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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
Prokop, Georg and Örtl, Michael and Fotteler, Marina L. and Schüffler, Peter and Schobel, Johannes and Swoboda, Walter and Schlegel, Jürgen and Liesche-Starnecker, Friederike (2022) Quantifying Heterogeneity in Tumors: Proposing a New Method Utilizing Convolutional Neuronal Networks. Studies in health technology and informatics, 289. pp. 397-400. ISSN 0926-9630
Fotteler, Marina L. and Liesche-Starnecker, Friederike and Brielmaier, Maria C. and Schobel, Johannes and Gempt, Jens and Schlegel, Jürgen and Swoboda, Walter (2021) Socio-Organizational Impact of Confocal Laser Endomicroscopy in Neurosurgery and Neuropathology: Results from a Process Analysis and Expert Survey. Diagnostics, 11 (11). ISSN 2075-4418
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).
Bücheler, Vinzent and Hieber, Daniel and Karthan, Maximilian and Jungbäck, Nicola and Dinser, Moritz and Pohl, Christofer and Pryss, Rüdiger and Liesche-Starnecker, Friederike and Schobel, Johannes (2025) Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies. In: (Proceedings of the) IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), June, 18-20, 2025, Madrid, Spain, pp. 951-956.
Dinser, Moritz and Hieber, Daniel and Pryss, Rüdiger and Monoranu, Camelia-Maria and Liesche-Starnecker, Friederike and Schobel, Johannes and Nickl, Vera (2024) Automated Locoregional Antigen Determination as a Prerequisite for CAR T-Cell Therapy Target Selection. In: (Abstractband der) 107. Jahrestagung der Deutschen Gesellschaft für Pathologie (DGPatho) "Next Generation Pathology", 23.-25. Mai 2024, München, Germany, p. 159.
Dinser, Moritz and Hieber, Daniel and Pryss, Rüdiger and Monoranu, Camelia-Maria and Liesche-Starnecker, Friederike and Schobel, Johannes and Nickl, Vera (2024) Automated Locoregional Antigen Determination as a Prerequisite for CAR T-Cell Therapy in Glioblastoma (Automatisierte lokoregionale Antigenbestimmung als Voraussetzung für eine CAR T-Zell Therapie bei Glioblastom). In: Sektionstage der deutschen Gesellschaft für Neurochirurgie (ST Herbst 2024), 19.-21. September 2024, Würzburg, Germany.
Hieber, Daniel and Haisch, Nico and Grambow, Gregor and Holl, Felix and Liesche-Starnecker, Friederike and Pryss, Rüdiger and Schlegel, Jürgen and Schobel, Johannes (2024) Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation. In: (Proceedings of the) Medical Informatics Europe Conference (MIE), September, 25-29, 2024, Athens, Greece, pp. 606-610. (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
Fotteler, Marina and Liesche-Starnecker, Friederike and Würfel, Alexander and Swoboda, Walter and Schlegel, Jürgen (2021) The potential for digitalization of frozen sections - results from a workflow analysis. In: (Proceedings of the) 12th European congress of Neuropathology (ECNP2021), 31.Mai. - 03.Juni 2021, (online).
Fotteler, Marina L. and Liesche-Starnecker, Friederike and Würfel, Alexander and Swoboda, Walter and Schlegel, Jürgen (2020) The potential for digitalization using the example of digital biopsy in neurosurgery – results of a process analysis. In: Joint Conference of the GMDS & CEN-IBS 2020, 06.-11. September 2020, Berlin, Germany (Virtual Event).
Oertl, Michael and Prokop, Georg and Holl, Felix and Fotteler, Marina L. and Muehlbauer, Viktoria and Swoboda, Walter and Liesche-Starnecker, Friederike (2020) Automated Analysis of the Heterogeneity of Histological Glioblastoma Slides Using Neural Networks. In: (Proceedings of the) 18th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), July 3-5, 2020, Athens, Greece (virtuell), pp. 1207-1208.
Hieber, Daniel and Holl, Felix and Nickl, Vera and Liesche-Starnecker, Friederike and Schobel, Johannes (2024) Perspective Chapter: Computer Vision-Based Digital Pathology for Central Nervous System Tumors – State-of-the-Art and Current Advances. In: Advanced Concepts and Strategies in Central Nervous System Tumors / Chow, Frances ; Hwang, Lindsay (Eds). London: IntechOpen. ISBN 9780850148084