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1 Ergebnisse
1
NIMG-28. PROSPECTIVE HISTOPATHOLOGY-VALIDATED MACHINE LEARN..:
Akbari, Hamed
;
Kazerooni, Anahita Fathi
;
Bakas, Spyridon
...
Neuro-Oncology. 23 (2021) Supplement_6 - p. vi134-vi135 , 2021
Link:
https://doi.org/10.1093/neuonc/noab196.528
RT Journal T1
NIMG-28. PROSPECTIVE HISTOPATHOLOGY-VALIDATED MACHINE LEARNING FOR DISTINGUISHING TRUE PROGRESSION FROM TREATMENT-RELATED CHANGES IN GLIOBLASTOMA PATIENTS
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_neuonc_noab196.528&Exemplar=1&LAN=DE A1 Akbari, Hamed A1 Kazerooni, Anahita Fathi A1 Bakas, Spyridon A1 Sako, Chiharu A1 Mamourian, Elizabeth A1 Rudie, Jeffrey D A1 Shukla, Gaurav A1 Bagley, Stephen J A1 Desai, Arati A1 Brem, Steven A1 Lustig, Robert A A1 Wolf, Ronald L A1 Bilello, Michel A1 O'Rourke, Donald M A1 Mohan, Suyash A1 Nasrallah, MacLean A1 Davatzikos, Christos PB Oxford University Press (OUP) YR 2021 SN 1522-8517 SN 1523-5866 JF Neuro-Oncology VO 23 IS Supplement_6 SP vi134 OP vi135 LK http://dx.doi.org/https://doi.org/10.1093/neuonc/noab196.528 DO https://doi.org/10.1093/neuonc/noab196.528 SF ELIB - SuUB Bremen
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