Jelmer B. Jukema

12 papers B 1Journal 4Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Designing a Computer-Aided Detection system for Barrett 's neoplasia: Insights in architectural choices, training strategies and inference approaches. Comput. Methods Programs Biomed. 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
2025	J	`jnl`	Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization. Medical Image Anal. 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
2024	J	`jnl`	Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency. Medical Image Anal. 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
2024	J	`jnl`	Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies. Medical Image Anal. 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
2023	—	`conf`	Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration. Computer-Aided Diagnosis 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
2023	—	`conf`	CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis. AMAI@MICCAI 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
2023	—	`conf`	Investigating the Impact of Image Quality on Endoscopic AI Model Performance. AMAI@MICCAI 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
2023	—	`conf`	Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network. Computer-Aided Diagnosis 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
2022	—	`conf`	A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos. CaPTion@MICCAI 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
2022	—	`conf`	Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection. CaPTion@MICCAI 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
2022	—	`conf`	Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task. Computer-Aided Diagnosis 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
2021	B	`conf`	Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. ICIP 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