Publication:

On-Device Execution of Deep Learning Models on HoloLens2 for Real-Time Augmented Reality Medical Applications

Date

2023
Journal article
https://doi.org/10.3390/s23218698
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dc.contributor.authorZaccardi, Silvia
dc.contributor.authorFrantz, Taylor
dc.contributor.authorBeckwee, David
dc.contributor.authorSwinnen, Eva
dc.contributor.authorJansen, Bart
dc.contributor.imecauthorZaccardi, Silvia
dc.contributor.imecauthorFrantz, Taylor
dc.contributor.imecauthorJansen, Bart
dc.contributor.orcidimecFrantz, Taylor::0000-0002-9450-0529
dc.contributor.orcidimecJansen, Bart::0000-0001-8042-6834
dc.contributor.orcidimecZaccardi, Silvia::0000-0002-9133-7762
dc.date.accessioned2024-02-27T07:54:25Z
dc.date.available2023-12-09T17:05:26Z
dc.date.available2024-02-27T07:54:25Z
dc.date.embargo2023-10-25
dc.date.issued2023
dc.description.wosFundingTextAll authors acknowledge and thank the researchers whose previous publications in the field have laid the groundwork for this study. Additionally, we appreciate the valuable contributions made by the students involved in this research, Daniel Andre Asse'e Messi and Sajjad Mahmoudi.
dc.identifier.doi10.3390/s23218698
dc.identifier.issn1424-8220
dc.identifier.pmidMEDLINE:37960398
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43240
dc.publisherMDPI
dc.source.beginpageArt. 8698
dc.source.endpageN/A
dc.source.issue21
dc.source.journalSENSORS
dc.source.numberofpages15
dc.source.volume23
dc.title

On-Device Execution of Deep Learning Models on HoloLens2 for Real-Time Augmented Reality Medical Applications

dc.typeJournal article
dspace.entity.typePublication
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