Jeroen de Groof

According to our database, Jeroen de Groof authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

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, 2023

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

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

The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning.

Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Peter H. N. de With

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

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