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NIMG-67. MULTI-PARAMETRIC MRI-BASED MACHINE LEARNING ANALYS..:
Akbari, Hamed
;
Mohan, Suyash
;
Garcia, Jose
...
Neuro-Oncology. 24 (2022) Supplement_7 - p. vii179-vii180 , 2022
Link:
https://doi.org/10.1093/neuonc/noac209.685
RT Journal T1
NIMG-67. MULTI-PARAMETRIC MRI-BASED MACHINE LEARNING ANALYSIS FOR PREDICTION OF NEOPLASTIC INFILTRATION AND RECURRENCE IN PATIENTS WITH GLIOBLASTOMA: UPDATES FROM THE MULTI-INSTITUTIONAL RESPOND CONSORTIUM
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_neuonc_noac209.685&Exemplar=1&LAN=DE A1 Akbari, Hamed A1 Mohan, Suyash A1 Garcia, Jose A1 Kazerooni, Anahita Fathi A1 Sako, Chiharu A1 Bakas, Spyridon A1 Bilello, Michel A1 Bagley, Stephen A1 Baid, Ujjwal A1 Brem, Steven A1 Lustig, Robert A1 Nasrallah, MacLean A1 O'Rourke, Donald A1 Barnholtz-Sloan, Jill A1 Badve, Chaitra A1 Sloan, Andrew A1 Jain, Rajan A1 Lee, Matthew A1 Chakravarti, Arnab A1 Palmer, Joshua A1 Taylor, William A1 Cepeda, Santiago A1 Dicker, Adam A1 Flanders, Adam A1 Shi, Wenyin A1 Shukla, Gaurav A1 Calabrese, Evan A1 Rudie, Jeffrey A1 Villanueva-Meyer, Javier A1 LaMontagne, Pamela PB Oxford University Press (OUP) YR 2022 SN 1522-8517 SN 1523-5866 JF Neuro-Oncology VO 24 IS Supplement_7 SP vii179 OP vii180 LK http://dx.doi.org/https://doi.org/10.1093/neuonc/noac209.685 DO https://doi.org/10.1093/neuonc/noac209.685 SF ELIB - SuUB Bremen
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