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@@ -21,7 +21,7 @@ The consortium consists of **15 tertiary referral centers** specializing in the
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  ## 📚 Learn More
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- Our latest 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)
@@ -29,6 +29,32 @@ Our latest publications:
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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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+
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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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