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In this work, we present EndoDINO, a foundation model for GI endoscopy tasks that achieves strong generalizability by pre-training on a well-curated image dataset sampled from the largest known GI endoscopy video dataset in the literature.
Indications and outcomes of gastrointestinal endoscopy, 2008
Constance E. Ruhl and James E. Everhart · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Use of artificial intelligence-based analytics from live colonoscopies to optimize the quality of the colonoscopy examination in real time: Proof of concept
Shyam Thakkar, Neil M. Carleton, Bharat Rao, and Aslam Syed · 2020
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Endoslam dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos: Endo-sfmlearner, 2020
Kutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Gulfize Coskun, Kagan Incetan, Yasin Almalioglu, Faisal Mahmood, Eva Curto, Luis Perdigoto, Marina Oliveira, Hasan Sahin, Helder Araujo, Henrique Alexandrino, Nicholas J. Durr, Hunter B. Gilbert, and Mehmet Turan · 2020
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HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
Hanna Borgli, Vajira Thambawita, Pia H Smedsrud, Steven Hicks, Debesh Jha, Sigrun L Eskeland, Kristin Ranheim Randel, Konstantin Pogorelov, Mathias Lux, Duc Tien Dang Nguyen, Dag Johansen, Carsten Griwodz, Håkon K Stensland, Enrique Garcia-Ceja, Peter T Schmidt, Hugo L Hammer, Michael A Riegler, Pål Halvorsen, and Thomas de Lange · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale, 2021
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial data
Benjamín Gutierrez Becker, Filippo Arcadu, Andreas Thalhammer, Citlalli Serna, Owen Feehan, Faye Drawnel, Young Oh, and Marco Prunotto · 2021
Earlier work this paper cites.
Vision transformers for dense prediction, 2021
René Ranftl, Alexey Bochkovskiy, and Vladlen Koltun · 2021
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Artificial intelligence in endoscopy
Yutaka Okagawa, Seiichiro Abe, Masayoshi Yamada, Ichiro Oda, and Yutaka Saito · 2022
Cited alongside, same era.
Scaling vision transformers, 2022
Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, and Lucas Beyer · 2022
Cited alongside, same era.
Improving the computer-aided estimation of ulcerative colitis severity according to mayo endoscopic score by using regression-based deep learning
Gorkem Polat, Haluk Tarik Kani, Ilkay Ergenc, Yesim Ozen Alahdab, Alptekin Temizel, and Ozlen Atug · 2022
Cited alongside, same era.
Randomized controlled trials evaluating ai in clinical practice: A scoping evaluation
Ryan Han, Julián N. Acosta, Zahra Shakeri, John P.A. Ioannidis, Eric J. Topol, and Pranav Rajpurkar · 2023
Cited alongside, same era.
Unsupervised segmentation of colonoscopy images, 2023
Heming Yao, Jérôme Lüscher, Benjamin Gutierrez Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, and David Richmond · 2023
Cited alongside, same era.
Rad-dino: Exploring scalable medical image encoders beyond text supervision, 2024
Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Matthew P. Lungren, Maria Wetscherek, Noel Codella, Stephanie L. Hyland, Javier Alvarez-Valle, and Ozan Oktay · 2024
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Virchow2: Scaling self-supervised mixed magnification models in pathology, 2024
Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, James Hall, David Klimstra, Razik Yousfi, Thomas Fuchs, Nicolo Fusi, Siqi Liu, and Kristen Severson · 2024
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Pluto: Pathology-universal transformer, 2024
Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Pokkalla, Andrew H. Beck, and Sean Grullon · 2024
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A study on self-supervised pretraining for vision problems in gastrointestinal endoscopy, 2024
Edward Sanderson and Bogdan J. Matuszewski · 2024
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Public imaging datasets of gastrointestinal endoscopy for artificial intelligence: a review
Shiqi Zhu, Jingwen Gao, Lu Liu, Minyue Yin, Jiaxi Lin, Chang Xu, Chunfang Xu, and Jinzhou Zhu · 2023
Cited alongside, same era.
Dinov2: Learning robust visual features without supervision, 2024
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski · 2024
Cited alongside, same era.
Advancing human-centric ai for robust x-ray analysis through holistic self-supervised learning, 2024
Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew Muckley, Maxime Oquab, Marie-Pierre Revel, and Maria Vakalopoulou · 2024
Cited alongside, same era.
Arges: Spatio-temporal transformer for ulcerative colitis severity assessment in endoscopy videos, 2024
Krishna Chaitanya, Pablo F. Damasceno, Shreyas Fadnavis, Pooya Mobadersany, Chaitanya Parmar, Emily Scherer, Natalia Zemlianskaia, Lindsey Surace, Louis R. Ghanem, Oana Gabriela Cula, Tommaso Mansi, and Kristopher Standish · 2024
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Foundation model for endoscopy video analysis via large-scale self-supervised pre-train, 2024
Zhao Wang, Chang Liu, Shaoting Zhang, and Qi Dou · 2024
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Automatic data curation for self-supervised learning: A clustering-based approach, 2024
Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, and Piotr Bojanowski · 2024
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