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2020 – today
- 2025
[j4]Jonathan Ganz
, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville:
Re-identification from histopathology images. Medical Image Anal. 99: 103335 (2025)- 2024
- [j3]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:
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. 94: 103155 (2024) - [c48]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:
Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning. Bildverarbeitung für die Medizin 2024: 10 - [c47]Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. Bildverarbeitung für die Medizin 2024: 11 - [c46]Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Robert Klopfleisch, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry. Bildverarbeitung für die Medizin 2024: 123-128 - [c45]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:
Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection. Bildverarbeitung für die Medizin 2024: 136 - [c44]Jonathan Ganz, Chloé Puget, Jonas Ammeling, Eda Parlak, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Robert Klopfleisch, Marc Aubreville:
Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning. Bildverarbeitung für die Medizin 2024: 137-142 - [c43]Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves:
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. Bildverarbeitung für die Medizin 2024: 143-148 - [c42]Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher Pal, Marc Aubreville:
Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models. ICLR 2024 - [c41]Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger:
Leveraging Image Captions for Selective Whole Slide Image Annotation. MICCAI (12) 2024: 207-217 - [i47]Chloé Puget, Jonathan Ganz, Julian Ostermaier, Thomas Konrad, Eda Parlak, Christof Albert Bertram, Matti Kiupel, Katharina Breininger, Marc Aubreville, Robert Klopfleisch:
Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides. CoRR abs/2401.06169 (2024) - [i46]Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger:
Rethinking U-net Skip Connections for Biomedical Image Segmentation. CoRR abs/2402.08276 (2024) - [i45]Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville:
Re-identification from histopathology images. CoRR abs/2403.12816 (2024) - [i44]Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Christopher C. Kaltenecker, Christof A. Bertram:
Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis. CoRR abs/2404.07676 (2024) - [i43]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:
On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images. CoRR abs/2406.19899 (2024) - [i42]Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger:
Leveraging image captions for selective whole slide image annotation. CoRR abs/2407.06363 (2024) - [i41]Frauke Wilm, Mathias Öttl, Marc Aubreville, Katharina Breininger:
Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation. CoRR abs/2409.09797 (2024) - 2023
- [j2]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie 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:
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84: 102699 (2023) - [c40]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Mitko Veta, Katharina Breininger:
Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. Bildverarbeitung für die Medizin 2023: 115 - [c39]Ludwig M. Lausser, Christof A. Bertram, Robert Klopfleisch, Marc Aubreville:
Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation. Bildverarbeitung für die Medizin 2023: 116-121 - [c38]Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram:
Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. Bildverarbeitung für die Medizin 2023: 189-195 - [c37]Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. Bildverarbeitung für die Medizin 2023: 205 - [c36]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. Bildverarbeitung für die Medizin 2023: 206-211 - [c35]Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville:
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. Bildverarbeitung für die Medizin 2023: 220-225 - [c34]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:
Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. Bildverarbeitung für die Medizin 2023: 226-231 - [c33]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, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c32]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger:
Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. ISBI 2023: 1-5 - [c31]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:
Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. MuC 2023: 330-335 - [c30]Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. MICCAI (2) 2023: 90-100 - [e2]Bin Sheng, Marc Aubreville:
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. Lecture Notes in Computer Science 13597, Springer 2023, ISBN 978-3-031-33657-7 [contents] - [d2]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Robert Klopfleisch, Andreas Maier, Katharina Breininger, Marc Aubreville:
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. Zenodo, 2023
- [d1]Frauke Wilm, Christian Ihling, Gabor Mehes, Luigi Terracciano, Chloé Puget, Robert Klopfleisch, Peter J. Schüffler, Marc Aubreville, Andreas Maier, Thomas Mrowiec, Katharina Breininger:
Pan-Tumor T-Lymphocyte Detection Dataset. Zenodo, 2023 - [i40]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. CoRR abs/2301.04423 (2023) - [i39]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.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i38]Pablo Pernias, Dominic Rampas, Marc Aubreville:
Wuerstchen: Efficient Pretraining of Text-to-Image Models. CoRR abs/2306.00637 (2023) - [i37]Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. CoRR abs/2307.07168 (2023) - [i36]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:
Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors. CoRR abs/2309.15031 (2023) - [i35]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:
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR abs/2309.15589 (2023) - [i34]Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves:
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. CoRR abs/2311.07216 (2023) - [i33]Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard. CoRR abs/2311.08949 (2023) - 2022
- [c29]Jonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville:
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. MIDOG/DRAC@MICCAI 2022: 201-205 - [e1]Marc Aubreville, David Zimmerer, Mattias P. Heinrich:
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. Lecture Notes in Computer Science 13166, Springer 2022, ISBN 978-3-030-97280-6 [contents] - [i32]Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset. CoRR abs/2201.11446 (2022) - [i31]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:
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022) - [i30]Dominic Rampas, Pablo Pernias, Elea Zhong, Marc Aubreville:
Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces. CoRR abs/2211.07292 (2022) - [i29]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger:
Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology. CoRR abs/2211.16141 (2022) - [i28]Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram:
Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector. CoRR abs/2212.05900 (2022) - [i27]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:
Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images. CoRR abs/2212.07721 (2022) - [i26]Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville:
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. CoRR abs/2212.07724 (2022) - 2021
- [c28]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:
Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides. Bildverarbeitung für die Medizin 2021: 48 - [c27]Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. Bildverarbeitung für die Medizin 2021: 134-139 - [c26]Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville:
Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT. Bildverarbeitung für die Medizin 2021: 147-152 - [c25]Marc Aubreville, Christof A. Bertram, Taryn A. Donovan, Christian Marzahl, Andreas Maier, Robert Klopfleisch:
Abstract: A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research. Bildverarbeitung für die Medizin 2021: 198 - [c24]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:
Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. Bildverarbeitung für die Medizin 2021: 241-246 - [c23]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:
Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region. Bildverarbeitung für die Medizin 2021: 260 - [c22]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:
Abstract: Are Fast Labeling Methods Reliable? - A Case Study of Computer-aided Expert Annotations on Microscopy Slides. Bildverarbeitung für die Medizin 2021: 296 - [c21]Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas K. Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville:
Automatic and explainable grading of meningiomas from histopathology images. COMPAY@MICCAI 2021: 69-80 - [c20]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:
Robust Quad-Tree based Registration on Whole Slide Images. COMPAY@MICCAI 2021: 181-190 - [c19]Luisa Theelke, Frauke Wilm, Christian Marzahl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger:
Iterative Cross-Scanner Registration for Whole Slide Images. ICCVW 2021: 582-590 - [c18]Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville:
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 5-13 - [i25]Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. CoRR abs/2101.01445 (2021) - [i24]Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville:
Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images. CoRR abs/2101.04943 (2021) - [i23]Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie D. ter Hoeve, Francesco Ciompi, Andreas Maier:
Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. CoRR abs/2103.16515 (2021) - [i22]Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville:
Automatic and explainable grading of meningiomas from histopathology images. CoRR abs/2107.08850 (2021) - [i21]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:
Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens. CoRR abs/2108.08529 (2021) - [i20]Frauke Wilm, Katharina Breininger, Marc Aubreville:
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge. CoRR abs/2108.11269 (2021) - 2020
- [b1]Marc Aubreville:
Computergestützte Tumordiagnose von Mikroskopiebildern (Computer-Aided Tumor Diagnosis of Microscopy Images). University of Erlangen-Nuremberg, Germany, 2020 - [c17]Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas K. Maier:
Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. Bildverarbeitung für die Medizin 2020: 1-7 - [c16]Christian Marzahl, Marc Aubreville, Christof A. Bertram, Stefan Gerlach, Jennifer Maier, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier:
Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides? Bildverarbeitung für die Medizin 2020: 26-31 - [c15]Christof A. Bertram, Marc Aubreville, Christian Marzahl, Andreas K. Maier, Robert Klopfleisch:
Abstract: How Big is Big Enough? Bildverarbeitung für die Medizin 2020: 293 - [c14]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Marc Aubreville, Andreas K. Maier:
CLCNET: Deep Learning-Based Noise Reduction for Hearing aids using Complex Linear Coding. ICASSP 2020: 6949-6953 - [c13]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:
Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides. MICCAI (1) 2020: 24-32 - [c12]Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas K. Maier, Robert Klopfleisch, Marc Aubreville:
Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 204-213 - [i19]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Marc Aubreville, Andreas K. Maier:
CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding. CoRR abs/2001.10218 (2020) - [i18]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:
Are fast labeling methods reliable? A case study of computer-aided expert annotations on microscopy slides. CoRR abs/2004.05838 (2020) - [i17]Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jennifer Maier, Christian Bergler, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier:
EXACT: A collaboration toolset for algorithm-aided annotation of almost everything. CoRR abs/2004.14595 (2020) - [i16]Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas K. Maier, Robert Klopfleisch, Marc Aubreville:
Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels. CoRR abs/2007.05351 (2020) - [i15]Marc Aubreville, Christof A. Bertram, Taryn A. Donovan, Christian Marzahl, Andreas Maier, Robert Klopfleisch:
Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset. CoRR abs/2008.10244 (2020) - [i14]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:
How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment. CoRR abs/2012.02495 (2020)
2010 – 2019
- 2019
- [j1]Marc Aubreville, Maike P. Stoeve, Nicolai Oetter, Miguel Goncalves, Christian Knipfer, Helmut Neumann, Christopher Bohr, Florian Stelzle, Andreas K. Maier:
Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images. Int. J. Comput. Assist. Radiol. Surg. 14(1): 31-42 (2019) - [c11]Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier:
Augmented Mitotic Cell Count Using Field of Interest Proposal. Bildverarbeitung für die Medizin 2019: 321-326 - [c10]Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas Maier:
Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks. BIOIMAGING 2019: 30-37 - [i13]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:
Field of Interest Prediction for Computer-Aided Mitotic Count. CoRR abs/1902.05414 (2019) - [i12]Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. CoRR abs/1902.08985 (2019) - [i11]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:
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. CoRR abs/1908.04767 (2019) - [i10]Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas K. Maier:
Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. CoRR abs/1911.10873 (2019) - [i9]Christian Marzahl, Marc Aubreville, Christof A. Bertram, Stefan Gerlach, Jennifer Maier, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier:
Fooling the Crowd with Deep Learning-based Methods. CoRR abs/1912.00142 (2019) - 2018
- [c9]Lara-Maria Steffes, Marc Aubreville, Stefan Sesselmann, Veit Krenn, Andreas K. Maier:
Classification of Polyethylene Particles and the Local CD3+ Lymphocytosis in Histological Slices. Bildverarbeitung für die Medizin 2018: 228-233 - [c8]Maximilian Krappmann, Marc Aubreville, Andreas K. Maier, Christof Bertram, Robert Klopfleisch:
Classification of Mitotic Cells - Potentials Beyond the Limits of Small Data Sets. Bildverarbeitung für die Medizin 2018: 245-250 - [c7]Marc Aubreville, Christof Bertram, Robert Klopfleisch, Andreas K. Maier:
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images. Bildverarbeitung für die Medizin 2018: 309-314 - [c6]Maike P. Stoeve, Marc Aubreville, Nicolai Oetter, Christian Knipfer, Helmut Neumann, Florian Stelzle, Andreas K. Maier:
Motion Artifact Detection in Confocal Laser Endomicroscopy Images. Bildverarbeitung für die Medizin 2018: 328-333 - [c5]Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment. BIOIMAGING 2018: 27-34 - [c4]Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
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) 2018: 67-85 - [c3]Marc Aubreville, Kai Ehrensperger, Andreas K. Maier, Tobias Rosenkranz, Benjamin Graf, Henning Puder:
Deep Denoising for Hearing Aid Applications. IWAENC 2018: 361-365 - [p1]Firas Mualla, Marc Aubreville, Andreas K. Maier:
Microscopy. Medical Imaging Systems 2018: 69-90 - [i8]Marc Aubreville, Christof Bertram, Robert Klopfleisch, Andreas K. Maier:
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images. CoRR abs/1802.02347 (2018) - [i7]Marc Aubreville, Kai Ehrensperger, Tobias Rosenkranz, Benjamin Graf, Henning Puder, Andreas K. Maier:
Deep Denoising for Hearing Aid Applications. CoRR abs/1805.01198 (2018) - [i6]Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier:
Augmented Mitotic Cell Count using Field Of Interest Proposal. CoRR abs/1810.00850 (2018) - [i5]Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier:
Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks. CoRR abs/1810.09197 (2018) - 2017
- [c2]Marc Aubreville, Maximilian Krappmann, Christof Bertram, Robert Klopfleisch, Andreas K. Maier:
A Guided Spatial Transformer Network for Histology Cell Differentiation. VCBM 2017: 21-25 - [i4]Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas K. Maier:
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. CoRR abs/1703.01622 (2017) - [i3]Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment. CoRR abs/1707.08149 (2017) - [i2]Marc Aubreville, Maximilian Krappmann, Christof Bertram, Robert Klopfleisch, Andreas K. Maier:
A Guided Spatial Transformer Network for Histology Cell Differentiation. CoRR abs/1707.08525 (2017) - [i1]Maike P. Stoeve, Marc Aubreville, Nicolai Oetter, Christian Knipfer, Helmut Neumann, Florian Stelzle, Andreas K. Maier:
Motion Artifact Detection in Confocal Laser Endomicroscopy Images. CoRR abs/1711.01117 (2017) - 2015
- [c1]Marc Aubreville, Stefan Petrausch:
Directionality assessment of adaptive binaural beamforming with noise suppression in hearing aids. ICASSP 2015: 211-215
Coauthor Index
[j3] [c48] [c46] [c45] [c44] [i47] [i44] [i43] [j2] [c40] [c39] [c38] [c37] [c36] [c34] [c32] [c31] [d2] [i40] [i36] [i35] [i33] [i32] [i31] [i29] [i28] [i27] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i25] [i24] [i23] [i22] [i21] [c17] [c16] [c15] [c13] [c12] [i18] [i17] [i16] [i15] [i14] [c11] [c10] [i13] [i11] [i10] [i9] [c8] [c7] [i8] [i6] [i5] [c2] [i2]
[j4] [j3] [c48] [c47] [c46] [c45] [c44] [c43] [c41] [i47] [i46] [i45] [i43] [i42] [i41] [j2] [c40] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [d2] [d1] [i40] [i37] [i35] [i34] [i33] [c29] [i32] [i31] [i29] [i28] [i27] [i26] [c27] [c26] [c24] [c21] [c20] [c19] [c18] [i25] [i24] [i23] [i22] [i21] [i20] [i14]
Marco Fragoso
aka: Marco Fragoso-Garcia
aka: Marco Fragoso-Garcia
[j3] [c48] [c46] [c45] [c44] [i47] [i43] [j2] [c40] [c39] [c37] [c36] [c34] [c32] [d2] [d1] [i40] [i36] [i35] [i32] [i31] [i29] [i27] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c20] [c19] [i25] [i24] [i23] [i21] [c17] [c16] [c15] [c13] [c12] [i18] [i17] [i16] [i15] [i14] [c11] [c10] [i13] [i11] [i10] [i9] [c8] [c7] [i8] [i6] [i5] [c2] [i2]
[c48] [j2] [c40] [c37] [c36] [c32] [d2] [d1] [i40] [i32] [i31] [i29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i25] [i24] [i23] [i22] [i21] [c17] [c16] [c15] [c14] [c13] [c12] [i19] [i18] [i17] [i16] [i15] [i14] [j1] [c11] [c10] [i13] [i12] [i11] [i10] [i9] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [p1] [i8] [i7] [i6] [i5] [c2] [i4] [i3] [i2] [i1]
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