@inproceedings{jha2023gastrovision,
  title={Gastrovision: A multi-class endoscopy image dataset for computer aided gastrointestinal disease detection},
  author={Jha, Debesh and Sharma, Vanshali and Dasu, Neethi and Tomar, Nikhil Kumar and Hicks, Steven and Bhuyan, Manas Kamal and Das, Pradip K and Riegler, Michael A and Halvorsen, P{\aa}l and Bagci, Ulas and others},
  booktitle={Workshop on machine learning for multimodal healthcare data},
  pages={125--140},
  year={2023},
  organization={Springer}
}

@article{borgli2020hyperkvasir,
  title={HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy},
  author={Borgli, Hanna and Thambawita, Vajira and Smedsrud, Pia H and Hicks, Steven and Jha, Debesh and Eskeland, Sigrun L and Randel, Kristin Ranheim and Pogorelov, Konstantin and Lux, Mathias and Nguyen, Duc Tien Dang and others},
  journal={Scientific data},
  volume={7},
  number={1},
  pages={283},
  year={2020},
  publisher={Nature Publishing Group UK London}
}

@misc{cychnerski2022ers,
 title={ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification},
 author={Cychnerski, Jan and Dziubich, Tomasz and Brzeski, Adam},
 OPTeprinttype={arXiv},
 OPTeprint={2201.08746},
 howpublished={Eprint \href{http://arxiv.org/abs/2201.08746}{arXiv:2201.08746}},
 OPTurl={http://arxiv.org/abs/2201.08746},
 year={2022}
}

@article{jong2025gastronet,
  title={GastroNet-5M: A multicenter dataset for developing foundation models in gastrointestinal endoscopy},
  author={Jong, Martijn R and Boers, Tim GW and Fockens, Kiki N and Jukema, Jelmer B and Kusters, Carolus HJ and Jaspers, Tim JM and van Heslinga, RAH van Eijck and Slooter, Floor C and Struyvenberg, Maarten R and Bisschops, Raf and others},
  journal={Gastroenterology},
  year={2025},
  publisher={Elsevier}
}

@article{boers2024foundation,
  title={Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency},
  author={Boers, Tim GW and Fockens, Kiki N and van der Putten, Joost A and Jaspers, Tim JM and Kusters, Carolus HJ and Jukema, Jelmer B and Jong, Martijn R and Struyvenberg, Maarten R and de Groof, Jeroen and Bergman, Jacques J and others},
  journal={Medical Image Analysis},
  volume={98},
  pages={103298},
  year={2024},
  publisher={Elsevier}
}

@misc{dermyer2025endodino,
    title={Endodino: A foundation model for gi endoscopy},
    author={Dermyer, Patrick and Kalra, Angad and Schwartz, Matt},
    OPTeprinttype={arXiv},
    OPTeprint={2501.05488},
    howpublished={Eprint \href{http://arxiv.org/abs/2501.05488}{arXiv:2501.05488}},
    OPTurl={http://arxiv.org/abs/2501.05488},
    year={2025}
}

@article{wang2025improving,
  title={Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences},
  author={Wang, Zhao and Liu, Chang and Zhu, Lingting and Wang, Tongtong and Zhang, Shaoting and Dou, Qi},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2025},
  publisher={IEEE}
}

@article{ma2025development,
  title={Development and validation of an AI foundation model for endoscopic diagnosis of esophagogastric junction adenocarcinoma: a cohort and deep learning study},
  author={Ma, Yikun and Li, Bo and Chen, Ying and Yue, Zijie and Xu, Shuchang and Li, Jingyao and Ma, Lei and Zhong, Liang and Zou, Duowu and Xu, Leiming and others},
  journal={EClinicalMedicine},
  volume={89},
  year={2025},
  publisher={Elsevier}
}

@article{batic2024endovit,
  title={EndoViT: pretraining vision transformers on a large collection of endoscopic images},
  author={Bati{\'c}, Dominik and Holm, Felix and {\"O}zsoy, Ege and Czempiel, Tobias and Navab, Nassir},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  volume={19},
  number={6},
  pages={1085--1091},
  year={2024},
  publisher={Springer}
}

@misc{devkota2025federated,
    title={Federated Foundation Model for GI Endoscopy Images},
    author={Devkota, Alina and Amireskandari, Annahita and Palko, Joel and Thakkar, Shyam and Adjeroh, Donald and Jiang, Xiajun and Bhattarai, Binod and Gyawali, Prashnna K},
    OPTeprinttype={arXiv},
    OPTeprint={2505.24108},
    howpublished={Eprint \href{http://arxiv.org/abs/2505.24108}{arXiv:2505.24108}},
    OPTurl={http://arxiv.org/abs/2505.24108},
    year={2025}
}

@inproceedings{caron2021emerging,
  title={Emerging properties in self-supervised vision transformers},
  author={Caron, Mathilde and Touvron, Hugo and Misra, Ishan and J{\'e}gou, Herv{\'e} and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={9650--9660},
  year={2021}
}

@article{oquab2024dinov,
    title={{DINO}v2: Learning Robust Visual Features without Supervision},
    author={Maxime Oquab and Timoth{\'e}e Darcet and Th{\'e}o Moutakanni and Huy V. Vo and Marc Szafraniec and Vasil Khalidov and Pierre Fernandez and Daniel HAZIZA and Francisco Massa and Alaaeldin El-Nouby and Mido Assran and Nicolas Ballas and Wojciech Galuba and Russell Howes and Po-Yao Huang and Shang-Wen Li and Ishan Misra and Michael Rabbat and Vasu Sharma and Gabriel Synnaeve and Hu Xu and Herve Jegou and Julien Mairal and Patrick Labatut and Armand Joulin and Piotr Bojanowski},
    journal={Transactions on Machine Learning Research},
    issn={2835-8856},
    year={2024},
}

@misc{simeoni2025dinov3,
    title={Dinov3},
    author={Sim{\'e}oni, Oriane and Vo, Huy V and Seitzer, Maximilian and Baldassarre, Federico and Oquab, Maxime and Jose, Cijo and Khalidov, Vasil and Szafraniec, Marc and Yi, Seungeun and Ramamonjisoa, Micha{\"e}l and others},
    OPTeprinttype={arXiv},
    OPTeprint={2508.10104},
    howpublished={Eprint \href{http://arxiv.org/abs/2508.10104}{arXiv:2508.10104}},
    OPTurl={http://arxiv.org/abs/2508.10104},
    year={2025}
}


@inproceedings{hou2021diagnosis,
  title={Diagnosis of Esophagitis Based on Deep Learning},
  author={Hou, Yuling and Diao, Luhong and Lu, Na and Li, Ying and Qiao, Yong},
  booktitle={2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)},
  pages={374--379},
  year={2021},
  organization={IEEE}
}

@article{silveira2022recognition,
  title={Recognition of esophagitis in endoscopic images using transfer learning},
  author={Silveira, Elena Caires and Corr{\^e}a, Caio Fellipe Santos and Silva, Leonardo Madureira and Santos, Bruna Almeida and Pretti, Soraya Mattos and de Melo, Fabr{\'\i}cio Freire},
  journal={World Journal of Gastrointestinal Endoscopy},
  volume={14},
  number={5},
  pages={311},
  year={2022}
}

@article{dheir2022DHECOA,
	author = {Ibtesam M. Dheir and Samy S. Abu{-}Naser},
	journal = {International Journal of Academic Engineering Research (IJAER)},
	number = {3},
	pages = {15--28},
	title = {Classification of Anomalies in Gastrointestinal Tract Using Deep Learning},
	volume = {6},
	year = {2022}
}

@article{guimaraes2022deep,
  title={Deep learning-based detection of eosinophilic esophagitis},
  author={Guimar{\~a}es, Pedro and Keller, Andreas and Fehlmann, Tobias and Lammert, Frank and Casper, Markus},
  journal={Endoscopy},
  volume={54},
  number={03},
  pages={299--304},
  year={2022},
  publisher={Georg Thieme Verlag KG}
}

@article{okimoto2022application,
  title={Application of convolutional neural networks for diagnosis of eosinophilic esophagitis based on endoscopic imaging},
  author={Okimoto, Eiko and Ishimura, Norihisa and Adachi, Kyoichi and Kinoshita, Yoshikazu and Ishihara, Shunji and Tada, Tomohiro},
  journal={Journal of Clinical Medicine},
  volume={11},
  number={9},
  pages={2529},
  year={2022},
  publisher={MDPI}
}

@article{rommele2022artificial,
  title={An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis},
  author={R{\"o}mmele, Christoph and Mendel, Robert and Barrett, Caroline and Kiesl, Hans and Rauber, David and R{\"u}ckert, Tobias and Kraus, Lisa and Heinkele, Jakob and Dhillon, Christine and Grosser, Bianca and others},
  journal={Scientific reports},
  volume={12},
  number={1},
  pages={11115},
  year={2022},
  publisher={Nature Publishing Group UK London}
}

@misc{yoshiok2023deep,
    title={Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset},
    author={Yoshiok, Kyoka and Tanioka, Kensuke and Hiwa, Satoru and Hiroyasu, Tomoyuki},
    OPTeprinttype={arXiv},
    OPTeprint={2301.02390},
    howpublished={Eprint \href{http://arxiv.org/abs/2301.02390}{arXiv:2301.02390}},
    OPTurl={http://arxiv.org/abs/2301.02390},
    year={2023}
}

@article{yen2022improved,
  title={An improved endoscopic automatic classification model for gastroesophageal reflux disease using deep learning integrated machine learning},
  author={Yen, Hsu-Heng and Tsai, Hui-Yu and Wang, Chi-Chih and Tsai, Ming-Chang and Tseng, Ming-Hseng},
  journal={Diagnostics},
  volume={12},
  number={11},
  pages={2827},
  year={2022},
  publisher={MDPI}
}

@article{ge2023development,
  title={Development and validation of deep learning models for the multiclassification of reflux esophagitis based on the los angeles classification},
  author={Ge, Hailong and Zhou, Xin and Wang, Yu and Xu, Jian and Mo, Feng and Chao, Chen and Zhu, Jinzhou and Yu, Weixin},
  journal={Journal of Healthcare Engineering},
  volume={2023},
  number={1},
  pages={7023731},
  year={2023},
  publisher={Wiley Online Library}
}

@article{li2024uncertainty,
  title={Uncertainty-aware network for fine-grained and imbalanced reflux esophagitis grading},
  author={Li, Xingcun and Wu, Qinghua and Wang, Mi and Wu, Kun},
  journal={Computers in Biology and Medicine},
  volume={168},
  pages={107751},
  year={2024},
  publisher={Elsevier}
}

@article{mubarak2022classification,
  title={Classification of early stages of esophageal cancer using transfer learning},
  author={Mubarak, DMN and others},
  journal={Irbm},
  volume={43},
  number={4},
  pages={251--258},
  year={2022},
  publisher={Elsevier}
}

@inproceedings{khullar2023hybrid,
  title={Hybrid of DNN Feature Extraction and Ensemble Classification for Identification of Esophagitis and Barretts in Upper Gastrointestinal Tract Images},
  author={Khullar, Vikas and Veeramanickam, MRM and Muthukumarasamy, S and Prabha, Chander and Singh, Harjit Pal and Pavankumar, Vadrevu},
  booktitle={2023 International Conference on Computer, Electronics \& Electrical Engineering \& their Applications (IC2E3)},
  pages={1--7},
  year={2023},
  organization={IEEE}
}

@article{tang2022diagnosis,
  title={Diagnosis of esophageal lesions by multi-classification and segmentation using an improved multi-task deep learning model},
  author={Tang, Suigu and Yu, Xiaoyuan and Cheang, Chak-Fong and Hu, Zeming and Fang, Tong and Choi, I-Cheong and Yu, Hon-Ho},
  journal={Sensors},
  volume={22},
  number={4},
  pages={1492},
  year={2022},
  publisher={MDPI}
}

@inproceedings{singh2024efficientnet,
  title={EfficientNet-B4 Based Deep Learning Approach for Accurate Detection of Gastrointestinal Disorders},
  author={Singh, Retinderdeep and Sharma, Neha},
  booktitle={2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit)},
  pages={370--375},
  year={2024},
  organization={IEEE}
}

@article{zubair2024enhancing,
  title={Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques},
  author={Zubair Rahman, AMJ MD and Mythili, R and Chokkanathan, K and Mahesh, TR and Vanitha, K and Yimer, Temesgen Engida},
  journal={BMC Medical Imaging},
  volume={24},
  number={1},
  pages={306},
  year={2024},
  publisher={Springer}
}

@inproceedings{krenzer2025classification,
  title={Classification of Gastroscopy Images Under Extreme Class Imbalance: A Deep Learning Pipeline},
  author={Krenzer, Adrian and Friedetzki, Tobias and Dietsch, Max and Puppe, Frank},
  booktitle={Annual Conference on Medical Image Understanding and Analysis},
  pages={276--292},
  year={2025},
  organization={Springer}
}

@inproceedings{he2020momentum,
  title={Momentum contrast for unsupervised visual representation learning},
  author={He, Kaiming and Fan, Haoqi and Wu, Yuxin and Xie, Saining and Girshick, Ross},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={9729--9738},
  year={2020}
}

@inproceedings{
  zhou2022image,
  title={Image {BERT} Pre-training with Online Tokenizer},
  author={Jinghao Zhou and Chen Wei and Huiyu Wang and Wei Shen and Cihang Xie and Alan Yuille and Tao Kong},
  booktitle={International Conference on Learning Representations},
  year={2022},
}

@article{perez2025exploring,
  title={Exploring scalable medical image encoders beyond text supervision},
  author={Perez-Garcia, Fernando and Sharma, Harshita and Bond-Taylor, Sam and Bouzid, Kenza and Salvatelli, Valentina and Ilse, Maximilian and Bannur, Shruthi and Castro, Daniel C and Schwaighofer, Anton and Lungren, Matthew P and others},
  journal={Nature Machine Intelligence},
  volume={7},
  number={1},
  pages={119--130},
  year={2025},
  publisher={Nature Publishing Group UK London}
}

@inproceedings{wang2023foundation,
  title={Foundation model for endoscopy video analysis via large-scale self-supervised pre-train},
  author={Wang, Zhao and Liu, Chang and Zhang, Shaoting and Dou, Qi},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={101--111},
  year={2023},
  organization={Springer}
}

@article{chen2020big,
  title={Big self-supervised models are strong semi-supervised learners},
  author={Chen, Ting and Kornblith, Simon and Swersky, Kevin and Norouzi, Mohammad and Hinton, Geoffrey E},
  journal={Advances in neural information processing systems},
  volume={33},
  pages={22243--22255},
  year={2020}
}

@article{muir2021eosinophilic,
  title={Eosinophilic esophagitis: a review},
  author={Muir, Amanda and Falk, Gary W},
  journal={Jama},
  volume={326},
  number={13},
  pages={1310--1318},
  year={2021},
  publisher={American Medical Association}
}

@article{vakil2006montreal,
  title={The Montreal definition and classification of gastroesophageal reflux disease: a global evidence-based consensus},
  author={Vakil, Nimish and Van Zanten, Sander V and Kahrilas, Peter and Dent, John and Jones, Roger and Global Consensus Group and others},
  journal={Official journal of the American College of Gastroenterology| ACG},
  volume={101},
  number={8},
  pages={1900--1920},
  year={2006},
  publisher={LWW}
}

@article{sharma2022barrett,
  title={Barrett esophagus: a review},
  author={Sharma, Prateek},
  journal={Jama},
  volume={328},
  number={7},
  pages={663--671},
  year={2022},
  publisher={American Medical Association}
}

@article{souza2016reflux,
  title={From reflux esophagitis to esophageal adenocarcinoma},
  author={Souza, Rhonda F},
  journal={Digestive diseases},
  volume={34},
  number={5},
  pages={483--490},
  year={2016},
  publisher={S. Karger AG}
}

@article{zografos2009drug,
  title={Drug-induced esophagitis},
  author={Zografos, GN and Georgiadou, D and Thomas, D and Kaltsas, G and Digalakis, M},
  journal={Diseases of the Esophagus},
  volume={22},
  number={8},
  pages={633--637},
  year={2009},
  publisher={Oxford University Press}
}

@article{bytzer1993interobserver,
  title={Interobserver variation in the endoscopic diagnosis of reflux esophagitis},
  author={Bytzer, P and Havelund, T and Hansen, J Moller},
  journal={Scandinavian journal of gastroenterology},
  volume={28},
  number={2},
  pages={119--125},
  year={1993},
  publisher={Taylor \& Francis}
}

@misc{achiam2023gpt,
    title={Gpt-4 technical report},
    author={Achiam, Josh and Adler, Steven and Agarwal, Sandhini and Ahmad, Lama and Akkaya, Ilge and Aleman, Florencia Leoni and Almeida, Diogo and Altenschmidt, Janko and Altman, Sam and Anadkat, Shyamal and others},
    OPTeprinttype={arXiv},
    OPTeprint={2303.08774},
    howpublished={Eprint \href{http://arxiv.org/abs/2303.08774}{arXiv:2303.08774}},
    OPTurl={http://arxiv.org/abs/2303.08774},
    year={2023}
}

@misc{touvron2023llama,
    title={Llama: Open and efficient foundation language models},
    author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and others},
    OPTeprinttype={arXiv},
    OPTeprint={2302.13971},
    howpublished={Eprint \href{http://arxiv.org/abs/2302.13971}{arXiv:2302.13971}},
    OPTurl={http://arxiv.org/abs/2302.13971},
    year={2023}
}