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README.md
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## 📚 Learn More
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- **GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy**
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*Gastroenterology (2025)* – [https://doi.org/10.1053/j.gastro.2025.07.030](https://doi.org/10.1053/j.gastro.2025.07.030)
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- **Foundation Models in Gastrointestinal Endoscopic AI: Impact of Architecture, Pre-training Approach and Data Efficiency**
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*Medical Image Analysis (2024)* – [https://doi.org/10.1016/j.media.2024.103298](https://doi.org/10.1016/j.media.2024.103298)
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## 📚 Learn More
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Highlighted publications:
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- **GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy**
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*Gastroenterology (2025)* – [https://doi.org/10.1053/j.gastro.2025.07.030](https://doi.org/10.1053/j.gastro.2025.07.030)
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- **Foundation Models in Gastrointestinal Endoscopic AI: Impact of Architecture, Pre-training Approach and Data Efficiency**
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*Medical Image Analysis (2024)* – [https://doi.org/10.1016/j.media.2024.103298](https://doi.org/10.1016/j.media.2024.103298)
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- **A deep learning system for detection of early Barrett's neoplasia: a model development and validation study**
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*The Lancet Digital Health (2023)* – [https://doi.org/10.1016/S2589-7500(23)00199-1](https://doi.org/10.1016/S2589-7500(23)00199-1)
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- **Deep-learning system detects neoplasia in patients with Barrett’s esophagus with high accuracy**
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*Gastroenterology (2019)* – [https://doi.org/10.1053/j.gastro.2019.11.030](https://doi.org/10.1053/j.gastro.2019.11.030)
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Latest publications:
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- **Evaluation of an improved computer-aided detection system for Barrett’s neoplasia in real-world imaging conditions**
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*Endoscopy (2025)* – [https://doi.org/10.1055/a-2642-7584](https://doi.org/10.1055/a-2642-7584)
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- **The development and ex vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy**
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*Endoscopy (2025)* – [https://doi.org/10.1055/a-2537-3510](https://doi.org/10.1055/a-2537-3510)
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- **Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems**
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*Endoscopy (2025)* – [https://doi.org/10.1055/a-2530-1845](https://doi.org/10.1055/a-2530-1845)
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- **Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real-World Imaging Conditions on Barrett’s Neoplasia Detection**
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*United European Gastroenterology Journal (2025)* – [https://doi.org/10.1002/ueg2.12760](https://doi.org/10.1002/ueg2.12760)
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- **Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization**
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*Medical Image Analysis (2025)* – [https://doi.org/10.1016/j.media.2024.103348](https://doi.org/10.1016/j.media.2024.103348)
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- **Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies**
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*Medical Image Analysis (2024)* – [https://doi.org/10.1016/j.media.2024.103157](https://doi.org/10.1016/j.media.2024.103157)
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