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Krauss, Sara and Spiess, Ellena and Hieber, Daniel and Schobel, Johannes and Kramer, Frank and Müller, Dominik (2026) Overcoming Domain Shift in Atypical Mitotic Figure Detection with Deep Ensemble Learning. In: (Proceedings of the) Medical Informatics Europe (MIE), May, 25-28, 2026, Genova, Italy, pp. 77-81, Paper / Research Article. (Studies in Health Technology and Informatics; 336). ISBN 9781643686615
Spiess, Ellena and Müller, Dominik and Dinser, Moritz and Herbort, Volker and Liesche-Starnecker, Friederike and Schobel, Johannes and Hieber, Daniel (2025) Automatic Segmentation of Histopathological Glioblastoma Whole-Slide Images Utilizing MONAI. In: (Proceedings of the) 35th Medical Informatics Europe Conference (MIE), May, 19-21, 2025, Glasgow, Scotland, UK, pp. 88-92. (Studies in Health Technology and Informatics; 327). ISBN 9781643685960
Hieber, Daniel and Liesche-Starnecker, Friederike and Schobel, Johannes and Pryss, Rüdiger and Kramer, Frank and Müller, Dominik (2025) Classifying the AMi-Br mitotic figure dataset with AUCMEDI. In: (Proceedings of the) 70th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology, 7.-11. September 2025, Jena, Germany, pp. 339-345, Paper / Research Article. (Studies in Health Technology and Informatics; 331). ISBN 9781643686158
Hieber, Daniel and Dege, Tassilo and Borst, Vanessa and Liesche-Starnecker, Friederike and Schobel, Johannes and Pryss, Rüdiger and Glatzel, Caroline and Kramer, Frank and Schmieder, Astrid and Müller, Dominik (2025) Computational Dermatology – an Automatic System for Visually Classifying Rare Wound Diseases. In: 70. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V., 7.-11. September 2025, Jena, Germany, Paper / DocAbstr. 136.
Hieber, Daniel and Müller, Dominik and Spiess, Ellena and Holl, Felix and Liesche-Starnecker, Friederike and Pryss, Rüdiger and Schobel, Johannes (2025) Does size and colour matter in computational pathology? First results. In: (Abstracts of the) 37th European Congress of Pathology "Tradition meets Future", September, 6-10, 2025, Vienna, Austria, Paper / Abstract E--PS-08-041. (Virchows Archiv).
Müller, Dominik and Meyer, Philip and Rentschler, Lukas and Manz, Robin and Hieber, Daniel and Bäcker, Jonas and Cramer, Samantha and Wengenmayr, Christoph and Märkl, Bruno and Huss, Ralf and Kramer, Frank and Soto-Rey, Inaki and Raffler, Johannes (2024) Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. In: (Proceedings of the) Medical Informatics Europe Conference (MIE), September, 25-29, 2024, Athens, Greece, pp. 1110-1114. (Studies in Health Technology and Informatics; 316). ISBN 9781643685335
Müller, Dominik (2026) Employer Branding im Wandel: Anforderungen der Generation Z an das Führungsverhalten und dessen Einfluss auf die Mitarbeiterbindung im Kontext des Fachkräftemangels. Bachelor thesis, Hochschule Neu-Ulm.