Publication:

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data

Date

2024
Journal article
https://doi.org/10.1016/j.media.2024.103230
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dc.contributor.authorBoulogne, Luuk H.
dc.contributor.authorLorenz, Julian
dc.contributor.authorKienzle, Daniel
dc.contributor.authorSchoen, Robin
dc.contributor.authorLudwig, Katja
dc.contributor.authorLienhart, Rainer
dc.contributor.authorJegou, Simon
dc.contributor.authorLi, Guang
dc.contributor.authorChen, Cong
dc.contributor.authorWang, Qi
dc.contributor.authorShi, Derik
dc.contributor.authorManiparambil, Mayug
dc.contributor.authorMueller, Dominik
dc.contributor.authorMertes, Silvan
dc.contributor.authorSchroeter, Niklas
dc.contributor.authorHellmann, Fabio
dc.contributor.authorElia, Miriam
dc.contributor.authorDirks, Ine
dc.contributor.authorBossa, Matias Nicolas
dc.contributor.authorBerenguer, Abel Diaz
dc.contributor.imecauthorBossa, Matias Nicolas
dc.contributor.imecauthorBerenguer, Abel Diaz
dc.contributor.imecauthorMukherjee, Tanmoy
dc.contributor.imecauthorVandemeulebroucke, Jef
dc.contributor.imecauthorSahli, Hichem
dc.contributor.imecauthorDeligiannis, Nikolaos
dc.contributor.orcidimecMukherjee, Tanmoy::0000-0002-9540-5398
dc.contributor.orcidimecVandemeulebroucke, Jef::0000-0001-5714-3254
dc.contributor.orcidimecSahli, Hichem::0000-0002-1774-2970
dc.contributor.orcidimecDeligiannis, Nikolaos::0000-0001-9300-5860
dc.date.accessioned2025-01-23T10:28:07Z
dc.date.available2024-07-05T18:51:14Z
dc.date.available2025-01-23T10:28:07Z
dc.date.embargo2024-06-14
dc.date.issued2024
dc.description.wosFundingTextThe European Regional Development Fund had no role in the study design, data collection, data analysis, data interpretation, or writing of the manuscript. Amazon Web Services funded algorithm evaluation, algorithm training for the Final phase, and prizes to the best performing teams.
dc.identifier.doi10.1016/j.media.2024.103230
dc.identifier.issn1361-8415
dc.identifier.pmidMEDLINE:38875741
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44127
dc.publisherELSEVIER
dc.source.beginpageArt. 103230
dc.source.endpageN/A
dc.source.issueOctober
dc.source.journalMEDICAL IMAGE ANALYSIS
dc.source.numberofpages17
dc.source.volume97
dc.subject.keywordsSEGMENTATION
dc.subject.keywordsCT
dc.subject.keywordsALGORITHMS
dc.subject.keywordsPREDICTION
dc.subject.keywordsVALIDATION
dc.subject.keywordsDIAGNOSIS
dc.subject.keywordsIMAGES
dc.subject.keywordsAREAS
dc.title

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data

dc.typeJournal article
dspace.entity.typePublication
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