<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gomaa, Ahmed</style></author><author><style face="normal" font="default" size="100%">Huang, Yixing</style></author><author><style face="normal" font="default" size="100%">Hagag, Amr</style></author><author><style face="normal" font="default" size="100%">Schmitter, Charlotte</style></author><author><style face="normal" font="default" size="100%">Höfler, Daniel</style></author><author><style face="normal" font="default" size="100%">Weissmann, Thomas</style></author><author><style face="normal" font="default" size="100%">Breininger, Katharina</style></author><author><style face="normal" font="default" size="100%">Schmidt, Manuel</style></author><author><style face="normal" font="default" size="100%">Stritzelberger, Jenny</style></author><author><style face="normal" font="default" size="100%">Delev, Daniel</style></author><author><style face="normal" font="default" size="100%">others</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comprehensive multimodal deep learning survival prediction enabled by a transformer architecture: A multicenter study in glioblastoma</style></title><secondary-title><style face="normal" font="default" size="100%">Neuro-Oncology Advances</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year></dates><number><style face="normal" font="default" size="100%">1</style></number><publisher><style face="normal" font="default" size="100%">Oxford University Press US</style></publisher><volume><style face="normal" font="default" size="100%">6</style></volume><pages><style face="normal" font="default" size="100%">vdae122</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>