@article{Kumar2020,
  title={Whole slide imaging (WSI) in pathology: current perspectives and future directions},
  author={Kumar, Neeta and Gupta, Ruchika and Gupta, Sanjay},
  journal={Journal of digital imaging},
  volume={33},
  number={4},
  pages={1034--1040},
  year={2020},
  publisher={Springer}
}

@article{Aeffner2019,
  title={Introduction to digital image analysis in whole-slide imaging: a white paper from the digital pathology association},
  author={Aeffner, Famke and Zarella, Mark D and Buchbinder, Nathan and Bui, Marilyn M and Goodman, Matthew R and Hartman, Douglas J and Lujan, Giovanni M and Molani, Mariam A and Parwani, Anil V and Lillard, Kate and others},
  journal={Journal of pathology informatics},
  volume={10},
  number={1},
  pages={9},
  year={2019},
  publisher={Elsevier}
}

@article{Ciga2022,
  title={Self supervised contrastive learning for digital histopathology},
  author={Ciga, Ozan and Xu, Tony and Martel, Anne Louise},
  journal={Machine learning with applications},
  volume={7},
  pages={100198},
  year={2022},
  publisher={Elsevier}
}

@article{Wang2022,
  title={Transformer-based unsupervised contrastive learning for histopathological image classification},
  author={Wang, Xiyue and Yang, Sen and Zhang, Jun and Wang, Minghui and Zhang, Jing and Yang, Wei and Huang, Junzhou and Han, Xiao},
  journal={Medical image analysis},
  volume={81},
  pages={102559},
  year={2022},
  publisher={Elsevier}
}

@inproceedings{Chen2022,
  title={Scaling vision transformers to gigapixel images via hierarchical self-supervised learning},
  author={Chen, Richard J and Chen, Chengkuan and Li, Yicong and Chen, Tiffany Y and Trister, Andrew D and Krishnan, Rahul G and Mahmood, Faisal},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={16144--16155},
  year={2022}
}

@article{Filiot2023,
  title={Scaling self-supervised learning for histopathology with masked image modeling},
  author={Filiot, Alexandre and Ghermi, Ridouane and Olivier, Antoine and Jacob, Paul and Fidon, Lucas and Camara, Axel and Mac Kain, Alice and Saillard, Charlie and Schiratti, Jean-Baptiste},
  journal={medRxiv},
  pages={2023--07},
  year={2023},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{Vorontsov2023,
  title={Virchow: A million-slide digital pathology foundation model},
  author={Vorontsov, Eugene and Bozkurt, Alican and Casson, Adam and Shaikovski, George and Zelechowski, Michal and Liu, Siqi and Severson, Kristen and Zimmermann, Eric and Hall, James and Tenenholtz, Neil and others},
  journal={arXiv preprint arXiv:2309.07778},
  year={2023}
}

@article{Hua2023,
  title={Pathoduet: Foundation models for pathological slide analysis of H\&E and IHC stains},
  author={Hua, Shengyi and Yan, Fang and Shen, Tianle and Ma, Lei and Zhang, Xiaofan},
  journal={Medical Image Analysis},
  volume={97},
  pages={103289},
  year={2024},
  publisher={Elsevier}
}

@inproceedings{Alfasly2024,
  title={Rotation-agnostic image representation learning for digital pathology},
  author={Alfasly, Saghir and Shafique, Abubakr and Nejat, Peyman and Khan, Jibran and Alsaafin, Areej and Alabtah, Ghazal and Tizhoosh, Hamid R},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={11683--11693},
  year={2024}
}

@article{Chen2024,
  title={Towards a general-purpose foundation model for computational pathology},
  author={Chen, Richard J and Ding, Tong and Lu, Ming Y and Williamson, Drew FK and Jaume, Guillaume and Song, Andrew H and Chen, Bowen and Zhang, Andrew and Shao, Daniel and Shaban, Muhammad and others},
  journal={Nature Medicine},
  volume={30},
  number={3},
  pages={850--862},
  year={2024},
  publisher={Nature Publishing Group US New York}
}

@article{Lu2024,
  title={A visual-language foundation model for computational pathology},
  author={Lu, Ming Y and Chen, Bowen and Williamson, Drew FK and Chen, Richard J and Liang, Ivy and Ding, Tong and Jaume, Guillaume and Odintsov, Igor and Le, Long Phi and Gerber, Georg and others},
  journal={Nature Medicine},
  volume={30},
  number={3},
  pages={863--874},
  year={2024},
  publisher={Nature Publishing Group US New York}
}

@article{Nechaev2024,
  title={Hibou: A family of foundational vision transformers for pathology},
  author={Nechaev, Dmitry and Pchelnikov, Alexey and Ivanova, Ekaterina},
  journal={arXiv preprint arXiv:2406.05074},
  year={2024}
}

@article{Xu2024,
  title={A whole-slide foundation model for digital pathology from real-world data},
  author={Xu, Hanwen and Usuyama, Naoto and Bagga, Jaspreet and Zhang, Sheng and Rao, Rajesh and Naumann, Tristan and Wong, Cliff and Gero, Zelalem and Gonz{\'a}lez, Javier and Gu, Yu and others},
  journal={Nature},
  volume={630},
  number={8015},
  pages={181--188},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

@article{Yang2024,
  title={A foundation model for generalizable cancer diagnosis and survival prediction from histopathological images},
  author={Yang, Zhaochang and Wei, Ting and Liang, Ying and Yuan, Xin and Gao, Ruitian and Xia, Yujia and Zhou, Jie and Zhang, Yue and Yu, Zhangsheng},
  journal={Nature Communications},
  volume={16},
  number={1},
  pages={2366},
  year={2025},
  publisher={Nature Publishing Group UK London}
}

@article{wolflein2023,
  title={Benchmarking pathology feature extractors for whole slide image classification},
  author={W{\"o}lflein, Georg and Ferber, Dyke and Meneghetti, Asier R and El Nahhas, Omar SM and Truhn, Daniel and Carrero, Zunamys I and Harrison, David J and Arandjelovi{\'c}, Ognjen and Kather, Jakob Nikolas},
  journal={arXiv preprint arXiv:2311.11772},
  year={2023}
}

@inproceedings{Chung2024,
  title={AutoEncoder-Based Feature Transformation with Multiple Foundation Models in Computational Pathology},
  author={Chung, Woojin and Park, Yujun and Nam, Yonnho},
  booktitle={International Workshop on Foundation Models for General Medical AI},
  pages={40--49},
  year={2024},
  organization={Springer}
}

@article{Mohammed2023,
  title={A comprehensive review on ensemble deep learning: Opportunities and challenges},
  author={Mohammed, Ammar and Kora, Rania},
  journal={Journal of King Saud University-Computer and Information Sciences},
  volume={35},
  number={2},
  pages={757--774},
  year={2023},
  publisher={Elsevier}
}

@inproceedings{Farquhar2022,
  title={What 'Out-of-distribution' Is and Is Not},
  author={Farquhar, Sebastian and Gal, Yarin},
  booktitle={Neurips ml safety workshop},
  year={2022},
}

@article{Maruyama1989,
  title={Lymph node metastases of gastric cancer: general pattern in 1931 patients},
  author={Maruyama, Keiichi and Gunven, Peter and Okabayashi, Kenzo and Sasako, Mitsuro and Kinoshita, Taira},
  journal={Annals of surgery},
  volume={210},
  number={5},
  pages={596--602},
  year={1989},
  publisher={LWW}
}

@inproceedings{He2015D,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

@article{Dosovitskiy2020,
  title={An image is worth 16x16 words: Transformers for image recognition at scale},
  author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others},
  journal={arXiv preprint arXiv:2010.11929},
  year={2020}
}

@article{Brier1950,
  title={Verification of forecasts expressed in terms of probability},
  author={Brier, Glenn W},
  journal={Monthly weather review},
  volume={78},
  number={1},
  pages={1--3},
  year={1950}
}

@article{Lakshminarayanan2017,
  title={Simple and scalable predictive uncertainty estimation using deep ensembles},
  author={Lakshminarayanan, Balaji and Pritzel, Alexander and Blundell, Charles},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@article{Lu2021,
  title={Data-efficient and weakly supervised computational pathology on whole-slide images},
  author={Lu, Ming Y and Williamson, Drew FK and Chen, Tiffany Y and Chen, Richard J and Barbieri, Matteo and Mahmood, Faisal},
  journal={Nature biomedical engineering},
  volume={5},
  number={6},
  pages={555--570},
  year={2021},
  publisher={Nature Publishing Group UK London}
}