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dc.contributor.authorSushentsev, N
dc.contributor.authorRundo, L
dc.contributor.authorAbrego, L
dc.contributor.authorLi, Z
dc.contributor.authorNazarenko, T
dc.contributor.authorWarren, AY
dc.contributor.authorGnanapragasam, VJ
dc.contributor.authorSala, E
dc.contributor.authorZaikin, A
dc.contributor.authorBarrett, T
dc.contributor.authorBlyuss, O
dc.date.accessioned2023-10-17T12:55:13Z
dc.date.available2023-01-09
dc.date.available2023-10-17T12:55:13Z
dc.date.issued2023
dc.identifier.issn0938-7994
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/91355
dc.relation.ispartofEUROPEAN RADIOLOGY
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectProstatic neoplasmsen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectArtificial intelligenceen_US
dc.titleTime series radiomics for the prediction of prostate cancer progression in patients on active surveillanceen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00330-023-09438-x
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000928954700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States