Carolus H. J. Kusters

According to our database, Carolus H. J. Kusters authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Scaling up self-supervised learning for improved surgical foundation models.

Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yiping Li, Carolus H. J. Kusters, Franciscus H. A. Bakker, Romy C. van Jaarsveld, Gino M. Kuiper, Richard van Hillegersberg, Jelle P. Ruurda, Willem M. Brinkman, Josien P. W. Pluim, Peter H. N. de With, Marcel Breeuwer, Yasmina Al Khalil, Fons van der Sommen

CoRR, January, 2025

Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization.

Carolus H. J. Kusters, Tim J. M. Jaspers, T. G. W. Boers, Martijn R. Jong, Jelmer B. Jukema, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Medical Image Anal., 2025

Designing a Computer-Aided Detection system for Barrett 's neoplasia: Insights in architectural choices, training strategies and inference approaches.

Carolus H. J. Kusters, Tim Boers, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Jelmer B. Jukema, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Comput. Methods Programs Biomed., 2025

Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling.

Tim J. M. Jaspers, Francisco Caetano, Cris H. B. Claessens, Carolus H. J. Kusters, Haiko Middeljans, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Floor Slooter, Albert Jeroen de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen

Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025

2024

Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies.

Tim J. M. Jaspers, Tim Boers, Carolus H. J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen

Medical Image Anal., 2024

Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency.

Tim Boers, Kiki N. Fockens, Joost A. van der Putten, Tim J. M. Jaspers, Carolus H. J. Kusters, Jelmer B. Jukema, Martijn R. Jong, Maarten R. Struyvenberg, Jeroen de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen

Medical Image Anal., 2024

Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia.

Carolus H. J. Kusters, T. G. W. Boers, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision.

Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, Yiping Li, Romy C. van Jaarsveld, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. de With, Fons van der Sommen

Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

2023

CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis.

Carolus H. J. Kusters, T. G. W. Boers, Tim J. M. Jaspers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Applications of Medical Artificial Intelligence, 2023

Investigating the Impact of Image Quality on Endoscopic AI Model Performance.

Tim J. M. Jaspers, Tim Boers, Carolus H. J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen

Proceedings of the Applications of Medical Artificial Intelligence, 2023

Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network.

Carolus H. J. Kusters, T. G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration.

T. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos.

Carolus H. J. Kusters, Tim Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Cancer Prevention Through Early Detection, 2022

Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection.

T. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Cancer Prevention Through Early Detection, 2022