Marc Aubreville

135 papers A* 3Misc 3Journal 67Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Abstract: Investigation of Class Separability within Object Detection Models in Histopathology. Bildverarbeitung für die Medizin Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Katharina Breininger, Marc Aubreville
2026	—	`conf`	Abstract: When Two Wrongs Don't Make a Right - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. Bildverarbeitung für die Medizin Emely Rosbach, Jonas Ammeling, Christof A. Bertram, Andreas Riener, Marc Aubreville
2026	—	`conf`	Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN. Bildverarbeitung für die Medizin Sweta Banerjee, Timo Gosch, Sara Hester, Viktoria Weiss, Thomas Conrad, Taryn A. Donovan, Nils Porsche, Jonas Ammeling, Christoph Stroblberger, Robert Klopfleisch, Christopher C. Kaltenecker, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2026	J	`jnl`	Exploring General-Purpose Autonomous Multimodal Agents for Pathology Report Generation. CoRR Marc Aubreville, Taryn A. Donovan, Christof A. Bertram
2026	—	`conf`	Exploring General-purpose Autonomous Multimodal Agents for Pathology Report Generation. Bildverarbeitung für die Medizin Marc Aubreville, Taryn A. Donovan, Christof A. Bertram
2026	—	`conf`	Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning. Bildverarbeitung für die Medizin Nils Porsche, Flurin Müller-Diesing, Sweta Banerjee, Miguel Goncalves, Marc Aubreville
2026	J	`jnl`	Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics. CoRR Christof A. Bertram, Jonas Ammeling, Alexander Bartel, Gillian Beamer, Marc Aubreville
2026	J	`jnl`	Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology. CoRR Emely Rosbach, Jonas Ammeling, Jonathan Ganz, Christof Albert Bertram, Thomas Conrad, Andreas Riener, Marc Aubreville
2025	A*	`conf`	"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. CHI 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, Daniela Denk, Matti Kiupel, Georgios Paraschou, Mun Keong Kok, Alexander F. H. Haake, Ronald R. de Krijger, Andreas F.-P. Sonnen, Tanit Kasantikul, Gerry M. Dorrestein, Rebecca C. Smedley, Nikolas Stathonikos, Matthias Uhl, Christof A. Bertram, Andreas Riener, Marc Aubreville
2025	J	`jnl`	A Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br). CoRR Christof A. Bertram, Viktoria Weiss, Taryn A. Donovan, Sweta Banerjee, Thomas Conrad, Jonas Ammeling, Robert Klopfleisch, Christopher C. Kaltenecker, Marc Aubreville
2025	J	`jnl`	A filtering scheme for confocal laser endomicroscopy (CLE)-video sequences for self-supervised learning. CoRR Nils Porsche, Flurin Müller-Diesing, Sweta Banerjee, Miguel Goncalves, Marc Aubreville
2025	—	`conf`	Abstract: Information Mismatch in PHH3-assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis. Bildverarbeitung für die Medizin Jonathan Ganz, Christian Marzahl, Jonas Ammeling, Emely Rosbach, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025	—	`conf`	Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation. Bildverarbeitung für die Medizin Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2025	—	`conf`	Abstract: Nuclear Pleomorphism in Canine Cutaneous Mast Cell Tumors. Bildverarbeitung für die Medizin 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, Barbara Richter, F. Yvonne Schulman, Hannah Janout, Jonathan Ganz, Josef Scharinger, Marc Aubreville, Stephan M. Winkler, Matti Kiupel, Christof A. Bertram
2025	—	`conf`	Abstract: Re-identification from Histopathology Images. Bildverarbeitung für die Medizin Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville
2025	—	`conf`	Abstract: Würstchen - An Efficient Architecture for Large-scale Text-to-image Diffusion Models. Bildverarbeitung für die Medizin Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal, Marc Aubreville
2025	—	`conf`	Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology. Bildverarbeitung für die Medizin Emely Rosbach, Jonathan Ganz, Jonas Ammeling, Andreas Riener, Marc Aubreville
2025	J	`jnl`	Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation. CoRR 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
2025	J	`jnl`	Benchmarking Foundation Models for Mitotic Figure Classification. CoRR Jonas Ammeling, Jonathan Ganz, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025	—	`conf`	Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma. Bildverarbeitung für die Medizin Sweta Banerjee, Christof A. Bertram, Jonas Ammeling, Viktoria Weiss, Thomas Conrad, Robert Klopfleisch, Christopher C. Kaltenecker, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	Dataset creation for supervised deep learning-based analysis of microscopic images - review of important considerations and recommendations. CoRR Christof A. Bertram, Viktoria Weiss, Jonas Ammeling, F. Maria Schabel, Taryn A. Donovan, Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	Decomposition Sampling for Efficient Region Annotations in Active Learning. CoRR Jingna Qiu, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Moritz Schillinger, Marc Aubreville, Katharina Breininger
2025	J	`jnl`	Effortless Vision-Language Model Specialization in Histopathology without Annotation. CoRR Jingna Qiu, Nishanth Jain, Jonas Ammeling, Marc Aubreville, Katharina Breininger
2025	—	`conf`	Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br). Bildverarbeitung für die Medizin Christof A. Bertram, Viktoria Weiss, Taryn A. Donovan, Sweta Banerjee, Thomas Conrad, Jonas Ammeling, Robert Klopfleisch, Christopher C. Kaltenecker, Marc Aubreville
2025	J	`jnl`	Investigation of Class Separability Within Object Detection Models in Histopathology. IEEE Trans. Medical Imaging Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Katharina Breininger, Marc Aubreville
2025	—	`conf`	Is Self-supervision Enough? - Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification. Bildverarbeitung für die Medizin Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	Perceived responsibility in AI-supported medicine. AI Soc. Sebastian Krügel, Jonas Ammeling, Marc Aubreville, Alexis Fritz, Angelika Kießig, Matthias Uhl
2025	J	`jnl`	Re-identification from histopathology images. Medical Image Anal. Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	SWAN - Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces. CoRR Sweta Banerjee, Timo Gosch, Sara Hester, Viktoria Weiss, Thomas Conrad, Taryn A. Donovan, Nils Porsche, Jonas Ammeling, Christoph Stroblberger, Robert Klopfleisch, Christopher C. Kaltenecker, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024	—	`conf`	Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. Bildverarbeitung für die Medizin Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2024	—	`conf`	Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection. Bildverarbeitung für die Medizin 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
2024	—	`conf`	Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning. Bildverarbeitung für die Medizin 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, Christiane Weissenbacher-Lang, Katharina Breininger, Marc Aubreville, Andreas K. Maier, Robert Klopfleisch, Jenny Hill
2024	—	`conf`	Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning. Bildverarbeitung für die Medizin Jonathan Ganz, Chloé Puget, Jonas Ammeling, Eda Parlak, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Robert Klopfleisch, Marc Aubreville
2024	—	`conf`	Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry. Bildverarbeitung für die Medizin Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Robert Klopfleisch, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024	J	`jnl`	Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology. CoRR Emely Rosbach, Jonathan Ganz, Jonas Ammeling, Andreas Riener, Marc Aubreville
2024	J	`jnl`	Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides. CoRR Chloé Puget, Jonathan Ganz, Julian Ostermaier, Thomas Konrad, Eda Parlak, Christof Albert Bertram, Matti Kiupel, Katharina Breininger, Marc Aubreville, Robert Klopfleisch
2024	J	`jnl`	Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation. CoRR Frauke Wilm, Mathias Öttl, Marc Aubreville, Katharina Breininger
2024	J	`jnl`	Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. 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, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2024	—	`conf`	Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. Bildverarbeitung für die Medizin Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves
2024	—	`conf`	Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping. MIDL Rutger R. H. Fick, Christof Bertram, Marc Aubreville
2024	J	`jnl`	Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification. CoRR Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024	—	`conf`	Leveraging Image Captions for Selective Whole Slide Image Annotation. MICCAI (12) Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2024	J	`jnl`	Leveraging image captions for selective whole slide image annotation. CoRR Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2024	J	`jnl`	Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis. CoRR Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Christopher C. Kaltenecker, Christof A. Bertram
2024	J	`jnl`	On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images. CoRR 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, Michael J. Dark, Niklas Abele, Pompei Bolfa, Ramona Erber, Robert Klopfleisch, Sophie Merz, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024	J	`jnl`	Re-identification from histopathology images. CoRR Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville
2024	J	`jnl`	Rethinking U-net Skip Connections for Biomedical Image Segmentation. CoRR Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger
2024	J	`jnl`	When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. CoRR 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, Daniela Denk, Matti Kiupel, Georgios Paraschou, Mun Keong Kok, Alexander F. H. Haake, Ronald R. de Krijger, Andreas F.-P. Sonnen, Tanit Kasantikul, Gerry M. Dorrestein, Rebecca C. Smedley, Nikolas Stathonikos, Matthias Uhl, Christof A. Bertram, Andreas Riener, Marc Aubreville
2024	A*	`conf`	Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models. ICLR Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher Pal, Marc Aubreville
2023	—	`conf`	Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. Bildverarbeitung für die Medizin Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2023	—	`conf`	Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. Bildverarbeitung für die Medizin 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
2023	—	`conf`	Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. MICCAI (2) Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2023	J	`jnl`	Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. CoRR Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2023	Misc	`conf`	Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. MuC 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
2023	—	`conf`	Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. Bildverarbeitung für die Medizin Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville
2023	J	`jnl`	Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard. CoRR Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2023	—	`conf`	Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. Bildverarbeitung für die Medizin 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, Marc Aubreville
2023	—	`conf`	Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. Bildverarbeitung für die Medizin Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram
2023	J	`jnl`	Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2023	J	`jnl`	Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. CoRR Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves
2023	—	`conf`	Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation. Bildverarbeitung für die Medizin Ludwig Maximilian Lausser, Christof A. Bertram, Robert Klopfleisch, Marc Aubreville
2023	—	`conf`	Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. ISBI Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
2023	—	`ed.`	Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings MIDOG/DRAC@MICCAI Bin Sheng, Marc Aubreville
2023	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 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, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
2023	J	`jnl`	Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. CoRR Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2023	—	`conf`	Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. Bildverarbeitung für die Medizin Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2023	J	`jnl`	Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors. CoRR 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, Barbara Richter, F. Yvonne Schulman, Jonathan Ganz, Josef Scharinger, Marc Aubreville, Stephan M. Winkler, Matti Kiupel, Christof A. Bertram
2023	A*	`conf`	Why is the Winner the Best? CVPR 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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2023	J	`jnl`	Why is the winner the best? CoRR 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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
2023	J	`jnl`	Wuerstchen: Efficient Pretraining of Text-to-Image Models. CoRR Pablo Pernias, Dominic Rampas, Marc Aubreville
2022	J	`jnl`	Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. CoRR Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville
2022	—	`ed.`	Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 - October 1, 2021, Proceedings MIDOG/MOOD/Learn2Reg@MICCAI Marc Aubreville, David Zimmerer, Mattias P. Heinrich
2022	J	`jnl`	Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images. CoRR 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, Marc Aubreville
2022	J	`jnl`	Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector. CoRR Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram
2022	J	`jnl`	Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces. CoRR Dominic Rampas, Pablo Pernias, Elea Zhong, Marc Aubreville
2022	J	`jnl`	Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology. CoRR Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger
2022	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR 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, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
2022	J	`jnl`	Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset. CoRR Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2022	—	`conf`	Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. MIDOG/DRAC@MICCAI Jonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville
2021	—	`conf`	Abstract: A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research. Bildverarbeitung für die Medizin Marc Aubreville, Christof A. Bertram, Taryn A. Donovan, Christian Marzahl, Andreas Maier, Robert Klopfleisch
2021	—	`conf`	Abstract: Are Fast Labeling Methods Reliable? - A Case Study of Computer-aided Expert Annotations on Microscopy Slides. Bildverarbeitung für die Medizin 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, Jörn Voigt, Robert Klopfleisch, Andreas Maier
2021	—	`conf`	Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region. Bildverarbeitung für die Medizin 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
2021	—	`conf`	Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides. Bildverarbeitung für die Medizin 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, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas Maier
2021	—	`conf`	Automatic and explainable grading of meningiomas from histopathology images. COMPAY@MICCAI Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas K. Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
2021	J	`jnl`	Automatic and explainable grading of meningiomas from histopathology images. CoRR Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
2021	—	`conf`	Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT. Bildverarbeitung für die Medizin Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville
2021	J	`jnl`	Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. CoRR Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville
2021	—	`conf`	Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. Bildverarbeitung für die Medizin Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville
2021	J	`jnl`	Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge. CoRR Frauke Wilm, Katharina Breininger, Marc Aubreville
2021	—	`conf`	Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville
2021	—	`conf`	Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. Bildverarbeitung für die Medizin 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, Beatriz Garcia Gonzalez, Corinne Gurtner, Annabelle Heier, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Franziska Sebastian, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville
2021	J	`jnl`	Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens. CoRR 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
2021	—	`conf`	Iterative Cross-Scanner Registration for Whole Slide Images. ICCVW Luisa Theelke, Frauke Wilm, Christian Marzahl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
2021	J	`jnl`	Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images. CoRR Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville
2021	J	`jnl`	Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. CoRR Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie D. ter Hoeve, Francesco Ciompi, Andreas Maier
2021	—	`conf`	Robust Quad-Tree based Registration on Whole Slide Images. COMPAY@MICCAI 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
2020	—	`conf`	Abstract: How Big is Big Enough? Bildverarbeitung für die Medizin Christof A. Bertram, Marc Aubreville, Christian Marzahl, Andreas K. Maier, Robert Klopfleisch
2020	—	`conf`	Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides. MICCAI (1) 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, Jörn Voigt, Robert Klopfleisch, Andreas Maier
2020	—	`conf`	Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels. iMIMIC/MIL3ID/LABELS@MICCAI Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas K. Maier, Robert Klopfleisch, Marc Aubreville
2020	J	`jnl`	Are fast labeling methods reliable? A case study of computer-aided expert annotations on microscopy slides. CoRR 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, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier
2020	J	`jnl`	Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels. CoRR Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas K. Maier, Robert Klopfleisch, Marc Aubreville
2020	Misc	`conf`	CLCNET: Deep Learning-Based Noise Reduction for Hearing aids using Complex Linear Coding. ICASSP Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Marc Aubreville, Andreas K. Maier
2020	J	`jnl`	CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding. CoRR Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Marc Aubreville, Andreas K. Maier
2020	—	`—`	Computergestützte Tumordiagnose von Mikroskopiebildern (Computer-Aided Tumor Diagnosis of Microscopy Images) Marc Aubreville
2020	J	`jnl`	Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset. CoRR Marc Aubreville, Christof A. Bertram, Taryn A. Donovan, Christian Marzahl, Andreas Maier, Robert Klopfleisch
2020	J	`jnl`	EXACT: A collaboration toolset for algorithm-aided annotation of almost everything. CoRR Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jennifer Maier, Christian Bergler, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier
2020	J	`jnl`	How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment. CoRR 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, Beatriz Garcia Gonzalez, Corinne Gurtner, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville
2020	—	`conf`	Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. Bildverarbeitung für die Medizin Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas K. Maier
2020	—	`conf`	Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides? Bildverarbeitung für die Medizin Christian Marzahl, Marc Aubreville, Christof A. Bertram, Stefan Gerlach, Jennifer Maier, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier
2019	—	`conf`	Augmented Mitotic Cell Count Using Field of Interest Proposal. Bildverarbeitung für die Medizin Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier
2019	J	`jnl`	Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. CoRR 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, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier
2019	J	`jnl`	Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images. Int. J. Comput. Assist. Radiol. Surg. Marc Aubreville, Maike P. Stoeve, Nicolai Oetter, Miguel Goncalves, Christian Knipfer, Helmut Neumann, Christopher Bohr, Florian Stelzle, Andreas K. Maier
2019	J	`jnl`	Field of Interest Prediction for Computer-Aided Mitotic Count. CoRR 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
2019	—	`conf`	Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks. BIOIMAGING Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas Maier
2019	J	`jnl`	Fooling the Crowd with Deep Learning-based Methods. CoRR Christian Marzahl, Marc Aubreville, Christof A. Bertram, Stefan Gerlach, Jennifer Maier, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier
2019	J	`jnl`	Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. CoRR Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas K. Maier
2019	J	`jnl`	Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. CoRR Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier
2018	J	`jnl`	Augmented Mitotic Cell Count using Field Of Interest Proposal. CoRR Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier
2018	—	`conf`	Classification of Mitotic Cells - Potentials Beyond the Limits of Small Data Sets. Bildverarbeitung für die Medizin Maximilian Krappmann, Marc Aubreville, Andreas K. Maier, Christof Bertram, Robert Klopfleisch
2018	—	`conf`	Classification of Polyethylene Particles and the Local CD3+ Lymphocytosis in Histological Slices. Bildverarbeitung für die Medizin Lara-Maria Steffes, Marc Aubreville, Stefan Sesselmann, Veit Krenn, Andreas K. Maier
2018	—	`conf`	Deep Denoising for Hearing Aid Applications. IWAENC Marc Aubreville, Kai Ehrensperger, Andreas K. Maier, Tobias Rosenkranz, Benjamin Graf, Henning Puder
2018	J	`jnl`	Deep Denoising for Hearing Aid Applications. CoRR Marc Aubreville, Kai Ehrensperger, Tobias Rosenkranz, Benjamin Graf, Henning Puder, Andreas K. Maier
2018	J	`jnl`	Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks. CoRR Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier
2018	—	`ch.`	Microscopy. Medical Imaging Systems Firas Mualla, Marc Aubreville, Andreas K. Maier
2018	—	`conf`	Motion Artifact Detection in Confocal Laser Endomicroscopy Images. Bildverarbeitung für die Medizin Maike P. Stoeve, Marc Aubreville, Nicolai Oetter, Christian Knipfer, Helmut Neumann, Florian Stelzle, Andreas K. Maier
2018	—	`conf`	Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment. BIOIMAGING Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier
2018	—	`conf`	SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images. Bildverarbeitung für die Medizin Marc Aubreville, Christof Bertram, Robert Klopfleisch, Andreas K. Maier
2018	J	`jnl`	SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images. CoRR Marc Aubreville, Christof Bertram, Robert Klopfleisch, Andreas K. Maier
2018	—	`conf`	Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. BIOSTEC (Selected Papers) Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier
2017	—	`conf`	A Guided Spatial Transformer Network for Histology Cell Differentiation. VCBM Marc Aubreville, Maximilian Krappmann, Christof Bertram, Robert Klopfleisch, Andreas K. Maier
2017	J	`jnl`	A Guided Spatial Transformer Network for Histology Cell Differentiation. CoRR Marc Aubreville, Maximilian Krappmann, Christof Bertram, Robert Klopfleisch, Andreas K. Maier
2017	J	`jnl`	Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. CoRR Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas K. Maier
2017	J	`jnl`	Motion Artifact Detection in Confocal Laser Endomicroscopy Images. CoRR Maike P. Stoeve, Marc Aubreville, Nicolai Oetter, Christian Knipfer, Helmut Neumann, Florian Stelzle, Andreas K. Maier
2017	J	`jnl`	Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment. CoRR Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier
2015	Misc	`conf`	Directionality assessment of adaptive binaural beamforming with noise suppression in hearing aids. ICASSP Marc Aubreville, Stefan Petrausch