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dc.contributor.authorEekers, D
dc.contributor.authorIn 't Ven, L
dc.contributor.authorRoelofs, E
dc.contributor.authorPostma, A
dc.contributor.authorAlapetite, C
dc.contributor.authorBurnet, N
dc.contributor.authorCalugaru, V
dc.contributor.authorCompter, I
dc.contributor.authorCoremans, I
dc.contributor.authorHøyer, M
dc.contributor.authorLambrecht, M
dc.contributor.authorNyström, P
dc.contributor.authorRomero, A
dc.contributor.authorPaulsen, F
dc.contributor.authorPerpar, A
dc.contributor.authorde Ruysscher, D
dc.contributor.authorRenard, L
dc.contributor.authorTimmermann, B
dc.contributor.authorVitek, P
dc.contributor.authorWeber, D
dc.contributor.authorvan der Weide, H
dc.contributor.authorWhitfield, Gillian A
dc.contributor.authorWiggenraad, R
dc.contributor.authorTroost, E
dc.date.accessioned2018-04-24T19:45:15Z
dc.date.available2018-04-24T19:45:15Z
dc.date.issued2018-03-13
dc.identifier.citationThe EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology. 2018, Radiother Oncolen
dc.identifier.issn1879-0887
dc.identifier.pmid29548560
dc.identifier.doi10.1016/j.radonc.2017.12.013
dc.identifier.urihttp://hdl.handle.net/10541/620901
dc.description.abstractTo create a digital, online atlas for organs at risk (OAR) delineation in neuro-oncology based on high-quality computed tomography (CT) and magnetic resonance (MR) imaging.
dc.language.isoenen
dc.rightsArchived with thanks to Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncologyen
dc.titleThe EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology.en
dc.typeArticleen
dc.contributor.departmentDepartment of Radiation Oncology (MAASTRO), GDepartment of Radiation Oncology (MAASTRO), GDepartment of Radiation Oncology (MAASTRO), GDepartment of Radiology and Nuclear Medicine MUMC+, Maastricht, The Netherlanden
dc.identifier.journalRadiotherapy and Oncologyen
refterms.dateFOA2018-12-17T15:19:28Z
html.description.abstractTo create a digital, online atlas for organs at risk (OAR) delineation in neuro-oncology based on high-quality computed tomography (CT) and magnetic resonance (MR) imaging.


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