Norman Zerbe

23 papers B 2C 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology.
Artif. Intell. Medicine
Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul R. Torke, Michaela Kargl, Heimo Müller, Tomás Brázdil, Matej Gallo, Jaroslav Kubín, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub
2025 J jnl
A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology.
Health Inf. Sci. Syst.
Tom Bisson, Michael Franz, Tim-Rasmus Kiehl, Peter Boor, Peter Hufnagl, Norman Zerbe
2025 J jnl
Standardized Multi-Layer Tissue Maps for Enhanced Artificial Intelligence Integration and Search in Large-Scale Whole Slide Image Archives.
CoRR
Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul R. Torke, Michaela Kargl, Heimo Müller, Tomás Brázdil, Matej Gallo, Jaroslav Kubín, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub
2024 J jnl
Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative.
CoRR
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, Sarah Schmell, Klaus Strohmenger, Falk Zakrzewski, Markus Plass, Michael Takla, Tobias Küster, André Homeyer, Peter Hufnagl
2024 — conf
PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients.
EFMI-STC
Tingyan Xu, Timo Wolters, Johannes Lotz, Tom Bisson, Tim-Rasmus Kiehl, Nadine Flinner, Norman Zerbe, Marco Eichelberg
2024 — conf
Quality Assessment for Secondary Use of Imaging Trials.
MIE
Felix Balzer, Maria Bosserdt, Marc Dewey, Bernhard Föllmer, Heiko Tzschätzsch, Norman Zerbe, Dagmar Krefting
2024 J jnl
Volumetric Reconstruction of Prostatectomy Specimens from Histology.
CoRR
Tom Bisson, Isil Dogan O, Iris Piwonski, Tim-Rasmus Kiehl, Georg Lukas Baumgärtner, Rita Carvalho, Peter Hufnagl, Tobias Penzkofer, Norman Zerbe, Sefer Elezkurtaj
2023 J jnl
Digitization of Pathology Labs: A Review of Lessons Learned.
CoRR
Lars Ole Schwen, Tim-Rasmus Kiehl, Rita Carvalho, Norman Zerbe, André Homeyer
2023 J jnl
The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures.
Future Gener. Comput. Syst.
Christoph Jansen, Björn Lindequist, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Michael Franz, Lars Ole Schwen, Theodore Evans, André Homeyer, Norman Zerbe
2022 J jnl
Anonymization of Whole Slide Images in Histopathology for Research and Education.
CoRR
Tom Bisson, Michael Franz, Isil Dogan O, Daniel Romberg, Christoph Jansen, Peter Hufnagl, Norman Zerbe
2022 J jnl
EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology.
Comput. Methods Programs Biomed.
Daniel Romberg, Klaus Strohmenger, Christoph Jansen, Tobias Küster, Nick Weiss, Christian Geißler, Tomasz Soltysinski, Michael Takla, Peter Hufnagl, Norman Zerbe, André Homeyer
2022 J jnl
Recommendations on test datasets for evaluating AI solutions in pathology.
CoRR
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, Adrià Romero-López, Tomasz Soltysinski, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe
2022 B conf
The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures.
CCGRID
Christoph Jansen, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Björn Lindequist, Michael Franz, André Homeyer, Norman Zerbe
2022 J jnl
The explainability paradox: Challenges for xAI in digital pathology.
Future Gener. Comput. Syst.
Theodore Evans, Carl Orge Retzlaff, Christian Geißler, Michaela Kargl, Markus Plass, Heimo Müller, Tim-Rasmus Kiehl, Norman Zerbe, Andreas Holzinger
2020 — ch.
Assessment and Comparison of Colour Fidelity of Whole Slide Imaging Scanners.
AI and ML for Digital Pathology
Norman Zerbe, Alexander Alekseychuk, Peter Hufnagl
2020 — ch.
Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets.
AI and ML for Digital Pathology
Norman Zerbe, Christopher Hampf, Peter Hufnagl
2020 — ch.
OBDEX - Open Block Data Exchange System.
AI and ML for Digital Pathology
Björn Lindequist, Norman Zerbe, Peter Hufnagl
2017 B conf
A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images.
CBMS
Harshita Sharma, Norman Zerbe, Christine Boger, Stephan Wienert, Olaf Hellwich, Peter Hufnagl
2017 J jnl
Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.
Comput. Medical Imaging Graph.
Harshita Sharma, Norman Zerbe, Iris Klempert, Olaf Hellwich, Peter Hufnagl
2017 — conf
Proof-of-Concept Integration of Heterogeneous Biobank IT Infrastructures into a Hybrid Biobanking Network.
GMDS
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, Hans-Ulrich Prokosch, Martin Lablans
2016 — conf
Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology.
Digital Pathology
Harshita Sharma, Norman Zerbe, Daniel Heim, Stephan Wienert, Sebastian Lohmann, Olaf Hellwich, Peter Hufnagl
2015 — conf
A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images.
VISAPP (3)
Harshita Sharma, Norman Zerbe, Daniel Heim, Stephan Wienert, Hans-Michael Behrens, Olaf Hellwich, Peter Hufnagl
2015 C conf
Appearance-based necrosis detection using textural features and SVM with discriminative thresholding in histopathological whole slide images.
BIBE
Harshita Sharma, Norman Zerbe, Iris Klempert, Sebastian Lohmann, Björn Lindequist, Olaf Hellwich, Peter Hufnagl