Jonas Ammeling

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)	2025	Christof Bertram V. C. Weiss Taryn Donovan Sudeep Banerjee Thomas Conrad Jonas Ammeling Robert Klopfleisch Christopher C. Kaltenecker Marc Aubreville
+ PDF Chat	Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification	2024	Jonathan Ganz Jonas Ammeling Emely Rosbach Ludwig Lausser Christof Bertram Katharina Breininger Marc Aubreville
+ PDF Chat	Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology	2024	Emely Rosbach Jonathan Ganz Jonas Ammeling Andreas Riener Marc Aubreville
+ PDF Chat	When Two Wrongs Don't Make a Right" -- Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology	2024	Emely Rosbach Jonas Ammeling Sebastian Krügel Angelika Kießig Alexis Fritz Jonathan Ganz Chloé Puget Taryn Donovan Andrea Klang Monika Koller
+ PDF Chat	On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images	2024	Jonathan Ganz Christian Marzahl Jonas Ammeling Barbara Richter Chloé Puget Daniela Denk Elena A. Demeter Flaviu Tăbăran Gabriel Wasinger Karoline Lipnik
+ PDF Chat	Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis	2024	Marc Aubreville Jonathan Ganz Jonas Ammeling Christopher C. Kaltenecker Christof Bertram
+	Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge	2024	Marc Aubreville Nikolas Stathonikos Taryn Donovan Robert Klopfleisch Jonas Ammeling Jonathan Ganz Frauke Wilm Mitko Veta Samir Jabari Markus Eckstein
+ PDF Chat	Re-identification from histopathology images	2024	Jonathan Ganz Jonas Ammeling Samir Jabari Katharina Breininger Marc Aubreville
+ PDF Chat	Rethinking U-net Skip Connections for Biomedical Image Segmentation	2024	Frauke Wilm Jonas Ammeling Mathias Öttl Rutger Fick Marc Aubreville Katharina Breininger
+ PDF Chat	Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images	2023	Jonathan Ganz Karoline Lipnik Jonas Ammeling Barbara Richter Chloé Puget Cem Parlak Laura Diehl Robert Klopfleisch Taryn Donovan Matti Kiupel
+	Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge	2023	Marc Aubreville Nikolas Stathonikos Taryn Donovan Robert Klopfleisch Jonathan Ganz Jonas Ammeling Frauke Wilm Mitko Veta Samir Jabari Markus Eckstein
+	Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors	2023	Marc Aubreville Zhaoya Pan Matti Sievert Jonas Ammeling Jonathan Ganz Nicolai Oetter Florian Stelzle Ann‐Kathrin Frenken Katharina Breininger Miguel Gonçalves
+	Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard	2023	Jonas Ammeling Moritz Hecker Jonathan Ganz Taryn Donovan Christof Bertram Katharina Breininger Marc Aubreville
+	Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector	2022	Marc Aubreville Jonathan Ganz Jonas Ammeling Taryn Donovan Rutger Fick Katharina Breininger Christof Bertram
+	Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays	2022	Jonas Ammeling Lars‐Henning Schmidt Jonathan Ganz Tanja Niedermair Christoph Brochhausen-Delius Christian Schulz Katharina Breininger Marc Aubreville
+	Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images	2022	Jonathan Ganz Karoline Lipnik Jonas Ammeling Barbara Richter Chloé Puget Cem Parlak Laura Diehl Robert Klopfleisch Taryn Donovan Matti Kiupel

Common Coauthors

Coauthor	Papers Together
Marc Aubreville	16
Jonathan Ganz	14
Katharina Breininger	12
Christof Bertram	11
Taryn Donovan	9
Robert Klopfleisch	6
Chloé Puget	4
Samir Jabari	4
Frauke Wilm	3
Karoline Lipnik	3
Nikolas Stathonikos	3
Emely Rosbach	3
Matti Kiupel	3
Daniela Denk	2
Cem Parlak	2
Mitko Veta	2
Yongbing Zhang	2
Christian Krumnow	2
Barbara Richter	2
Christopher C. Kaltenecker	2
Mostafa Jahanifar	2
VG Saipradeep	2
Xiyue Wang	2
Rutger Fick	2
Viktor H. Koelzer	2
Adam Shephard	2
Pompei Bolfä	2
Sujatha Kotte	2
Sercan Çayır	2
Engin Bozaba	2
Maxime W. Lafarge	2
Ziyue Wang	2
Markus Eckstein	2
Andreas Riener	2
Jonas Annuscheit	2
Laura Diehl	2
Marco Tecilla	2
Elena A. Demeter	1
Xiang Chen	1
Sen Yang	1
Sudeep Banerjee	1
Hongyan Gu	1
Satoshi Kasai	1
Andrea Klang	1
Sophie Merz	1
Matthew J. Valentine	1
V. C. Weiss	1
Moritz Hecker	1
Alexander F. H. Haake	1
Ronald R. de Krijger	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge	2019	Mitko Veta Yujing J. Heng Nikolas Stathonikos Babak Ehteshami Bejnordi Francisco Beça Thomas Wollmann Karl Rohr Manan Shah D. Wang Mikaël Rousson	2
+ PDF Chat	Assessment of algorithms for mitosis detection in breast cancer histopathology images	2014	Mitko Veta P. J. van Diest Stefan M. Willems Haibo Wang Anant Madabhushi Ángel Cruz-Roa Fabio A. González Anders Larsen Jacob S. Vestergaard Anders Bjorholm Dahl	2
+	Adversarial Weight Perturbation Helps Robust Generalization	2020	Dongxian Wu Shu‐Tao Xia Yisen Wang	2
+ PDF Chat	Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks	2018	David Tellez Maschenka Balkenhol Irene Otte‐Höller Rob van de Loo Rob Vogels Peter Bult Carla Wauters Willem Vreuls Suzanne Mol Nico Karssemeijer	2
+ PDF Chat	Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region	2020	Marc Aubreville Christof Bertram Christian Marzahl Corinne Gurtner Martina Dettwiler Anja Schmidt Florian Bartenschlager Sophie Merz Marco Fragoso Olivia Kershaw	2
+ PDF Chat	EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control	2021	Christian Marzahl Marc Aubreville Christof Bertram Jennifer Maier Christian Bergler Christine Kröger Jörn Voigt Katharina Breininger Robert Klopfleisch Andreas Maier	2
+	Comparing Individual Means in the Analysis of Variance	1949	John W. Tukey	2
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	2
+ PDF Chat	Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images	2019	Simon Graham Quoc Dang Vu Shan E Ahmed Raza Ayesha Azam Yee Wah Tsang Jin Tae Kwak Nasir Rajpoot	2
+	YOLOv4: Optimal Speed and Accuracy of Object Detection	2020	Alexey Bochkovskiy Chien-Yao Wang Hong-Yuan Mark Liao	2
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	2
+ PDF Chat	Mitosis domain generalization in histopathology images — The MIDOG challenge	2022	Marc Aubreville Nikolas Stathonikos Christof Bertram Robert Klopfleisch Natalie D. ter Hoeve Francesco Ciompi Frauke Wilm Christian Marzahl Taryn Donovan Andreas Maier	2
+	Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures	2022	Mostafa Jahanifar Adam Shephard Neda Zamanitajeddin Shan E Ahmed Raza Nasir Rajpoot	1
+	Group Equivariant Convolutional Networks	2016	Taco Cohen Max Welling	1
+ PDF Chat	EfficientDet: Scalable and Efficient Object Detection	2020	Mingxing Tan Ruoming Pang Quoc V. Le	1
+ PDF Chat	The Measurement of Observer Agreement for Categorical Data	1977	J. Richard Landis Gary G. Koch	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Focal Loss for Dense Object Detection	2018	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+	Proceedings of the 24th international conference on Machine learning	2007	John Langford Joëlle Pineau	1
+ PDF Chat	FDA: Fourier Domain Adaptation for Semantic Segmentation	2020	Yanchao Yang Stefano Soatto	1
+ PDF Chat	FCOS: A Simple and Strong Anchor-free Object Detector	2020	Zhi Tian Chunhua Shen Hao Chen Tong He	1
+	Quantifying the Scanner-Induced Domain Gap in Mitosis Detection	2021	Marc Aubreville Christof Bertram Mitko Veta Robert Klopfleisch Nikolas Stathonikos Katharina Breininger Natalie D. ter Hoeve Francesco Ciompi Andreas Maier	1
+ PDF Chat	Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input	2021	Mostafa Jahanifar Neda Zamani Tajeddin Navid Alemi Koohbanani Nasir Rajpoot	1
+ PDF Chat	Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis	2022	Frauke Wilm Christian Marzahl Katharina Breininger Marc Aubreville	1