<?xml version="1.0" encoding="UTF-8"?>
<xml><records><RECORD><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><REFERENCE_TYPE>0</REFERENCE_TYPE><CONTRIBUTORS><AUTHORS><AUTHOR><style face="normal" font="default" size="100%">Sweta Banerjee</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Viktoria Weiss</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Taryn Donovan</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Rutger Fick</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Thomas Conrad</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Jonas Ammeling</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Nils Porsche</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Robert Klopfleisch</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Christopher Kaltenecker</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Katharina Breininger</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Marc Aubreville</style></AUTHOR><AUTHOR><style face="normal" font="default" size="100%">Christof Bertram</style></AUTHOR></AUTHORS></CONTRIBUTORS><TITLES><TITLE><style face="normal" font="default" size="100%">Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation</style></TITLE></TITLES><KEYWORDS/><DATES/><AUTHORS><style face="normal" font="default" size="100%"/></AUTHORS><YEAR><style face="normal" font="default" size="100%">2026</style></YEAR><SECONDARY_TITLE><style face="normal" font="default" size="100%">Machine Learning for Biomedical Imaging</style></SECONDARY_TITLE><VOLUME><style face="normal" font="default" size="100%">3</style></VOLUME><PAGES><style face="normal" font="default" size="100%">115-125</style></PAGES><SECTION><style face="normal" font="default" size="100%">115</style></SECTION><URL><style face="normal" font="default" size="100%">https://doi.org/10.59275/j.melba.2026-6c1g</style></URL><title><style face="normal" font="default" size="100%">Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation</style></title></RECORD></records></xml>
