
@article{aubreville2023mitosis,
  title={Mitosis domain generalization in histopathology images—the {MIDOG} challenge},
  author={Aubreville, Marc and Stathonikos, Nikolas and Bertram, Christof A and Klopfleisch, Robert and Ter Hoeve, Natalie and Ciompi, Francesco and Wilm, Frauke and Marzahl, Christian and Donovan, Taryn A and Maier, Andreas and others},
  journal={Medical Image Analysis},
  volume={84},
  pages={102699},
  year={2023},
  publisher={Elsevier}
}

@inproceedings{aubreville2023deep,
  title={Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector},
  author={Aubreville, Marc and Ganz, Jonathan and Ammeling, Jonas and Donovan, Taryn A and Fick, Rutger HJ and Breininger, Katharina and Bertram, Christof A},
  booktitle={BVM Workshop},
  pages={189--195},
  year={2023},
  organization={Springer}
}
@article{donovan2021mitotic,
  title={Mitotic Figures—Normal, Atypical, and Imposters: A Guide to Identification},
  author={Donovan, Taryn A and Moore, Frances M and Bertram, Christof A and Luong, Richard and Bolfa, Pompei and Klopfleisch, Robert and Tvedten, Harold and Salas, Elisa N and Whitley, Derick B and Aubreville, Marc and others},
  journal={Veterinary pathology},
  volume={58},
  doi={10.1177/0300985820980049},
  number={2},
  pages={243--257},
  year={2021},
  publisher={SAGE Publications Sage CA: Los Angeles, CA}
}
@article{ohashi2018prognostic,
  title={Prognostic utility of atypical mitoses in patients with breast cancer: a comparative study with Ki67 and phosphohistone H3},
  author={Ohashi, Ryuji and Namimatsu, Shigeki and Sakatani, Takashi and Naito, Zenya and Takei, Hiroyuki and Shimizu, Akira},
  journal={J Surg Oncol},
  volume={118},
  number={3},
  pages={557--567},
  year={2018},
  publisher={Wiley Online Library}
}

@article{lashen2022characteristics,
  title={The characteristics and clinical significance of atypical mitosis in breast cancer},
  author={Lashen, Ayat and Toss, Michael S and Alsaleem, Mansour and Green, Andrew R and Mongan, Nigel P and Rakha, Emad},
  journal={Mod Pathol},
  pages={1341–1348},
  volume={35},
  year={2022},
  publisher={Nature Publishing Group}
}
@article{aubreville2023domain,
  title={Domain generalization across tumor types, laboratories, and species--insights from the 2022 edition of the Mitosis Domain Generalization Challenge},
  author={Aubreville, Marc and Stathonikos, Nikolas and Donovan, Taryn A and Klopfleisch, Robert and Ganz, Jonathan and Ammeling, Jonas and Wilm, Frauke and Veta, Mitko and Jabari, Samir and Eckstein, Markus and others},
  journal={arXiv preprint arXiv:2309.15589},
  year={2023}
}
@article{aubreville2023comprehensive,
  title={A comprehensive multi-domain dataset for mitotic figure detection},
  author={Aubreville, Marc and Wilm, Frauke and Stathonikos, Nikolas and Breininger, Katharina and Donovan, Taryn A and Jabari, Samir and Veta, Mitko and Ganz, Jonathan and Ammeling, Jonas and van Diest, Paul J and others},
  journal={Scientific Data},
  volume={10},
  number={1},
  pages={484},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@article{veta2019predicting,
  title={Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge},
  author={Veta, Mitko and Heng, Yujing J and Stathonikos, Nikolas and Bejnordi, Babak Ehteshami and Beca, Francisco and Wollmann, Thomas and Rohr, Karl and Shah, Manan A and Wang, Dayong and Rousson, Mikael and others},
  journal={Medical image analysis},
  volume={54},
  pages={111--121},
  doi={10.1016/j.media.2019.02.012},
  year={2019},
  publisher={Elsevier}
}

@article{Bertram2021VetPathol,
author = {Christof A. Bertram and Marc Aubreville and Taryn A Donovan and Alexander Bartel and Frauke Wilm and Christian Marzahl and Charles-Antoine Assenmacher and Kathrin Becker and Mark Bennett and Sarah Corner and Brieuc Cossic and Daniela Denk and Martina Dettwiler and Beatriz Garcia Gonzalez and Corinne Gurtner and Ann-Kathrin Haverkamp and Annabelle Heier and Annika Lehmbecker and Sophie Merz and Erica L. Noland and Stephanie Plog and Anja Schmidt and Franziska Sebastian and Dodd G. Sledge and Rebecca C. Smedley and Marco Tecilla and Tuddow Thaiwong and Andrea Fuchs-Baumgartinger and Donald J. Meuten and Katharina Breininger and Matti Kiupel and Andreas Maier and Robert Klopfleisch},
title = {Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy},
journal = {Veterinary Pathology},
doi = {10.1177/03009858211067478},
year = {2021},
}


@article{malon2012mitotic,
  title={Mitotic figure recognition: Agreement among pathologists and computerized detector},
  author={Malon, Christopher and Brachtel, Elena and Cosatto, Eric and Graf, Hans Peter and Kurata, Atsushi and Kuroda, Masahiko and Meyer, John S and Saito, Akira and Wu, Shulin and Yagi, Yukako},
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@article{veta2016mitosis,
  title={Mitosis counting in breast cancer: Object-level interobserver agreement and comparison to an automatic method},
  author={Veta, Mitko and Van Diest, Paul J and Jiwa, Mehdi and Al-Janabi, Shaimaa and Pluim, Josien PW},
  journal={PloS one},
  volume={11},
  number={8},
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  pages={e0161286},
  year={2016},
  publisher={Public Library of Science San Francisco, CA USA}
}

@article{Meyer:2005cl,
author = {Meyer, John S and Alvarez, Consuelo and Milikowski, Clara and Olson, Neal and Russo, Irma and Russo, Jose and Glass, Andrew and Zehnbauer, Barbara A and Lister, Karen and Parwaresch, Reza},
title = {{Breast carcinoma malignancy grading by Bloom-Richardson system vs proliferation index: Reproducibility of grade and advantages of proliferation index}},
journal = {Modern Pathol},
year = {2005},
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volume = {18},
number = {8},
pages = {1067--1078},
month = aug
}

@article{veta2015assessment,
  title={Assessment of algorithms for mitosis detection in breast cancer histopathology images},
  author={Veta, Mitko and Van Diest, Paul J and Willems, Stefan M and Wang, Haibo and Madabhushi, Anant and Cruz-Roa, Angel and Gonzalez, Fabio and Larsen, Anders BL and Vestergaard, Jacob S and Dahl, Anders B and others},
  journal={Medical image analysis},
  volume={20},
  number={1},
  pages={237--248},
  year={2015},
  publisher={Elsevier}
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@article{fitzgibbons2023protocol,
  title={Protocol for the examination of resection specimens from patients with invasive carcinoma of the breast},
  author={Fitzgibbons, Patrick L and Connolly, James L},
  journal={CAP guidelines},
  volume={4.8.1.0},
  url={https://www.cap.org/cancerprotocols},
  year={2023},
  publisher={Korean Breast Cancer Society}
}

@inproceedings{wei2022mitigating,
  title={Mitigating neural network overconfidence with logit normalization},
  author={Wei, Hongxin and Xie, Renchunzi and Cheng, Hao and Feng, Lei and An, Bo and Li, Yixuan},
  booktitle={International Conference on Machine Learning},
  pages={23631--23644},
  year={2022},
  organization={PMLR}
}

@article{aubreville2020completely,
  title={A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research},
  author={Aubreville, Marc and Bertram, Christof A and Donovan, Taryn A and Marzahl, Christian and Maier, Andreas and Klopfleisch, Robert},
  journal={Scientific data},
  volume={7},
  number={1},
  pages={417},
  year={2020},
  publisher={Nature Publishing Group UK London}
}


@inproceedings{marzahl2021robust,
  title={Robust quad-tree based registration on whole slide images},
  author={Marzahl, Christian and Wilm, Frauke and Tharun, Lars and Perner, Sven and Bertram, Christof A and Kr{\"o}ger, Christine and Voigt, J{\"o}rn and Klopfleisch, Robert and Maier, Andreas and Aubreville, Marc and others},
  booktitle={MICCAI Workshop on Computational Pathology},
  pages={181--190},
  year={2021},
  organization={PMLR}
}


@article{bertram2023atypical,
  title={Atypical Mitotic Figures Are Prognostically Meaningful for Canine Cutaneous Mast Cell Tumors},
  author={Bertram, Christof A and Bartel, Alexander and Donovan, Taryn A and Kiupel, Matti},
  journal={Veterinary Sciences},
  volume={11},
  number={1},
  pages={5},
  year={2023},
  publisher={MDPI}
}

@article{bertram2019large,
  title={A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor},
  author={Bertram, Christof A and Aubreville, Marc and Marzahl, Christian and Maier, Andreas and Klopfleisch, Robert},
  journal={Scientific data},
  volume={6},
  number={1},
  pages={274},
  year={2019},
  publisher={Nature Publishing Group UK London}
}

@InProceedings{faryna21,
  title = 	 {Tailoring automated data augmentation to H\&E-stained histopathology},
  author =       {Faryna, Khrystyna and van der Laak, Jeroen and Litjens, Geert},
  booktitle = 	 {Proceedings of the Fourth Conference on Medical Imaging with Deep Learning},
  pages = 	 {168--178},
  year = 	 {2021},
  editor = 	 {Heinrich, Mattias and Dou, Qi and de Bruijne, Marleen and Lellmann, Jan and Schläfer, Alexander and Ernst, Floris},
  volume = 	 {143},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {07--09 Jul},
  publisher =    {PMLR},
  pdf = 	 {https://proceedings.mlr.press/v143/faryna21a/faryna21a.pdf},
  url = 	 {https://proceedings.mlr.press/v143/faryna21a.html},

}

@article{piansaddhayanaon2023recasnet,
  title={ReCasNet: Improving consistency within the two-stage mitosis detection framework},
  author={Piansaddhayanaon, Chawan and Santisukwongchote, Sakun and Shuangshoti, Shanop and Tao, Qingyi and Sriswasdi, Sira and Chuangsuwanich, Ekapol},
  journal={Artificial Intelligence in Medicine},
  volume={135},
  pages={102462},
  year={2023},
  publisher={Elsevier}
}

@article{wang2021you,
  title={You only learn one representation: Unified network for multiple tasks},
  author={Wang, Chien-Yao and Yeh, I-Hau and Liao, Hong-Yuan Mark},
  journal={arXiv preprint arXiv:2105.04206},
  year={2021}
}

@inproceedings{huang2017densely,
  title={Densely connected convolutional networks},
  author={Huang, Gao and Liu, Zhuang and Van Der Maaten, Laurens and Weinberger, Kilian Q},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={4700--4708},
  year={2017}
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@inproceedings{tan2019efficientnet,
  title={Efficientnet: Rethinking model scaling for convolutional neural networks},
  author={Tan, Mingxing and Le, Quoc},
  booktitle={International conference on machine learning},
  pages={6105--6114},
  year={2019},
  organization={PMLR}
}

@article{li2018deepmitosis,
  title={DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks},
  author={Li, Chao and Wang, Xinggang and Liu, Wenyu and Latecki, Longin Jan},
  journal={Medical image analysis},
  volume={45},
  pages={121--133},
  year={2018},
  publisher={Elsevier}
}

@article{tellez2018whole,
  title={Whole-slide mitosis detection in H\&E breast histology using PHH3 as a reference to train distilled stain-invariant convolutional networks},
  author={Tellez, David and Balkenhol, Maschenka and Otte-H{\"o}ller, Irene and van de Loo, Rob and Vogels, Rob and Bult, Peter and Wauters, Carla and Vreuls, Willem and Mol, Suzanne and Karssemeijer, Nico and others},
  journal={IEEE transactions on medical imaging},
  volume={37},
  number={9},
  pages={2126--2136},
  year={2018},
  publisher={IEEE}
}

@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
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  year={2016}
}