h1

h2

h3

h4

h5
h6
001007143 001__ 1007143
001007143 005__ 20250830052712.0
001007143 0247_ $$2HSB$$aeva564805
001007143 0247_ $$2ISSN$$a0022-3123
001007143 0247_ $$2ISSN$$a0097-9058
001007143 0247_ $$2ISSN$$a0161-5505
001007143 0247_ $$2ISSN$$a1535-5667
001007143 0247_ $$2ISSN$$a2159-662X
001007143 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85199010617
001007143 0247_ $$2WOS$$aWOS:001266975900026
001007143 0247_ $$2doi$$a10.2967/jnumed.123.267112
001007143 0247_ $$2pmid$$apmid:38360054
001007143 037__ $$aRWTH-CONV-253497
001007143 041__ $$aEnglish
001007143 1001_ $$0P:(DE-82)120979$$aLohmann, Philipp$$b0$$eCorresponding author$$urwth
001007143 245__ $$aExample of Artificial Intelligence–Based Decision Support for Amino Acid PET: Early Prediction of Suspected Brain Tumor Foci for Patient Management$$honline, print
001007143 260__ $$aNew York, NY$$bSociety of Nuclear Medicine$$c2024
001007143 3367_ $$00$$2EndNote$$aJournal Article
001007143 3367_ $$0PUB:(DE-HGF)1$$2PUB:(DE-HGF)$$aAbstract
001007143 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
001007143 3367_ $$2BibTeX$$aARTICLE
001007143 3367_ $$2DRIVER$$aarticle
001007143 3367_ $$2DataCite$$aOutput Types/Journal article
001007143 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001007143 591__ $$aGermany
001007143 7001_ $$aGutsche, Robin$$b1
001007143 7001_ $$aWerner, Jan-Michael$$b2
001007143 7001_ $$0P:(DE-82)IDM02632$$aShah, Nadim Joni$$b3$$urwth
001007143 7001_ $$0P:(DE-82)013919$$aLangen, Karl-Josef$$b4$$urwth
001007143 7001_ $$aGalldiks, Norbert$$b5
001007143 773__ $$0PERI:(DE-600)2040222-3$$a10.2967/jnumed.123.267112$$n7$$p1160$$tJournal of nuclear medicine : JNM$$v65$$x0161-5505
001007143 909CO $$ooai:publications.rwth-aachen.de:1007143$$pVDB
001007143 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)120979$$aRWTH Aachen$$b0$$kRWTH
001007143 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM02632$$aRWTH Aachen$$b3$$kRWTH
001007143 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)013919$$aRWTH Aachen$$b4$$kRWTH
001007143 9141_ $$y2024
001007143 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ NUCL MED : 2022$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2025-01-01
001007143 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bJ NUCL MED : 2022$$d2025-01-01
001007143 9201_ $$0I:(DE-82)532500-2_20140620$$k532500-2$$lKlinik und Lehrstuhl für Nuklearmedizin$$x0
001007143 9201_ $$0I:(DE-82)535000-5_20140620$$k535000-5$$lLehr- und Forschungsgebiet Physik der Magnetresonanztomographie in den Neurowissenschaften (FZ Jülich)$$x1
001007143 9201_ $$0I:(DE-82)535000-2_20140620$$k535000-2$$lKlinik und Lehrstuhl für Neurologie$$x2
001007143 9201_ $$0I:(DE-82)532500-3_20140620$$k532500-3$$lLehr- und Forschungsgebiet Experimentelle und klinische Nuklearmedizin (FZ Jülich)$$x3
001007143 961__ $$z2025-03-20
001007143 970__ $$aeva564805
001007143 980__ $$aI:(DE-82)532500-2_20140620
001007143 980__ $$aI:(DE-82)532500-3_20140620
001007143 980__ $$aI:(DE-82)535000-2_20140620
001007143 980__ $$aI:(DE-82)535000-5_20140620
001007143 980__ $$aUNRESTRICTED
001007143 980__ $$aVDB
001007143 980__ $$aabstract
001007143 980__ $$ajournal