Show simple item record

dc.contributor.authorKrams, Ren_US
dc.contributor.authorPreston, Gen_US
dc.contributor.authorChamorro, Len_US
dc.contributor.authorMorgan, Ben_US
dc.contributor.authorSima, Yen_US
dc.contributor.authorMurali, Aen_US
dc.contributor.authorBourantas, Cen_US
dc.contributor.authorTorii, Ren_US
dc.contributor.authorMathur, Aen_US
dc.contributor.authorBaumbach, Aen_US
dc.contributor.authorKarabasov, Sen_US
dc.contributor.authorBasic Scienceen_US
dc.date.accessioned2024-01-08T12:50:40Z
dc.date.issued2023-06en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/93541
dc.format.extenta255.1 - a2a255en_US
dc.publisherBMJen_US
dc.titleBS12 A novel physics-based artificial intelligence technique rapidly reconstructs the 3D velocity, shear stress and pressure fields in coronary arteries.en_US
dc.typeConference Proceeding
dc.identifier.doi10.1136/heartjnl-2023-bcs.226en_US
pubs.notesNot knownen_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record