Publication:

Feasibility of virtual dual-energy imaging through deep learning for markerless tumour tracking

Date

2020
Meeting abstract
https://doi.org/10.1016/S0167-8140(21)01750-3
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dc.contributor.authorSanchez, S. Amador
dc.contributor.authorDhont, J.
dc.contributor.authorDe Mey, J.
dc.contributor.authorMalbrain, M.
dc.contributor.authorVandemeulebroucke, Jef
dc.contributor.imecauthorSanchez, S. Amador
dc.contributor.imecauthorDhont, J.
dc.contributor.imecauthorVandemeulebroucke, J.
dc.contributor.imecauthorVandemeulebroucke, Jef
dc.contributor.orcidimecVandemeulebroucke, Jef::0000-0001-5714-3254
dc.date.accessioned2021-11-25T15:41:14Z
dc.date.available2021-11-02T16:01:36Z
dc.date.available2021-11-25T15:41:14Z
dc.date.issued2020
dc.identifier.doi10.1016/S0167-8140(21)01750-3
dc.identifier.issn0167-8140
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37914
dc.publisherELSEVIER IRELAND LTD
dc.source.beginpageS960
dc.source.conferenceESTRO 2020
dc.source.conferencedate28 November to 1 December 2020
dc.source.conferencelocationVirtual
dc.source.endpageS960
dc.source.journalRADIOTHERAPY AND ONCOLOGY
dc.source.numberofpages1
dc.source.volume152
dc.title

Feasibility of virtual dual-energy imaging through deep learning for markerless tumour tracking

dc.typeMeeting abstract
dspace.entity.typePublication
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