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Jacques J. Bergman
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2020 – today
- 2025
- [j8]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:
Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization. Medical Image Anal. 99: 103348 (2025) - 2024
- [j7]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:
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies. Medical Image Anal. 94: 103157 (2024) - [j6]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:
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency. Medical Image Anal. 98: 103298 (2024) - [c20]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:
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia. CaPTion@MICCAI 2024: 83-92 - 2023
- [c19]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:
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration. Medical Imaging: Computer-Aided Diagnosis 2023 - [c18]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:
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network. Medical Imaging: Computer-Aided Diagnosis 2023 - [c17]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:
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis. AMAI@MICCAI 2023: 21-31 - [c16]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:
Investigating the Impact of Image Quality on Endoscopic AI Model Performance. AMAI@MICCAI 2023: 32-41 - 2022
- [c15]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:
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task. Medical Imaging: Computer-Aided Diagnosis 2022 - [c14]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:
A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos. CaPTion@MICCAI 2022: 89-98 - [c13]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:
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection. CaPTion@MICCAI 2022: 131-138 - 2021
- [c12]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:
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. ICIP 2021: 66-70 - [c11]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:
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks. Medical Imaging: Computer-Aided Diagnosis 2021 - [c10]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:
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach. Medical Imaging: Image Processing 2021 - 2020
- [j5]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:
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. Artif. Intell. Medicine 107: 101914 (2020) - [j4]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:
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy. Comput. Medical Imaging Graph. 80: 101701 (2020) - [j3]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:
Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks. Neural Comput. Appl. 32(14): 10705-10717 (2020) - [j2]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:
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks. Sensors 20(15): 4133 (2020) - [c9]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:
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities. Medical Imaging: Computer-Aided Diagnosis 2020 - [c8]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:
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. Medical Imaging: Image Processing 2020: 1131315
2010 – 2019
- 2019
- [c7]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:
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models. ICIP 2019: 380-384 - [c6]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:
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI 2019: 1127-1131 - [c5]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:
A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy. Medical Imaging: Computer-Aided Diagnosis 2019: 109501Y - [c4]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:
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. MLMI@MICCAI 2019: 169-177 - [c3]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:
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. Medical Imaging: Image Processing 2019: 109492J - 2018
- [j1]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:
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy. Comput. Medical Imaging Graph. 67: 9-20 (2018) - 2017
- [c2]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:
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. CBMS 2017: 708-713 - [c1]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:
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. Medical Imaging: Computer-Aided Diagnosis 2017: 101340D
Coauthor Index
aka: Tim Boers
aka: Jelmer B. Jukema
aka: Joost A. van der Putten
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