@article{stathonikos2013going,
  title={Going fully digital: Perspective of a Dutch academic pathology lab},
  author={Stathonikos, Nikolas and Veta, Mitko and Huisman, Andr{\'e} and van Diest, Paul J.},
  journal={Journal of pathology informatics},
  volume={4},
  number={1},
  pages={15},
  year={2013},
  publisher={Elsevier}
}

@article{stathonikos2020digital,
  title={Digital pathology in the time of corona},
  author={Stathonikos, Nikolas and van Varsseveld, Nadege C. and Vink, Aryan and van Dijk, Marijke R. and Nguyen, Tri Q. and de Leng, Wendy W.J. and Lacle, Miangela M. and Goldschmeding, Roel and Vreuls, Celien P.H. and van Diest, Paul J.},
  journal={Journal of Clinical Pathology},
  volume={73},
  number={11},
  pages={706--712},
  year={2020},
}

@inproceedings{veeling2018rotation,
  title={Rotation equivariant {CNN}s for digital pathology},
  author={Veeling, Bastiaan S. and Linmans, Jasper and Winkens, Jim and Cohen, Taco and Welling, Max},
  booktitle={Medical image computing and computer assisted intervention--MICCAI 2018: 21st international conference, granada, Spain, September 16-20, 2018, proceedings, part II 11},
  pages={210--218},
  year={2018},
}

@article{lafarge2021roto,
  title={Roto-translation equivariant convolutional networks: Application to histopathology image analysis},
  author={Lafarge, Maxime W. and Bekkers, Erik J. and Pluim, Josien P.W. and Duits, Remco and Veta, Mitko},
  journal={Medical Image Analysis},
  volume={68},
  pages={101849},
  year={2021},
}

@article{gidaris2018unsupervised,
  title={Unsupervised representation learning by predicting image rotations},
  author={Gidaris, Spyros and Singh, Praveer and Komodakis, Nikos},
  journal={International Conference on Learning Representations},
  year={2018}
}

@inproceedings{lucassen2024tissue,
  author = {Ruben T. Lucassen and Willeke A.M. Blokx and Mitko Veta},
  title = {Tissue cross-section and pen marking segmentation in whole slide images},
  volume = {12933},
  booktitle = {Proceedings of SPIE 12933, Medical Imaging 2024: Digital and Computational Pathology},
  year = {2024},
}

@article{hara2017designing,
  title={Designing deep convolutional neural networks for continuous object orientation estimation},
  author={Hara, Kota and Vemulapalli, Raviteja and Chellappa, Rama},
  journal={arXiv preprint arXiv:1702.01499},
  year={2017}
}

@inproceedings{fischer2015image,
  title={Image orientation estimation with convolutional networks},
  author={Fischer, Philipp and Dosovitskiy, Alexey and Brox, Thomas},
  booktitle={German conference on pattern recognition},
  pages={368--378},
  year={2015}
}

@article{dosovitskiy2020vit,
  title={An Image is Worth 16x16 Words: {T}ransformers for Image Recognition at Scale},
  author={Alexey Dosovitskiy and Lucas Beyer and Alexander Kolesnikov and Dirk Weissenborn and Xiaohua Zhai and Thomas Unterthiner and Mostafa Dehghani and Matthias Minderer and Georg Heigold and Sylvain Gelly and Jakob Uszkoreit and Neil Houlsby},
  journal={Proceedings of the International Conference on Learning Representations},
  year={2021}
}

@article{vaswani2017attention,
  title={Attention is all you need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N. and Kaiser, {\L}ukasz and Polosukhin, Illia},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@misc{rw2019timm,
  author = {Ross Wightman},
  title = {PyTorch Image Models},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  doi = {10.5281/zenodo.4414861},
  howpublished = {\url{https://github.com/rwightman/pytorch-image-models}}
}

@article{loshchilov2019decoupled,
  title={Decoupled weight decay regularization},
  author={Loshchilov, Ilya and Hutter, Frank},
  journal={Proceedings of the International Conference on Learning Representations},
  year={2019}
}

@inproceedings{deng2009imagenet,
  title={Image{N}et: {A} large-scale hierarchical image database},
  author={Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Li, Kai and Fei-Fei, Li},
  booktitle={2009 IEEE conference on computer vision and pattern recognition},
  pages={248--255},
  year={2009},
}

@article{bland1986statistical,
  title={Statistical methods for assessing agreement between two methods of clinical measurement},
  author={Bland, J. Martin and Altman, Douglas G.},
  journal={The lancet},
  volume={327},
  number={8476},
  pages={307--310},
  year={1986},
}

@article{SHAO2024108318,
title = {{RAPHIA}: {A} deep learning pipeline for the registration of {MRI} and whole-mount histopathology images of the prostate},
journal = {Computers in Biology and Medicine},
volume = {173},
pages = {108318},
year = {2024},
author = {Wei Shao and Sulaiman Vesal and Simon J.C. Soerensen and Indrani Bhattacharya and Negar Golestani and Rikiya Yamashita and Christian A. Kunder and Richard E. Fan and Pejman Ghanouni and James D. Brooks and Geoffrey A. Sonn and Mirabela Rusu}
}