README.md

<h1 align="center">🧠 The BONS-AI Consortium</h1>

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  <img src="Bonsai_full.png" alt="BONS-AI Consortium Logos" width="80%">
  <br>
  <em>Partner institutions of the BONS-AI Consortium.</em>
</p>

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## 🌍 About Us

The **BONS-AI Consortium** is an international research collaboration focused on advancing artificial intelligence in gastrointestinal endoscopy.  

The consortium consists of **15 tertiary referral centers** specializing in the management of **early Barrett’s neoplasia**, coordinated by:

- **Amsterdam University Medical Center (AUMC)**  
- **Eindhoven University of Technology (TU/e)**  

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## 📚 Learn More

Highlighted publications:

- **GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy**  
  *Gastroenterology (2025)* – [https://doi.org/10.1053/j.gastro.2025.07.030](https://doi.org/10.1053/j.gastro.2025.07.030)

- **Foundation Models in Gastrointestinal Endoscopic AI: Impact of Architecture, Pre-training Approach and Data Efficiency**  
  *Medical Image Analysis (2024)* – [https://doi.org/10.1016/j.media.2024.103298](https://doi.org/10.1016/j.media.2024.103298)

- **A deep learning system for detection of early Barrett's neoplasia: a model development and validation study**  
  *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)

- **Deep-learning system detects neoplasia in patients with Barrett’s esophagus with high accuracy**  
  *Gastroenterology (2019)* – [https://doi.org/10.1053/j.gastro.2019.11.030](https://doi.org/10.1053/j.gastro.2019.11.030)


Latest publications:
- **Evaluation of an improved computer-aided detection system for Barrett’s neoplasia in real-world imaging conditions**  
  *Endoscopy (2025)* – [https://doi.org/10.1055/a-2642-7584](https://doi.org/10.1055/a-2642-7584)

- **The development and ex vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy**  
  *Endoscopy (2025)* – [https://doi.org/10.1055/a-2537-3510](https://doi.org/10.1055/a-2537-3510)

- **Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems**  
  *Endoscopy (2025)* – [https://doi.org/10.1055/a-2530-1845](https://doi.org/10.1055/a-2530-1845)

- **Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real-World Imaging Conditions on Barrett’s Neoplasia Detection**  
  *United European Gastroenterology Journal (2025)* – [https://doi.org/10.1002/ueg2.12760](https://doi.org/10.1002/ueg2.12760)

- **Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization**  
  *Medical Image Analysis (2025)* – [https://doi.org/10.1016/j.media.2024.103348](https://doi.org/10.1016/j.media.2024.103348)

- **Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies**  
  *Medical Image Analysis (2024)* – [https://doi.org/10.1016/j.media.2024.103157](https://doi.org/10.1016/j.media.2024.103157)




<p align="center"><em>© 2025 The BONS-AI Consortium. All rights reserved.</em></p>