Paired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstruction

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UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitle2nd XoveTIC Conference, A Coruña, Spain, 5–6 September 2019.es_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.grupoInvGrupo de Visión Artificial e Recoñecemento de Patróns (VARPA)es_ES
UDC.issue1es_ES
UDC.journalTitleProceedingses_ES
UDC.startPage45es_ES
UDC.volume21es_ES
dc.contributor.authorHervella, Álvaro S.
dc.contributor.authorRouco, José
dc.contributor.authorNovo Buján, Jorge
dc.contributor.authorOrtega Hortas, Marcos
dc.date.accessioned2019-09-10T16:21:56Z
dc.date.available2019-09-10T16:21:56Z
dc.date.issued2019-08-07
dc.description.abstract[Abstract] This work explores the use of paired and unpaired data for training deep neural networks in the multimodal reconstruction of retinal images. Particularly, we focus on the reconstruction of fluorescein angiography from retinography, which are two complementary representations of the eye fundus. The performed experiments allow to compare the paired and unpaired alternatives.es_ES
dc.description.sponsorshipInstituto de Salud Carlos III; DTS18/00136es_ES
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades; DPI2015-69948-Res_ES
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades; RTI2018-095894-B-I00es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2016-047es_ES
dc.description.sponsorshipXunta de Galicia; ED481A-2017/328.es_ES
dc.identifier.citationHERVELLA, Álvaro, et al. Paired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstruction. En Multidisciplinary Digital Publishing Institute Proceedings. 2019. p. 45.es_ES
dc.identifier.doi10.3390/proceedings2019021045
dc.identifier.issn2504-3900
dc.identifier.urihttp://hdl.handle.net/2183/23906
dc.language.isoenges_ES
dc.publisherM D P I AGes_ES
dc.relation.urihttps://doi.org/10.3390/proceedings2019021045es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectDeep learninges_ES
dc.subjectGenerative adversarial networkes_ES
dc.subjectEye funduses_ES
dc.subjectMultimodales_ES
dc.titlePaired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstructiones_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationf86fc496-ce29-415f-83eb-d14bcca42273
relation.isAuthorOfPublication0fcd917d-245f-4650-8352-eb072b394df0
relation.isAuthorOfPublication1fb98665-ea68-4cd3-a6af-83e6bb453581
relation.isAuthorOfPublication.latestForDiscoveryf86fc496-ce29-415f-83eb-d14bcca42273

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