<?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%">Weissmann, Thomas</style></author><author><style face="normal" font="default" size="100%">Mansoorian, Sina</style></author><author><style face="normal" font="default" size="100%">May, Matthias Stefan</style></author><author><style face="normal" font="default" size="100%">Lettmaier, Sebastian</style></author><author><style face="normal" font="default" size="100%">Höfler, Daniel</style></author><author><style face="normal" font="default" size="100%">Deloch, Lisa</style></author><author><style face="normal" font="default" size="100%">Speer, Stefan</style></author><author><style face="normal" font="default" size="100%">Balk, Matthias</style></author><author><style face="normal" font="default" size="100%">Frey, Benjamin</style></author><author><style face="normal" font="default" size="100%">Gaipl, Udo S</style></author><author><style face="normal" font="default" size="100%">others</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Deep Learning and Registration-Based Mapping for Analyzing the Distribution of Nodal Metastases in Head and Neck Cancer Cohorts: Informing Optimal Radiotherapy Target Volume Design</style></title><secondary-title><style face="normal" font="default" size="100%">Cancers</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><number><style face="normal" font="default" size="100%">18</style></number><publisher><style face="normal" font="default" size="100%">MDPI</style></publisher><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">4620</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>