Jacques J. Bergman

24 papers B 3Journal 8Unranked 13

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	—	`conf`	Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling. DEMI@MICCAI 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
2025	—	`conf`	WaveDamp: Enhancing Natural Robustness in Endoscopy Through Wavelet-Based Frequency Damping. ICCVW Haiko Middeljans, Carolus H. J. Kusters, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Floor Slooter, Albert J. de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen
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	—	`conf`	Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia. CaPTion@MICCAI 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
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
2020	B	`conf`	Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. Image Processing 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
2020	—	`conf`	First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities. Computer-Aided Diagnosis Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2020	J	`jnl`	Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks. Sensors 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
2020	J	`jnl`	Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks. Neural Comput. Appl. Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2020	J	`jnl`	Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. Artif. Intell. Medicine 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
2019	—	`conf`	Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun, Maarten R. Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2019	B	`conf`	Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models. ICIP Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2019	—	`conf`	Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. MLMI@MICCAI Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2018	J	`jnl`	Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy. Comput. Medical Imaging Graph. Fons van der Sommen, Sander Klomp, Anne-Fré Swager, Svitlana Zinger, Wouter L. Curvers, Jacques J. Bergman, Erik J. Schoon, Peter H. N. de With
2017	—	`conf`	Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. Computer-Aided Diagnosis Sander Klomp, Fons van der Sommen, Anne-Fré Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With
2017	B	`conf`	Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. CBMS Alexandros Rikos, Fons van der Sommen, Anne-Fré Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With