Publication:
Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography

Simple item page
dc.contributor.authorHatfaludi, Cosmin-Andrei
dc.contributor.authorTache, Irina-Andra
dc.contributor.authorCiușdel, Costin Florian
dc.contributor.authorPuiu, Andrei
dc.contributor.authorStoian, Diana
dc.contributor.authorItu, Lucian Mihai
dc.contributor.authorCalmac, Lucian
dc.contributor.authorPopa-Fotea, Nicoleta-Monica
dc.contributor.authorBataila, Vlad
dc.contributor.authorScafa-Udriste, Alexandru
dc.date.accessioned2025-09-18T14:35:00Z
dc.date.issued2022-07-09
dc.description.abstract
dc.identifier.doi10.3390/app12146964
dc.identifier.issn2076-3417
dc.identifier.urihttps://repository.unitbv.ro/handle/123456789/1618
dc.publisherMDPI AG
dc.relation.ispartofApplied Sciences
dc.titleTowards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue14
oaire.citation.volume12

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
applsci-12-06964-v2 (15).pdf
Size:
2.02 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.35 KB
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

Departamentul de Automatică si Tehnologia Informatiei