3-031-34344-5_26>
dc:identifier DBLP conf/aime/TenderiniBSMDBA23 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-031-34344-5%5F26 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
rdfs:label Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Annalisa_Buffa>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Emmanuel_Abbe>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Federico_Betti>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Olivier_Muller>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ortal_Yona_Senouf>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Riccardo_Tenderini>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Simone_Deparis>
swrc:pages 218-228 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/aime/2023>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/aime/TenderiniBSMDBA23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/aime/TenderiniBSMDBA23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/aime/aime2023.html#TenderiniBSMDBA23>
rdfs:seeAlso <https://doi.org/10.1007/978-3-031-34344-5_26>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/aime>
dc:title Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document