Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. - T. G. W. Boers; Joost van der Putten; Jeroen de Groof; Maarten R. Struyvenberg; Kiki Fockens; Wouter L. Curvers; Erik J. Schoon; Fons van der Sommen; Jacques J. Bergman; Peter H. N. de With (Image Processing, 2020)

Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. - Joost van der Putten; Jeroen de Groof; Maarten R. Struyvenberg; Tim Boers; Kiki Fockens; Wouter L. Curvers; Erik J. Schoon; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (Artif. Intell. Medicine, 2020)

Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks. - Tim Boers; Joost van der Putten; Maarten R. Struyvenberg; Kiki Fockens; Jelmer Jukema; Erik J. Schoon; Fons van der Sommen; Jacques J. Bergman; Peter H. N. de With (Sensors, 2020)

Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. - Stefan Cornelissen; Joost A. van der Putten; T. G. W. Boers; Jelmer B. Jukema; Kiki N. Fockens; Jacques J. G. H. M. Bergman; Fons van der Sommen; Peter H. N. de With (ICIP, 2021)

Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task. - Fidan Mammadli; Fons van der Sommen; Tim Boers; Joost van der Putten; Kiki N. Fockens; Jelmer B. Jukema; Martijn R. Jong; Jacques J. G. H. M. Bergman; Peter H. N. de With (Computer-Aided Diagnosis, 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 (CaPTion@MICCAI, 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 (CaPTion@MICCAI, 2022)

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 (Computer-Aided Diagnosis, 2023)

Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization. - Nikoo Dehghani; Thom Scheeve; T. G. W. Boers; Quirine E. W. van der Zander; Ayla Thijssen; Ramon-Michel Schreuder; Ad A. M. Masclee; Erik J. Schoon; Fons van der Sommen; Peter H. N. de With (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 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 (AMAI@MICCAI, 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 (AMAI@MICCAI, 2023)

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 (CaPTion@MICCAI, 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)

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)

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)

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)