Fons van der Sommen

According to our database, Fons van der Sommen authored at least 83 papers between 2013 and 2024.

Collaborative distances:

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

2024

Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries.

Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen

IEEE Trans. Image Process., 2024

IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting.

Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs.

Luis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen

IEEE Signal Process. Mag., November, 2023

Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

CoRR, 2023

A signal processing interpretation of noise-reduction convolutional neural networks.

Luis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen

CoRR, 2023

Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings.

Tim J. Schoonbeek, Hans Onvlee, Pierluigi Frisco, Peter H. N. de With, Fons van der Sommen

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models.

Sanne E. Okel, Christiaan G. A. Viviers, Mark Ramaekers, Terese Hellström, Nick Tasios, Dimitrios Mavroeidis, Jon R. Pluyter, Igor Jacobs, Misha Luyer, Peter H. N. de With, Fons van der Sommen

Proceedings of the Applications of Medical Artificial Intelligence, 2023

CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis.

Carolus H. J. Kusters, T. G. W. Boers, Tim J. M. Jaspers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Applications of Medical Artificial Intelligence, 2023

Investigating the Impact of Image Quality on Endoscopic AI Model Performance.

Tim J. M. Jaspers, Tim Boers, Carolus H. J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen

Proceedings of the Applications of Medical Artificial Intelligence, 2023

Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data.

Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen

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

Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network.

Carolus H. J. Kusters, T. G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

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

Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation.

Terese Hellström, Christiaan G. A. Viviers, Mark Ramaekers, Nick Tasios, Joost Nederend, Misha Luyer, Peter H. N. de With, Fons van der Sommen

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

Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration.

T. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

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

Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma.

Christiaan G. A. Viviers, Mark Ramaekers, M. M. Amaan Valiuddin, Terese Hellström, Nick Tasios, John van der Ven, Igor Jacobs, Lotte Ewals, Joost Nederend, Peter H. N. de With, Misha Luyer, Fons van der Sommen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks.

Luis Albert Zavala-Mondragón, Peter M. J. Rongen, Javier Oliván Bescós, Peter H. N. de With, Fons van der Sommen

IEEE Trans. Medical Imaging, 2022

Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data.

Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons van der Sommen, Peter H. N. de With

Mach. Vis. Appl., 2022

Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search.

Kurt Stolle, Sebastian Vogel, Fons van der Sommen, Willem P. Sanberg

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray.

Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features.

Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen

Proceedings of the Cancer Prevention Through Early Detection, 2022

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

Proceedings of the Cancer Prevention Through Early Detection, 2022

A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos.

Carolus H. J. Kusters, Tim Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Cancer Prevention Through Early Detection, 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

Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection.

T. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the Cancer Prevention Through Early Detection, 2022

Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task.

Fidan Mammadli, Fons van der Sommen, Tim Boers, Joost van der Putten, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jacques J. G. H. M. Bergman, Peter H. N. de With

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

Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT.

Luis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen

IEEE Trans. Image Process., 2021

Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

CoRR, 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

Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging.

Luis Albert Zavala-Mondragón, Klaus J. Engel, Bernd Menser, Danny Ruijters, Peter H. N. de With, Fons van der Sommen

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach.

Endi Selmanaj, Fons van der Sommen, Sanne E. Okel, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy.

Francesca Manni, Cyril J. Ferrer, Celine E. C. Vincent, Marco Lai, Lambertus W. Bartels, Clemens Bos, Fons van der Sommen, Peter H. N. de With

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach.

Francesca Manni, Chuchen Cai, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi Terander, Himar Fabelo, Samuel Ortega, Gustavo Marrero Callicó, Peter H. N. de With

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks.

Sanne E. Okel, Fons van der Sommen, Endi Selmanaj, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With

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

Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus.

Stefan Cornelissen, Joost A. van der Putten, T. G. W. Boers, Jelmer B. Jukema, Kiki N. Fockens, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content.

Koen C. Kusters, Luis Albert Zavala-Mondragón, Javier Oliván Bescós, Peter M. J. Rongen, Peter H. N. de With, Fons van der Sommen

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Catherine Taelman, Saloua Chlaily, Eduard Khachatrian, Fons van der Sommen, Andrea Marinoni

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020

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

Francesca Manni, Adrian Elmi Terander, Gustav Burström, Oscar Persson, Erik Edström, Ronald Holthuizen, Caifeng Shan, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With

Sensors, 2020

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

Francesca Manni, Fons van der Sommen, Himar Fabelo, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi Terander, Samuel Ortega, Gustavo Marrero Callicó, Peter H. N. de With

Sensors, 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

Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems.

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

IEEE Access, 2020

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

Luis Albert Zavala-Mondragón, Danny Ruijters, Peter van de Haar, Peter H. N. de With, Fons van der Sommen

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Influence of decoder size for binary segmentation tasks in medical imaging.

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

Proceedings of the Medical Imaging 2020: Image Processing, 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

The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning.

Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Peter H. N. de With

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 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

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

Luis Albert Zavala-Mondragón, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H. N. de With

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.

Francesca Manni, Roger Fonollá, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, Esther Kho, Susan G. Brouwer de Koning, Theo Ruers, Peter H. N. de With

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.

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

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

Francesca Manni, Fons van der Sommen, Sveta Zinger, Esther Kho, Susan G. Brouwer de Koning, Theo Ruers, Caifeng Shan, Jean Schleipen, Peter H. N. de With

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

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

J. van Kersbergen, Farhad Ghazvinian Zanjani, Sveta Zinger, Fons van der Sommen, Benjamin Balluff, D. R. Naomi Vos, Shane R. Ellis, Ron M. A. Heeren, Marit Lucas, Henk A. Marquering, Ivo G. H. Jansen, C. D. Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With

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.

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

Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks.

Farhad Ghazvinian Zanjani, Andreas Panteli, Svitlana Zinger, Fons van der Sommen, Tao Tan, Benjamin Balluff, D. R. Naomi Vos, Shane R. Ellis, Ron M. A. Heeren, Marit Lucas, Henk A. Marquering, Ivo G. H. Jansen, C. D. Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With

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.

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

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

Francesca Manni, Xin Liu, Ronald Holthuizen, Svitlana Zinger, Fons van der Sommen, Caifeng Shan, Marco Mamprin, Gustav Burström, Adrian Elmi Terander, Erik Edström, Peter H. N. de With

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.

Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider

CoRR, 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

How to Exploit Weaknesses in Biomedical Challenge Design and Organization.

Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma.

Joost van der Putten, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With, Mathias Prokop, John Hermans

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 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

Bladder Cancer Segmentation on Multispectral Images.

Joost van der Putten, Fons van der Sommen, Svitlana Zinger, Daniel M. de Bruin, Guido Kamphuis, Peter H. N. de With

Proceedings of the 12th International Conference on Distributed Smart Cameras, 2018

2017

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

Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane, Yanling Chen, Peter H. N. de With, Héla Gassara, Hamed Gharbi, Adel Ghazel, Khaled Grati, Naira M. Grigoryan, Ashot N. Harutyunyan, Masayuki Imanishi, Mitsugu Iwamoto, Ken-ichi Iwata, Hiroshi Kamabe, Brian M. Kurkoski, Shigeaki Kuzuoka, Patrick Langenhuizen, Jan Lewandowsky, Akiko Manada, Shigeki Miyake, Hiroyoshi Morita, Jun Muramatsu, Safa Najjar, Arnak V. Poghosyan, Fatma Rouissi, Yuta Sakai, Ulrich Tamm, Joost van der Putten, Fons van der Sommen, A. J. Han Vinck, Tadashi Wadayama, Dirk Wübben, Hirosuke Yamamoto

CoRR, 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

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

Fons van der Sommen, Sveta Zinger, Peter H. N. de With

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.

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

2015

Real-time semantic context labeling for image understanding.

Martin A. R. Pieck, Fons van der Sommen, Svitlana Zinger, Peter H. N. de With

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.

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