Automated Analysis of the Heterogeneity of Histological Glioblastoma Slides Using Neural Networks. - Michael Oertl; Georg Prokop; Felix Holl; Marina Fotteler; Viktoria Muehlbauer; Walter Swoboda; Friederike Liesche-Starnecker (MIE, 2020)

Quantifying Heterogeneity in Tumors: Proposing a New Method Utilizing Convolutional Neuronal Networks. - Georg Prokop; Michael Örtl; Marina Fotteler; Peter J. Schüffler; Johannes Schobel; Walter Swoboda; Jürgen Schlegel; Friederike Liesche-Starnecker (ICIMTH, 2021)

Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset. - Daniel Hieber; Georg Prokop; Maximilian Karthan; Felix Holl; Hans A. Kestler; Gregor Grambow; Bruno Märkl; Rüdiger Pryss; Friederike Liesche-Starnecker; Johannes Schobel (CBMS, 2023)

Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation. - Daniel Hieber; Nico Haisch; Gregor Grambow; Felix Holl; Friederike Liesche-Starnecker; Rüdiger Pryss; Jürgen Schlegel; Johannes Schobel (MIE, 2024)

Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies. - Vinzent Bücheler; Daniel Hieber; Maximilian Karthan; Nicola Jungbäck; Moritz Dinser; Christofer Pohl; Rüdiger Pryss; Friederike Liesche-Starnecker; Johannes Schobel (CBMS, 2025)