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Prokop, Georg and Wiestler, Benedikt and Hieber, Daniel and Withake, Fynn and Mayer, Karoline and Gempt, Jens and Delbridge, Claire and Schmidt-Graf, Friederike and Pfarr, Nicole and Märkl, Bruno and Schlegel, Jürgen and Liesche-Starnecker, Friederike (2023) Multiscale quantification of morphological heterogeneity with creation of a predictor of longer survival in glioblastoma. International Journal of Cancer. ISSN 1097-0215
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
Hieber, Daniel and Jungbäck, Nicola and Holl, Felix and Märkl, Bruno and Pryss, Rüdiger and Schobel, Johannes and Liesche-Starnecker, Friederike (2024) Using Eye-Tracking to find Differences in the Analysis ofWhole-Slide Images Between Physicians and Machine Learning Models –A Study Design. In: (Meeting Abstracts of the) 68th Annual Meeting of the German Society of Neuropathology and Neuroanatomy (DGNN), 12.-14. September 2024, Regensburg, Germany, p. 45.
Hieber, Daniel and Jungbäck, Nicola and Holl, Felix and Märkl, Bruno and Pryss, Rüdiger and Schobel, Johannes and Liesche-Starnecker, Friederike (2024) Why We Don’t Save Whole-Slide Images as Lego Mosaics –Putting the Scale of Whole-Slide Images into Perspective. In: (Meeting Abstracts of the) 68th Annual Meeting of the German Society of Neuropathology and Neuroanatomy (DGNN), 12.-14. September 2024, Regensburg, Germany, p. 46.
Hieber, Daniel and Karthan, Maximilian and Holl, Felix and Prokop, Georg and Märkl, Bruno and Pryss, Rüdiger and Liesche-Starnecker, Friederike and Schobel, Johannes (2023) Evaluating the Segment Anything Model for Histopathological Tissue Segmentation. In: 68. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 17.-21. September 2023, Heilbronn, Germany, DocAbstr. 159.
Hieber, Daniel and Prokop, Georg and Karthan, Maximilian and Märkl, Bruno and Schlegel, J. and Pryss, Rüdiger and Grambow, Gregor and Schobel, Johannes and Liesche-Starnecker, Friederike (2023) Machine learning-based assessment of intratumor heterogeneity in glioblastoma. In: (Abstracts of the) 20th International Congress of Neuropathology (ICN), September, 13-16, 2023, Berlin, Germany, Abstr. eP-NO-A78.
Hieber, Daniel and Prokop, Georg and Karthan, Maximilian and Märkl, Bruno and Schobel, Johannes and Liesche-Starnecker, Friederike (2023) Neural Network Assisted Pathology for Labeling Tumors in Whole-Slide-Images of Glioblastoma. In: (Abstractband der) 106. Jahrestagung der Deutschen Gesellschaft für Pathologie "Pathology - more than meets the eye", 1.-3. Juni 2023, Leipzig, Germany, p. 218.
Hieber, Daniel and Prokop, Georg and Karthan, Maximilian and Holl, Felix and Kestler, Hans A. and Grambow, Gregor and Märkl, Bruno and Pryss, Rüdiger and Liesche-Starnecker, Friederike and Schobel, Johannes (2023) Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset. In: (Proceedings of the) IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), June, 22-24, 2023, L'Aquila, Italy, pp. 904-909. ISBN 9798350312249