Jacques J. Bergman

According to our database, Jacques J. Bergman authored at least 28 papers between 2017 and 2025.

Collaborative distances:

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

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

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

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

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach.

Endi Selmanaj, Fons van der Sommen, Sanne E. Okel, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks.

Sanne E. Okel, Fons van der Sommen, Endi Selmanaj, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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

Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks.

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

Neural Comput. Appl., 2020

Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy.

Joost van der Putten, Maarten R. Struyvenberg, Jeroen de Groof, Thom Scheeve, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With, Fons van der Sommen

Comput. Medical Imaging Graph., 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

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

Proceedings of the Medical Imaging 2020: Image Processing, 2020

First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities.

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function.

Joost van der Putten, Fons van der Sommen, Maarten R. Struyvenberg, Jeroen de Groof, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus.

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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy.

Thom Scheeve, Maarten R. Struyvenberg, Wouter L. Curvers, Albert J. de Groof, Erik J. Schoon, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities.

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models.

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

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy.

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

Comput. Medical Imaging Graph., 2018

2017

Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging.

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting.

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

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017