Wouter L. Curvers
According to our database1,
Wouter L. Curvers
authored at least 13 papers
between 2017 and 2020.
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Bibliography
2020
Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks.
Neural Comput. Appl., 2020
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy.
Comput. Medical Imaging Graph., 2020
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study.
Artif. Intell. Medicine, 2020
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities.
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.
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.
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.
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.
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.
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.
Comput. Medical Imaging Graph., 2018
2017
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017