Fons van der Sommen

发表

Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2020, IEEE Access.

Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2018, Comput. Medical Imaging Graph..

Why rankings of biomedical image analysis competitions should be interpreted with care

Alejandro F. Frangi, Peter F. Neher, Aaron Carass, 2018, Nature Communications.

297 – Deep Learning Algorithm for Characterization of Barrett's Neoplasia Demonstrates High Accuracy on Nbi-Zoom Images

Joost van der Putten, Fons van der Sommen, Wouter L. Curvers, 2019 .

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

Fons van der Sommen, Peter H. N. de With, Erik J. Schoon, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2019, Medical Imaging.

Automatic assessment of informative frames in endoscopic video

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2018, Medical Imaging.

Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging

Fons van der Sommen, Peter H. N. de With, Caifeng Shan, 2019, Medical Imaging.

Early esophageal cancer detection using RF classifiers

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2016, SPIE Medical Imaging.

A novel clinical gland feature for detection of early Barrett’s neoplasia using volumetric laser endomicroscopy

Fons van der Sommen, Peter H. N. de With, Wouter L. Curvers, 2019, Medical Imaging.

Hyperspectral Imaging for Skin Feature Detection: Advances in Markerless Tracking for Spine Surgery

Fons van der Sommen, Marco Lai, Svitlana Zinger, 2020, Applied Sciences.

Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2020, Medical Imaging: Image Processing.

Proceedings of Workshop AEW10: Concepts in Information Theory and Communications pdf

Dirk Wübben, Mitsugu Iwamoto, Joost van der Putten, 2017, ArXiv.

Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2019, MLMI@MICCAI.

Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2019, Medical Imaging: Image Processing.

Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2017, Medical Imaging.

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

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2014, Neurocomputing.

Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2020, Comput. Medical Imaging Graph..

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

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2020, Sensors.

Ensemble of deep convolutional neural networks for classification of early Barrett’s neoplasia using volumetric laser endomicroscopy

Fons van der Sommen, Wouter L. Curvers, Jacques J. Bergman, 2019 .

Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Real-time semantic context labeling for image understanding

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Mo1163 ENDOSCOPY-DRIVEN ALGORITHM IDENTIFIES BARRETT NEOPLASIA WITH HIGH ACCURACY USING NBI-ZOOM VIDEOS: AN INTERNATIONAL MULTICENTER STUDY.

Joost van der Putten, Fons van der Sommen, Wouter L. Curvers, 2020 .

Endoscopy-Driven Pretraining for Classification of Dysplasia in Barrett’s Esophagus with Endoscopic Narrow-Band Imaging Zoom Videos

Joost van der Putten, Fons van der Sommen, Wouter L. Curvers, 2020, Applied Sciences.

Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach

Gustavo Marrero Callicó, Fons van der Sommen, Peter H. N. de With, 2020, Sensors.

Sweet-spot training for early esophageal cancer detection

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2016, SPIE Medical Imaging.

Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery

Fons van der Sommen, Peter H. N. de With, Esther Kho, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2013, VISAPP.

Deep Learning Biopsy Marking of Early Neoplasia in Barrett’s Esophagus by Combining WLE and BLI Modalities

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Influence of decoder size for binary segmentation tasks in medical imaging

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2020, Medical Imaging: Image Processing.

Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections

Fons van der Sommen, Peter H. N. de With, Daniel Ruijters, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks

Fons van der Sommen, Peter H. N. de With, Daniel Ruijters, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

A CNN CADx System for Multimodal Classification of Colorectal Polyps Combining WL, BLI, and LCI Modalities

Fons van der Sommen, Erik J. Schoon, Roger Fonolla, 2020, Applied Sciences.

Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures

Fons van der Sommen, Peter H. N. de With, Caifeng Shan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2016, SPIE Medical Imaging.

Bladder Cancer Segmentation on Multispectral Images

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2018, ICDSC.

Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study

Joost van der Putten, Fons van der Sommen, Peter H. N. de With, 2020, Artif. Intell. Medicine.

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

Fons van der Sommen, Peter H. N. de With, Erik J. Schoon, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Tu1962 - Improved Barrett's Neoplasia Detection Using Computer Assisted Multi-Frame Analysis of Volumetric Laser Endomicroscopy Images

Fons van der Sommen, Svitlana Zinger, Wouter L. Curvers, 2018 .

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

Fons van der Sommen, Peter H. N. de With, Erik J. Schoon, 2019, Medical Imaging.

Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery

Fons van der Sommen, Peter H. N. de With, Caifeng Shan, 2020, Sensors.

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

Fons van der Sommen, Peter H. N. de With, Svitlana Zinger, 2013, Medical Imaging.

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

Fons van der Sommen, Peter H. N. de With, Sharmila Subramaniam, 2021, Artif. Intell. Medicine.

On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis

Fons van der Sommen, Andrea Marinoni, Saloua Chlaily, 2021, CIKM Workshops.

237 Feasibility of a Computer Algorithm for Detection of Early Barrett's Neoplasia Using Volumetric Laser Endomicroscopy

Fons van der Sommen, Anne-Fré Swager, Wouter L. Curvers, 2016 .