Publication:

Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images

Date

2021
Proceedings Paper
https://doi.org/10.1007/978-3-030-87231-1_41
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dc.contributor.authorTsiligianni, Evaggelia
dc.contributor.authorZerva, Matina
dc.contributor.authorMarivani, Iman
dc.contributor.authorKondi, Lisimachos
dc.contributor.authorDeligiannis, Nikolaos
dc.contributor.imecauthorMarivani, Iman
dc.contributor.imecauthorDeligiannis, Nikolaos
dc.contributor.orcidimecDeligiannis, Nikolaos::0000-0001-9300-5860
dc.date.accessioned2022-03-22T12:23:45Z
dc.date.available2021-11-27T02:07:04Z
dc.date.available2022-03-22T12:23:45Z
dc.date.issued2021
dc.identifier.doi10.1007/978-3-030-87231-1_41
dc.identifier.eisbn978-3-030-87231-1
dc.identifier.isbn978-3-030-87230-4
dc.identifier.issn0302-9743
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38478
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage421
dc.source.conferenceInternational Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
dc.source.conferencedateSEP 27-OCT 01, 2021
dc.source.conferencelocationVirtual
dc.source.endpage429
dc.source.journalna
dc.source.numberofpages9
dc.source.volume12906
dc.subject.keywordsLINEAR INVERSE PROBLEMS
dc.subject.keywordsCONVOLUTIONAL NEURAL-NETWORKS
dc.title

Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images

dc.typeProceedings paper
dspace.entity.typePublication
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