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Erik J. Schoon
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2020 – today
- 2024
- [c24]Nikoo Dehghani, Ayla Thijssen, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Evaluating Confidence Calibration in Endoscopic Diagnosis Models. CVPR Workshops 2024: 5020-5025 - 2023
- [c23]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:
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization. Computer-Aided Diagnosis 2023 - [c22]Thom Scheeve
How does image quality affect computer-aided diagnosis of colorectal polyps? Computer-Aided Diagnosis 2023 - 2022
- [c21]Koen C. Kusters, Thom Scheeve
Colorectal polyp classification using confidence-calibrated convolutional neural networks. Computer-Aided Diagnosis 2022 - [c20]Nikoo Dehghani, Thom Scheeve
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network. CaPTion@MICCAI 2022: 108-117 - 2021
- [j7]Roger Fonolla, Quirine E. W. van der Zander
Automatic image and text-based description for colorectal polyps using BASIC classification. Artif. Intell. Medicine 121: 102178 (2021) - [c19]Roger Fonolla, Maciej Smyl, Fons van der Sommen
Triplet network for classification of benign and pre-malignant polyps. Computer-Aided Diagnosis 2021 - 2020
- [j6]Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Tim Boers, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman
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) - [j5]Joost van der Putten, Maarten R. Struyvenberg, Jeroen de Groof, Thom Scheeve
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) - [j4]Joost van der Putten
Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks. Neural Comput. Appl. 32(14): 10705-10717 (2020) - [j3]Tim Boers, Joost van der Putten
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks. Sensors 20(15): 4133 (2020) - [c18]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities. Computer-Aided Diagnosis 2020 - [c17]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
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. Image Processing 2020: 1131315
2010 – 2019
- 2019
- [c16]Michelle C. A. van Grinsven, Thom Scheeve
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models. ICIP 2019: 210-214 - [c15]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models. ICIP 2019: 380-384 - [c14]Roger Fonollá, Fons van der Sommen
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation. ISBI 2019: 74-78 - [c13]Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI 2019: 1127-1131 - [c12]Thom Scheeve
A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy. Computer-Aided Diagnosis 2019: 109501Y - [c11]Thom Scheeve
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging. Computer-Aided Diagnosis 2019: 1095012 - [c10]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. MLMI@MICCAI 2019: 169-177 - [c9]Joost van der Putten, Fons van der Sommen
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. Image Processing 2019: 109492J - 2018
- [j2]Fons van der Sommen
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy. Comput. Medical Imaging Graph. 67: 9-20 (2018) - [c8]Sjors van Riel, Fons van der Sommen
Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning. ICIP 2018: 1383-1387 - 2017
- [c7]Alexandros Rikos, Fons van der Sommen
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. CBMS 2017: 708-713 - [c6]Sander Klomp
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. Computer-Aided Diagnosis 2017: 101340D - 2016
- [c5]Norbertus Christianus van Dongen, Fons van der Sommen
Automatic assessment of informative frames in endoscopic video. ISBI 2016: 119-122 - [c4]Markus H. A. Janse, Fons van der Sommen
Early esophageal cancer detection using RF classifiers. Computer-Aided Diagnosis 2016: 97851D - [c3]Fons van der Sommen
Sweet-spot training for early esophageal cancer detection. Computer-Aided Diagnosis 2016: 97851B - 2014
- [j1]Fons van der Sommen
Supportive automatic annotation of early esophageal cancer using local gabor and color features. Neurocomputing 144: 92-106 (2014) - 2013
- [c2]Fons van der Sommen
Computer-aided detection of early cancer in the esophagus using HD endoscopy images. Computer-Aided Diagnosis 2013: 86700V - [c1]Arnaud A. A. Setio, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With:
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy. VISAPP (1) 2013: 238-243
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