<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Engelson, Sofija</style></author><author><style face="normal" font="default" size="100%">Jan Ehrhardt</style></author><author><style face="normal" font="default" size="100%">Elser, Yannic</style></author><author><style face="normal" font="default" size="100%">Sieren, Malte M.</style></author><author><style face="normal" font="default" size="100%">Andresen, Julia</style></author><author><style face="normal" font="default" size="100%">Schierholz, Stefanie</style></author><author><style face="normal" font="default" size="100%">Tobias Keck</style></author><author><style face="normal" font="default" size="100%">Daniel Drömann</style></author><author><style face="normal" font="default" size="100%">Barkhausen, Jörg</style></author><author><style face="normal" font="default" size="100%">Heinz Handels</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Heinz Handels</style></author><author><style face="normal" font="default" size="100%">Breininger, Katharina</style></author><author><style face="normal" font="default" size="100%">Deserno, Thomas</style></author><author><style face="normal" font="default" size="100%">Maier, Andreas</style></author><author><style face="normal" font="default" size="100%">Maier-Hein, Klaus</style></author><author><style face="normal" font="default" size="100%">Palm, Christoph</style></author><author><style face="normal" font="default" size="100%">Tolxdorff, Thomas</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Interpretable Mediastinal Lymph Node Station Classification and N-staging on CT and PET/CT Images</style></title><secondary-title><style face="normal" font="default" size="100%">Bildverarbeitung für die Medizin 2026</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2026</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer Fachmedien Wiesbaden</style></publisher><pub-location><style face="normal" font="default" size="100%">Wiesbaden</style></pub-location><pages><style face="normal" font="default" size="100%">1–9</style></pages><isbn><style face="normal" font="default" size="100%">978-3-658-51100-5</style></isbn><abstract><style face="normal" font="default" size="100%">We present an interpretable approach for automated lymph node station (LNS) classification and N-staging on PET/CT and CT only by extending two established segmentation algorithms with probabilistic atlas-based LNS mapping. Our results show that a probabilistic approach for LNS mapping improves the detection accuracy by over 40 percentage points. The proposed method yields an accuracy of 0.74 for LNS classification and 0.68 for N-staging on PET/CT, representing a significant improvement toward human-level performance compared with the baseline approach. A performance drop for CT only evaluation indicates the PET scan adds valuable information to lymph node assessment, which is in alignment with according literature.</style></abstract></record></records></xml>