Appearance-based necrosis detection using textural features and SVM with discriminative thresholding in histopathological whole slide images. - Harshita Sharma; Norman Zerbe; Iris Klempert; Sebastian Lohmann; Björn Lindequist; Olaf Hellwich; Peter Hufnagl (BIBE, 2015)

A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images. - Harshita Sharma; Norman Zerbe; Daniel Heim; Stephan Wienert; Hans-Michael Behrens; Olaf Hellwich; Peter Hufnagl (VISAPP (3), 2015)

Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology. - Harshita Sharma; Norman Zerbe; Daniel Heim; Stephan Wienert; Sebastian Lohmann; Olaf Hellwich; Peter Hufnagl (Digital Pathology, 2016)

A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images. - Harshita Sharma; Norman Zerbe; Christine Boger; Stephan Wienert; Olaf Hellwich; Peter Hufnagl (CBMS, 2017)

Proof-of-Concept Integration of Heterogeneous Biobank IT Infrastructures into a Hybrid Biobanking Network. - Sebastian Mate; Dennis Kadioglu; Raphael W. Majeed; Mark R. Stöhr; Michael Folz; Patric Vormstein; Holger Storf; Daniel P. Brucker; Dietmar Keune; Norman Zerbe; Michael Hummel; Karsten Senghas; et al. (GMDS, 2017)

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology. - Harshita Sharma; Norman Zerbe; Iris Klempert; Olaf Hellwich; Peter Hufnagl (Comput. Medical Imaging Graph., 2017)

OBDEX - Open Block Data Exchange System. - Björn Lindequist; Norman Zerbe; Peter Hufnagl (AI and ML for Digital Pathology, 2020)

Assessment and Comparison of Colour Fidelity of Whole Slide Imaging Scanners. - Norman Zerbe; Alexander Alekseychuk; Peter Hufnagl (AI and ML for Digital Pathology, 2020)

Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets. - Norman Zerbe; Christopher Hampf; Peter Hufnagl (AI and ML for Digital Pathology, 2020)

The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures. - Christoph Jansen; Klaus Strohmenger; Daniel Romberg; Tobias Küster; Nick Weiss; Björn Lindequist; Michael Franz; André Homeyer; Norman Zerbe (CCGRID, 2022)

EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology. - Daniel Romberg; Klaus Strohmenger; Christoph Jansen; Tobias Küster; Nick Weiss; Christian Geißler; Tomasz Soltysinski; Michael Takla; Peter Hufnagl; Norman Zerbe; André Homeyer (Comput. Methods Programs Biomed., 2022)

Recommendations on test datasets for evaluating AI solutions in pathology. - André Homeyer; Christian Geißler; Lars Ole Schwen; Falk Zakrzewski; Theodore Evans; Klaus Strohmenger; Max Westphal; Roman David Bülow; Michaela Kargl; Aray Karjauv; Isidre Munné-Bertran; Carl Orge Retzlaff; et al. (CoRR, 2022)

Anonymization of Whole Slide Images in Histopathology for Research and Education. - Tom Bisson; Michael Franz; Isil Dogan O; Daniel Romberg; Christoph Jansen; Peter Hufnagl; Norman Zerbe (CoRR, 2022)

The explainability paradox: Challenges for xAI in digital pathology. - Theodore Evans; Carl Orge Retzlaff; Christian Geißler; Michaela Kargl; Markus Plass; Heimo Müller; Tim-Rasmus Kiehl; Norman Zerbe; Andreas Holzinger (Future Gener. Comput. Syst., 2022)

Digitization of Pathology Labs: A Review of Lessons Learned. - Lars Ole Schwen; Tim-Rasmus Kiehl; Rita Carvalho; Norman Zerbe; André Homeyer (CoRR, 2023)

The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures. - Christoph Jansen; Björn Lindequist; Klaus Strohmenger; Daniel Romberg; Tobias Küster; Nick Weiss; Michael Franz; Lars Ole Schwen; Theodore Evans; André Homeyer; Norman Zerbe (Future Gener. Comput. Syst., 2023)

PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients. - Tingyan Xu; Timo Wolters; Johannes Lotz 002; Tom Bisson; Tim-Rasmus Kiehl; Nadine Flinner; Norman Zerbe; Marco Eichelberg (EFMI-STC, 2024)

Quality Assessment for Secondary Use of Imaging Trials. - Felix Balzer; Maria Bosserdt; Marc Dewey; Bernhard Föllmer; Heiko Tzschätzsch; Norman Zerbe; Dagmar Krefting (MIE, 2024)

Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative. - Norman Zerbe; Lars Ole Schwen; Christian Geißler; Katja Wiesemann; Tom Bisson; Peter Boor; Rita Carvalho; Michael Franz; Christoph Jansen; Tim-Rasmus Kiehl; Björn Lindequist; Nora Charlotte Pohlan; et al. (CoRR, 2024)

Volumetric Reconstruction of Prostatectomy Specimens from Histology. - Tom Bisson; Isil Dogan O; Iris Piwonski; Tim-Rasmus Kiehl; Georg Lukas Baumgärtner; Rita Carvalho; Peter Hufnagl; Tobias Penzkofer; Norman Zerbe; Sefer Elezkurtaj (CoRR, 2024)

A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology. - Tom Bisson; Michael Franz; Tim-Rasmus Kiehl; Peter Boor; Peter Hufnagl; Norman Zerbe (Health Inf. Sci. Syst., 2025)