Erik J. Schoon

According to our database, Erik J. Schoon authored at least 30 papers between 2013 and 2023.

Collaborative distances:

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

2023

How does image quality affect computer-aided diagnosis of colorectal polyps?

Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization.

Nikoo Dehghani, Thom Scheeve, T. G. W. Boers, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network.

Nikoo Dehghani, Thom Scheeve, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With

Proceedings of the Cancer Prevention Through Early Detection, 2022

Colorectal polyp classification using confidence-calibrated convolutional neural networks.

Koen C. Kusters, Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With

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

2021

Automatic image and text-based description for colorectal polyps using BASIC classification.

Roger Fonolla, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Sharmila Subramaniam, Pradeep Bhandari, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With

Artif. Intell. Medicine, 2021

Triplet network for classification of benign and pre-malignant polyps.

Roger Fonolla, Maciej Smyl, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With

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

Computer-aided classification of colorectal polyps using blue-light and linked-color imaging.

Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Joep E. G. IJspeert, Evelien Dekker, Erik J. Schoon, Peter H. N. de With

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

Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation.

Roger Fonollá, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, 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

Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models.

Michelle C. A. van Grinsven, Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Erik J. Schoon, 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

Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning.

Sjors van Riel, Fons van der Sommen, Sveta Zinger, Erik J. Schoon, Peter H. N. de With

Proceedings of the 2018 IEEE International Conference on Image Processing, 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

2016

Sweet-spot training for early esophageal cancer detection.

Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Early esophageal cancer detection using RF classifiers.

Markus H. A. Janse, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Automatic assessment of informative frames in endoscopic video.

Norbertus Christianus van Dongen, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014

Supportive automatic annotation of early esophageal cancer using local gabor and color features.

Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With

Neurocomputing, 2014

2013

Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy.

Arnaud A. A. Setio, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With

Proceedings of the VISAPP 2013, 2013

Computer-aided detection of early cancer in the esophagus using HD endoscopy images.

Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013