1. Repositório PUCRS
  2. PUBLICAÇÕES CIENTÍFICAS
  3. Artigo de Periódico
Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/20326
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChristian S Perone-
dc.contributor.authorPedro Lemos Ballester-
dc.contributor.authorRodrigo Coelho Barros-
dc.contributor.authorJulien Cohen-Adad-
dc.date.accessioned2021-12-14T13:40:49Z-
dc.date.available2021-12-14T13:40:49Z-
dc.date.issued2019-
dc.identifier.issn1053-8119-
dc.identifier.urihttps://hdl.handle.net/10923/20326-
dc.language.isopt_BR-
dc.relation.ispartofNEUROIMAGE-
dc.rightsopenAccess-
dc.titleUnsupervised domain adaptation for medical imaging segmentation with self-ensembling-
dc.typeArticle-
dc.date.updated2021-12-14T13:40:47Z-
dc.identifier.doiDOI:10.1016/j.neuroimage.2019.03.026-
dc.jtitleNEUROIMAGE-
dc.volume194-
dc.spage1-
dc.epage11-
Appears in Collections:Artigo de Periódico

Files in This Item:
File Description SizeFormat 
Unsupervised_domain_adaptation_for_medical_imaging_segmentation_with_selfensembling.pdf1,51 MBAdobe PDFOpen
View
Show simple item record See statistics Search for other versions of fulltext via SFX


All Items in PUCRS Repository are protected by copyright, with all rights reserved, and are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Read more.