Fons van der Sommen

According to our database1, Fons van der Sommen authored at least 39 papers between 2013 and 2020.

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Bibliography

2020
Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery.
Sensors, 2020

Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks.
Sensors, 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

Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems.
IEEE Access, 2020

Influence of decoder size for binary segmentation tasks in medical imaging.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks.
Proceedings of the Medical Imaging 2019: Digital Pathology, 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

Computer-aided classification of colorectal polyps using blue-light and linked-color imaging.
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.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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

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

Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018

Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy.
Comput. Medical Imaging Graph., 2018


Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Bladder Cancer Segmentation on Multispectral Images.
Proceedings of the 12th International Conference on Distributed Smart Cameras, 2018

2017
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications.
CoRR, 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

2016
Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Sweet-spot training for early esophageal cancer detection.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Early esophageal cancer detection using RF classifiers.
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.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Real-time semantic context labeling for image understanding.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Supportive automatic annotation of early esophageal cancer using local gabor and color features.
Neurocomputing, 2014

2013
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy.
Proceedings of the VISAPP 2013, 2013

Computer-aided detection of early cancer in the esophagus using HD endoscopy images.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013


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