Publication:

Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks

Date

2024
Journal article
https://doi.org/10.1007/s10489-024-05647-z
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dc.contributor.authorLuso, Domenico
dc.contributor.authorChatterjee, Soumick
dc.contributor.authorCornelissen, Sven
dc.contributor.authorVerhees, Dries
dc.contributor.authorDe Beenhouwer, Jan
dc.contributor.authorSijbers, Jan
dc.contributor.imecauthorDe Beenhouwer, Jan
dc.contributor.imecauthorSijbers, Jan
dc.contributor.imecauthorLuso, Domenico
dc.contributor.orcidimecDe Beenhouwer, Jan::0000-0001-5253-1274
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.contributor.orcidimecLuso, Domenico::0000-0001-7919-7878
dc.date.accessioned2025-03-25T08:53:18Z
dc.date.available2024-11-06T17:16:09Z
dc.date.available2025-03-25T08:53:18Z
dc.date.embargo2024-10-31
dc.date.issued2024
dc.description.wosFundingTextThis study is financially supported by the VLAIO/imec-ICON project Multiplicity, the Research Foundation Flanders (FWO, SBO grant no. S007219N) and the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme.
dc.identifier.doi10.1007/s10489-024-05647-z
dc.identifier.issn0924-669X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44743
dc.publisherSPRINGER
dc.source.beginpage13160
dc.source.endpage13177
dc.source.issue24
dc.source.journalAPPLIED INTELLIGENCE
dc.source.numberofpages18
dc.source.volume54
dc.subject.keywordsCOMPUTED-TOMOGRAPHY
dc.subject.keywordsU-NET
dc.subject.keywordsLASER
dc.subject.keywordsCT
dc.subject.keywordsSLM
dc.title

Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks

dc.typeJournal article
dspace.entity.typePublication
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