Directionality assessment of adaptive binaural beamforming with noise suppression in hearing aids. - Marc Aubreville; Stefan Petrausch (ICASSP, 2015)

A Guided Spatial Transformer Network for Histology Cell Differentiation. - Marc Aubreville; Maximilian Krappmann; Christof Bertram; Robert Klopfleisch; Andreas K. Maier (VCBM, 2017)

Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. - Marc Aubreville; Christian Knipfer; Nicolai Oetter; Christian Jaremenko; Erik Rodner; Joachim Denzler; Christopher Bohr; Helmut Neumann; Florian Stelzle; Andreas K. Maier (CoRR, 2017)

SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images. - Marc Aubreville; Christof Bertram; Robert Klopfleisch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Classification of Mitotic Cells - Potentials Beyond the Limits of Small Data Sets. - Maximilian Krappmann; Marc Aubreville; Andreas K. Maier; Christof Bertram; Robert Klopfleisch (Bildverarbeitung für die Medizin, 2018)

Classification of Polyethylene Particles and the Local CD3+ Lymphocytosis in Histological Slices. - Lara-Maria Steffes; Marc Aubreville; Stefan Sesselmann; Veit Krenn; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Motion Artifact Detection in Confocal Laser Endomicroscopy Images. - Maike P. Stoeve; Marc Aubreville; Nicolai Oetter; Christian Knipfer; Helmut Neumann; Florian Stelzle; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment. - Marc Aubreville; Miguel Goncalves; Christian Knipfer; Nicolai Oetter; Tobias Würfl; Helmut Neumann; Florian Stelzle; Christopher Bohr; Andreas K. Maier (BIOIMAGING, 2018)

Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. - Marc Aubreville; Miguel Goncalves; Christian Knipfer; Nicolai Oetter; Tobias Würfl; Helmut Neumann; Florian Stelzle; Christopher Bohr; Andreas K. Maier (BIOSTEC (Selected Papers), 2018)

Deep Denoising for Hearing Aid Applications. - Marc Aubreville; Kai Ehrensperger; Andreas K. Maier; Tobias Rosenkranz; Benjamin Graf; Henning Puder (IWAENC, 2018)

Microscopy. - Firas Mualla; Marc Aubreville; Andreas K. Maier (Medical Imaging Systems, 2018)

Augmented Mitotic Cell Count Using Field of Interest Proposal. - Marc Aubreville; Christof A. Bertram; Robert Klopfleisch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks. - Marc Aubreville; Christof A. Bertram; Robert Klopfleisch; Andreas Maier 001 (BIOIMAGING, 2019)

Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images. - Marc Aubreville; Maike P. Stoeve; Nicolai Oetter; Miguel Goncalves; Christian Knipfer; Helmut Neumann; Christopher Bohr; Florian Stelzle; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2019)

Field of Interest Prediction for Computer-Aided Mitotic Count. - Marc Aubreville; Christof A. Bertram; Christian Marzahl; Corinne Gurtner; Martina Dettwiler; Anja Schmidt; Florian Bartenschlager; Sophie Merz; Marco Fragoso; Olivia Kershaw; Robert Klopfleisch; Andreas Maier 001 (CoRR, 2019)

Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. - Marc Aubreville; Miguel Goncalves; Christian Knipfer; Nicolai Oetter; Helmut Neumann; Florian Stelzle; Christopher Bohr; Andreas K. Maier (CoRR, 2019)

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. - Christian Marzahl; Marc Aubreville; Christof A. Bertram; Jason Stayt; Anne-Katherine Jasensky; Florian Bartenschlager; Marco Fragoso-Garcia; Ann K. Barton; Svenja Elsemann; Samir Jabari; Jens Krauth; Prathmesh Madhu; et al. (CoRR, 2019)

Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. - Marc Aubreville; Christof A. Bertram; Samir Jabari; Christian Marzahl; Robert Klopfleisch; Andreas K. Maier (CoRR, 2019)

Fooling the Crowd with Deep Learning-based Methods. - Christian Marzahl; Marc Aubreville; Christof A. Bertram; Stefan Gerlach; Jennifer Maier; Jörn Voigt; Jenny Hill; Robert Klopfleisch; Andreas K. Maier (CoRR, 2019)

Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. - Marc Aubreville; Christof A. Bertram; Samir Jabari; Christian Marzahl; Robert Klopfleisch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Abstract: How Big is Big Enough? - Christof A. Bertram; Marc Aubreville; Christian Marzahl; Andreas K. Maier; Robert Klopfleisch (Bildverarbeitung für die Medizin, 2020)

Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides? - Christian Marzahl; Marc Aubreville; Christof A. Bertram; Stefan Gerlach; Jennifer Maier; Jörn Voigt; Jenny Hill; Robert Klopfleisch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

CLCNET: Deep Learning-Based Noise Reduction for Hearing aids using Complex Linear Coding. - Hendrik Schröter; Tobias Rosenkranz; Alberto N. Escalante-B.; Marc Aubreville; Andreas K. Maier (ICASSP, 2020)

Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels. - Christof A. Bertram; Mitko Veta; Christian Marzahl; Nikolas Stathonikos; Andreas K. Maier; Robert Klopfleisch; Marc Aubreville (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides. - Christian Marzahl; Christof A. Bertram; Marc Aubreville; Anne Petrick; Kristina Weiler; Agnes C. Gläsel; Marco Fragoso; Sophie Merz; Florian Bartenschlager; Judith Hoppe; Alina Langenhagen; Anne-Katherine Jasensky; et al. (MICCAI (1), 2020)

EXACT: A collaboration toolset for algorithm-aided annotation of almost everything. - Christian Marzahl; Marc Aubreville; Christof A. Bertram; Jennifer Maier; Christian Bergler; Christine Kröger; Jörn Voigt; Robert Klopfleisch; Andreas K. Maier (CoRR, 2020)

Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset. - Marc Aubreville; Christof A. Bertram; Taryn A. Donovan; Christian Marzahl; Andreas Maier 001; Robert Klopfleisch (CoRR, 2020)

How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment. - Frauke Wilm; Christof A. Bertram; Christian Marzahl; Alexander Bartel; Taryn A. Donovan; Charles-Antoine Assenmacher; Kathrin Becker; Mark Bennett; Sarah Corner; Brieuc Cossic; Daniela Denk; Martina Dettwiler; et al. (CoRR, 2020)

Computergestützte Tumordiagnose von Mikroskopiebildern (Computer-Aided Tumor Diagnosis of Microscopy Images) - Marc Aubreville (2020)

Abstract: A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research. - Marc Aubreville; Christof A. Bertram; Taryn A. Donovan; Christian Marzahl; Andreas Maier 001; Robert Klopfleisch (Bildverarbeitung für die Medizin, 2021)

Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region. - Marc Aubreville; Christof A. Bertram; Christian Marzahl; Corinne Gurtner; Martina Dettwiler; Anja Schmidt; Florian Bartenschlager; Sophie Merz; Marco Fragoso; Olivia Kershaw; Robert Klopfleisch; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. - Christof A. Bertram; Taryn A. Donovan; Marco Tecilla; Florian Bartenschlager; Marco Fragoso; Frauke Wilm; Christian Marzahl; Katharina Breininger; Andreas Maier 001; Robert Klopfleisch; Marc Aubreville (Bildverarbeitung für die Medizin, 2021)

Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides. - Christian Marzahl; Marc Aubreville; Christof A. Bertram; Jason Stayt; Anne-Katherine Jasensky; Florian Bartenschlager; Marco Fragoso; Ann K. Barton; Svenja Elsemann; Samir Jabari; Jens Krauth; Prathmesh Madhu; et al. (Bildverarbeitung für die Medizin, 2021)

Abstract: Are Fast Labeling Methods Reliable? - A Case Study of Computer-aided Expert Annotations on Microscopy Slides. - Christian Marzahl; Christof A. Bertram; Marc Aubreville; Anne Petrick; Kristina Weiler; Agnes C. Gläsel; Marco Fragoso; Sophie Merz; Florian Bartenschlager; Judith Hoppe; Alina Langenhagen; Anne-Katherine Jasensky; et al. (Bildverarbeitung für die Medizin, 2021)

Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT. - Christian Marzahl; Christof A. Bertram; Frauke Wilm; Jörn Voigt; Ann K. Barton; Robert Klopfleisch; Katharina Breininger; Andreas Maier 001; Marc Aubreville (Bildverarbeitung für die Medizin, 2021)

Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. - Frauke Wilm; Christof A. Bertram; Christian Marzahl; Alexander Bartel; Taryn A. Donovan; Charles-Antoine Assenmacher; Kathrin Becker; Mark Bennett; Sarah Corner; Brieuc Cossic; Daniela Denk; Martina Dettwiler; et al. (Bildverarbeitung für die Medizin, 2021)

Automatic and explainable grading of meningiomas from histopathology images. - Jonathan Ganz; Tobias Kirsch; Lucas Hoffmann; Christof A. Bertram; Christoph Hoffmann; Andreas K. Maier; Katharina Breininger; Ingmar Blümcke; Samir Jabari; Marc Aubreville (COMPAY@MICCAI, 2021)

Robust Quad-Tree based Registration on Whole Slide Images. - Christian Marzahl; Frauke Wilm; Franz F. Dressler; Lars Tharun; Sven Perner; Christof A. Bertram; Christine Kröger; Jörn Voigt; Robert Klopfleisch; Andreas K. Maier; Marc Aubreville; Katharina Breininger (COMPAY@MICCAI, 2021)

Iterative Cross-Scanner Registration for Whole Slide Images. - Luisa Theelke; Frauke Wilm; Christian Marzahl; Christof A. Bertram; Robert Klopfleisch; Andreas Maier 001; Marc Aubreville; Katharina Breininger (ICCVW, 2021)

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. - Frauke Wilm; Christian Marzahl; Katharina Breininger; Marc Aubreville (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images. - Christian Marzahl; Christof A. Bertram; Frauke Wilm; Jörn Voigt; Ann K. Barton; Robert Klopfleisch; Katharina Breininger; Andreas Maier 001; Marc Aubreville (CoRR, 2021)

Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. - Marc Aubreville; Christof Bertram; Mitko Veta; Robert Klopfleisch; Nikolas Stathonikos; Katharina Breininger; Natalie D. ter Hoeve; Francesco Ciompi; Andreas Maier 001 (CoRR, 2021)

Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens. - Christian Marzahl; Jenny Hill; Jason Stayt; Dorothee Bienzle; Lutz Welker; Frauke Wilm; Jörn Voigt; Marc Aubreville; Andreas K. Maier; Robert Klopfleisch; Katharina Breininger; Christof A. Bertram (CoRR, 2021)

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge. - Frauke Wilm; Katharina Breininger; Marc Aubreville (CoRR, 2021)

Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. - Jonas Ammeling; Frauke Wilm; Jonathan Ganz; Katharina Breininger; Marc Aubreville (MIDOG/DRAC@MICCAI, 2022)

Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset. - Frauke Wilm; Marco Fragoso; Christian Marzahl; Jingna Qiu; Christof A. Bertram; Robert Klopfleisch; Andreas K. Maier; Katharina Breininger; Marc Aubreville (CoRR, 2022)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (CoRR, 2022)

Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces. - Dominic Rampas; Pablo Pernias; Elea Zhong; Marc Aubreville (CoRR, 2022)

Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. - Jonas Ammeling; Lars-Henning Schmidt; Jonathan Ganz; Tanja Niedermair; Christoph Brochhausen-Delius; Christian Schulz 015; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2023)

Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. - Marc Aubreville; Jonathan Ganz; Jonas Ammeling; Taryn A. Donovan; Rutger H. J. Fick; Katharina Breininger; Christof A. Bertram (Bildverarbeitung für die Medizin, 2023)

Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Mitko Veta; Katharina Breininger (Bildverarbeitung für die Medizin, 2023)

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. - Jonathan Ganz; Karoline Lipnik; Jonas Ammeling; Barbara Richter; Chloé Puget; Eda Parlak; Laura Diehl; Robert Klopfleisch; Taryn A. Donovan; Matti Kiupel; Christof A. Bertram; Katharina Breininger; et al. (Bildverarbeitung für die Medizin, 2023)

Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation. - Ludwig Maximilian Lausser; Christof A. Bertram; Robert Klopfleisch; Marc Aubreville (Bildverarbeitung für die Medizin, 2023)

Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. - Frauke Wilm; Marco Fragoso; Christof A. Bertram; Nikolas Stathonikos; Mathias Öttl; Jingna Qiu; Robert Klopfleisch; Andreas K. Maier; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2023)

Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. - Frauke Wilm; Marco Fragoso; Christian Marzahl; Jingna Qiu; Chloé Puget; Laura Diehl; Christof A. Bertram; Robert Klopfleisch; Andreas K. Maier; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2023)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. - Frauke Wilm; Marco Fragoso; Christof A. Bertram; Nikolas Stathonikos; Mathias Öttl; Jingna Qiu; Robert Klopfleisch; Andreas Maier 001; Marc Aubreville; Katharina Breininger (ISBI, 2023)

Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. - Jonas Ammeling; Carina Manger; Elias Kwaka; Sebastian Krügel; Matthias Uhl; Angelika Kießig; Alexis Fritz; Jonathan Ganz; Andreas Riener; Christof A. Bertram; Katharina Breininger; Marc Aubreville (MuC, 2023)

Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. - Jingna Qiu; Frauke Wilm; Mathias Öttl; Maja Schlereth; Chang Liu; Tobias Heimann; Marc Aubreville; Katharina Breininger (MICCAI (2), 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

Wuerstchen: Efficient Pretraining of Text-to-Image Models. - Pablo Pernias; Dominic Rampas; Marc Aubreville (CoRR, 2023)

Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors. - Andreas Haghofer; Eda Parlak; Alexander Bartel; Taryn A. Donovan; Charles-Antoine Assenmacher; Pompei Bolfa; Michael J. Dark; Andrea Fuchs-Baumgartinger; Andrea Klang; Kathrin Jäger; Robert Klopfleisch; Sophie Merz; et al. (CoRR, 2023)

Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard. - Jonas Ammeling; Moritz Hecker; Jonathan Ganz; Taryn A. Donovan; Christof A. Bertram; Katharina Breininger; Marc Aubreville (CoRR, 2023)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (Medical Image Anal., 2023)

Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. - Frauke Wilm; Marco Fragoso; Christof A. Bertram; Nikolas Stathonikos; Robert Klopfleisch; Andreas Maier 001; Katharina Breininger; Marc Aubreville (Zenodo, 2023)

Pan-Tumor T-Lymphocyte Detection Dataset. - Frauke Wilm; Christian Ihling; Gabor Mehes; Luigi Terracciano; Chloé Puget; Robert Klopfleisch; Peter J. Schüffler; Marc Aubreville; Andreas Maier 001; Thomas Mrowiec; Katharina Breininger (Zenodo, 2023)

Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry. - Jonas Ammeling; Moritz Hecker; Jonathan Ganz; Taryn A. Donovan; Robert Klopfleisch; Christof A. Bertram; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2024)

Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. - Marc Aubreville; Zhaoya Pan; Matti Sievert; Jonas Ammeling; Jonathan Ganz; Nicolai Oetter; Florian Stelzle; Ann-Kathrin Frenken; Katharina Breininger; Miguel Goncalves (Bildverarbeitung für die Medizin, 2024)

Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection. - Marc Aubreville; Frauke Wilm; Nikolas Stathonikos; Katharina Breininger; Taryn A. Donovan; Samir Jabari; Robert Klopfleisch; Mitko Veta; Jonathan Ganz; Jonas Ammeling; Paul J. van Diest; Christof A. Bertram (Bildverarbeitung für die Medizin, 2024)

Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning. - Christof A. Bertram; Christian Marzahl; Alexander Bartel; Jason Stayt; Federico Bonsembiante; Janet Beeler-Marfisi; Ann K. Barton; Ginevra Brocca; Maria E. Gelain; Agnes C. Gläsel; Kelly du Preez; Kristina Weiler; et al. (Bildverarbeitung für die Medizin, 2024)

Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning. - Jonathan Ganz; Chloé Puget; Jonas Ammeling; Eda Parlak; Matti Kiupel; Christof A. Bertram; Katharina Breininger; Robert Klopfleisch; Marc Aubreville (Bildverarbeitung für die Medizin, 2024)

Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. - Jingna Qiu; Frauke Wilm; Mathias Öttl; Maja Schlereth; Chang Liu; Tobias Heimann; Marc Aubreville; Katharina Breininger (Bildverarbeitung für die Medizin, 2024)

Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models. - Pablo Pernias; Dominic Rampas; Mats L. Richter; Christopher Pal; Marc Aubreville (ICLR, 2024)

Leveraging Image Captions for Selective Whole Slide Image Annotation. - Jingna Qiu; Marc Aubreville; Frauke Wilm; Mathias Öttl; Jonas Utz; Maja Schlereth; Katharina Breininger (MICCAI (12), 2024)

Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping. - Rutger R. H. Fick; Christof Bertram; Marc Aubreville (MIDL, 2024)

Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides. - Chloé Puget; Jonathan Ganz; Julian Ostermaier; Thomas Konrad; Eda Parlak; Christof Albert Bertram; Matti Kiupel; Katharina Breininger; Marc Aubreville; Robert Klopfleisch (CoRR, 2024)

Rethinking U-net Skip Connections for Biomedical Image Segmentation. - Frauke Wilm; Jonas Ammeling; Mathias Öttl; Rutger H. J. Fick; Marc Aubreville; Katharina Breininger (CoRR, 2024)

Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis. - Marc Aubreville; Jonathan Ganz; Jonas Ammeling; Christopher C. Kaltenecker; Christof A. Bertram (CoRR, 2024)

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images. - Jonathan Ganz; Christian Marzahl; Jonas Ammeling; Barbara Richter; Chloé Puget; Daniela Denk; Elena A. Demeter; Flaviu A. Tabaran; Gabriel Wasinger; Karoline Lipnik; Marco Tecilla; Matthew J. Valentine; et al. (CoRR, 2024)

Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation. - Frauke Wilm; Mathias Öttl; Marc Aubreville; Katharina Breininger (CoRR, 2024)

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. - Marc Aubreville; Nikolas Stathonikos; Taryn A. Donovan; Robert Klopfleisch; Jonas Ammeling; Jonathan Ganz; Frauke Wilm; Mitko Veta; Samir Jabari; Markus Eckstein; Jonas Annuscheit; Christian Krumnow; et al. (Medical Image Anal., 2024)

Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma. - Sweta Banerjee; Christof A. Bertram; Jonas Ammeling; Viktoria Weiss; Thomas Conrad; Robert Klopfleisch; Christopher C. Kaltenecker; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br). - Christof A. Bertram; Viktoria Weiss; Taryn A. Donovan; Sweta Banerjee; Thomas Conrad; Jonas Ammeling; Robert Klopfleisch; Christopher C. Kaltenecker; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Abstract: Re-identification from Histopathology Images. - Jonathan Ganz; Jonas Ammeling; Samir Jabari; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Is Self-supervision Enough? - Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification. - Jonathan Ganz; Jonas Ammeling; Emely Rosbach; Ludwig Lausser; Christof A. Bertram; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Abstract: Information Mismatch in PHH3-assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis. - Jonathan Ganz; Christian Marzahl; Jonas Ammeling; Emely Rosbach; Taryn A. Donovan; Samir Jabari; Christof A. Bertram; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Abstract: Nuclear Pleomorphism in Canine Cutaneous Mast Cell Tumors. - Andreas Haghofer; Eda Parlak; Alexander Bartel; Taryn A. Donovan; Charles-Antoine Assenmacher; Pompei Bolfa; Michael J. Dark; Andrea Fuchs-Baumgartinger; Andrea Klang; Kathrin Jäger; Robert Klopfleisch; Sophie Merz; et al. (Bildverarbeitung für die Medizin, 2025)

Abstract: Würstchen - An Efficient Architecture for Large-scale Text-to-image Diffusion Models. - Pablo Pernias; Dominic Rampas; Mats L. Richter; Christopher J. Pal; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation. - Jingna Qiu; Marc Aubreville; Frauke Wilm; Mathias Öttl; Jonas Utz; Maja Schlereth; Katharina Breininger (Bildverarbeitung für die Medizin, 2025)

Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology. - Emely Rosbach; Jonathan Ganz; Jonas Ammeling; Andreas Riener; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. - Emely Rosbach; Jonas Ammeling; Sebastian Krügel; Angelika Kießig; Alexis Fritz; Jonathan Ganz; Chloé Puget; Taryn A. Donovan; Andrea Klang; Maximilian C. Köller; Pompei Bolfa; Marco Tecilla; et al. (CHI, 2025)

Re-identification from histopathology images. - Jonathan Ganz; Jonas Ammeling; Samir Jabari; Katharina Breininger; Marc Aubreville (Medical Image Anal., 2025)

Perceived responsibility in AI-supported medicine. - Sebastian Krügel; Jonas Ammeling; Marc Aubreville; Alexis Fritz; Angelika Kießig; Matthias Uhl (AI Soc., 2025)

Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation. - Sweta Banerjee; Viktoria Weiss; Taryn A. Donovan; Rutger A. Fick; Thomas Conrad; Jonas Ammeling; Nils Porsche; Robert Klopfleisch; Christopher C. Kaltenecker; Katharina Breininger; Marc Aubreville; Christof A. Bertram (CoRR, 2025)

Benchmarking Foundation Models for Mitotic Figure Classification. - Jonas Ammeling; Jonathan Ganz; Emely Rosbach; Ludwig Lausser; Christof A. Bertram; Katharina Breininger; Marc Aubreville (CoRR, 2025)

Effortless Vision-Language Model Specialization in Histopathology without Annotation. - Jingna Qiu; Nishanth Jain; Jonas Ammeling; Marc Aubreville; Katharina Breininger (CoRR, 2025)

Investigation of Class Separability Within Object Detection Models in Histopathology. - Jonas Ammeling; Jonathan Ganz; Frauke Wilm; Katharina Breininger; Marc Aubreville (IEEE Trans. Medical Imaging, 2025)