h1

h2

h3

h4

h5
h6
001008128 001__ 1008128
001008128 005__ 20251127054524.0
001008128 0247_ $$2HSB$$aeva592645
001008128 0247_ $$2ISSN$$a2397-768X
001008128 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85188505852
001008128 0247_ $$2WOS$$aWOS:001189257100002
001008128 0247_ $$2doi$$a10.1038/s41698-024-00573-2
001008128 0247_ $$2pmid$$apmid:38519519
001008128 0247_ $$2datacite_doi$$a10.18154/RWTH-CONV-254498
001008128 037__ $$aRWTH-CONV-254498
001008128 041__ $$aEnglish
001008128 1001_ $$0P:(DE-82)IDM06179$$aTruhn, Daniel$$b0$$urwth
001008128 245__ $$aLarge language models and multimodal foundation models for precision oncology$$honline
001008128 260__ $$a[London]$$bSpringer Nature$$c2024
001008128 300__ $$a1-4
001008128 3367_ $$00$$2EndNote$$aJournal Article
001008128 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
001008128 3367_ $$2BibTeX$$aARTICLE
001008128 3367_ $$2DRIVER$$aarticle
001008128 3367_ $$2DataCite$$aOutput Types/Journal article
001008128 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001008128 591__ $$aGermany
001008128 7001_ $$aEckardt, Jan-Niklas$$b1
001008128 7001_ $$aFerber, Dyke$$b2
001008128 7001_ $$aKather, Jakob Nikolas$$b3$$eCorresponding author
001008128 773__ $$0PERI:(DE-600)2891458-2$$a10.1038/s41698-024-00573-2$$n1$$p72$$tnpj precision oncology$$v8$$x2397-768X
001008128 8564_ $$uhttps://publications.rwth-aachen.de/record/1008128/files/1008128.pdf$$yOpenAccess
001008128 909CO $$ooai:publications.rwth-aachen.de:1008128$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
001008128 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
001008128 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2024-12-30
001008128 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001008128 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNPJ PRECIS ONCOL : 2022$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-04-10T15:43:48Z
001008128 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-04-10T15:43:48Z
001008128 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001008128 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bNPJ PRECIS ONCOL : 2022$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-30
001008128 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-30
001008128 9141_ $$y2024
001008128 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM06179$$aRWTH Aachen$$b0$$kRWTH
001008128 9201_ $$0I:(DE-82)952210_20240405$$k952210$$lLehrstuhl für Maschinelles Lernen in der Radiologie$$x0
001008128 9201_ $$0I:(DE-82)532010-2_20140620$$k532010-2$$lKlinik und Lehrstuhl für Diagnostische und Interventionelle Radiologie$$x1
001008128 961__ $$z2025-03-20
001008128 970__ $$aeva592645
001008128 980__ $$aI:(DE-82)532010-2_20140620
001008128 980__ $$aI:(DE-82)952210_20240405
001008128 980__ $$aUNRESTRICTED
001008128 980__ $$aVDB
001008128 980__ $$ajournal
001008128 9801_ $$aFullTexts