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Nikolas Stathonikos
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2020 – today
- 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) - [c6]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 - 2023
- [j2]Marc Aubreville
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84: 102699 (2023) - [c5]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 - [c4]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 - [c3]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch
Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. ISBI 2023: 1-5 - [d1]Frauke Wilm
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. Zenodo, 2023 - [i8]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. CoRR abs/2301.04423 (2023) - [i7]Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR abs/2309.15589 (2023) - 2022
- [i6]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022) - [i5]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch
Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology. CoRR abs/2211.16141 (2022) - 2021
- [i4]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) - 2020
- [c2]Mike van Zon, Nikolas Stathonikos, Willeke A. M. Blokx, Selim Komina, Sybren L. N. Maas, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta:
Segmentation and Classification of Melanoma and Nevus in Whole Slide Images. ISBI 2020: 263-266 - [c1]Christof A. Bertram, Mitko Veta, Christian Marzahl
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 - [i3]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) - [i2]Suzanne C. Wetstein, Nikolas Stathonikos, Josien P. W. Pluim, Yujing J. Heng, Natalie D. ter Hoeve, Celien P. H. Vreuls, Paul J. van Diest, Mitko Veta:
Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images. CoRR abs/2010.03244 (2020)
2010 – 2019
- 2019
- [j1]Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54: 111-121 (2019) - 2018
- [i1]Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR abs/1807.08284 (2018)
Coauthor Index
aka: Christof A. Bertram
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