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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
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 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: Digital Health and Informatics Innovations for Sustainable Health Care Systems : Proceedings of MIE 2024 / Mantas, J. et al. (Eds). Amsterdam u.a.: IOS Press, pp. 606-610. (Studies in Health Technology and Informatics; 316). ISBN 9781643685335