Fons van der Sommen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 91

Top Topics

Endoscopic Video

Cancer Detection

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image-Guided Procedures

Publications

Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. WACV (2024)
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, Yiping Li, Romy C. van Jaarsveld, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. de With, Fons van der Sommen
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision. CoRR (2024)
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
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies. Medical Image Anal. 94 (2024)
Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. IEEE Trans. Image Process. 33 (2024)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud van Sloun, Peter H. N. de With, Fons van der Sommen
Retaining Informative Latent Variables in Probabilistic Segmentation. ICASSP (2024)
Marissa Ramirez de Chanlatte, Phillip Colella, Trevor Darrell, Alexandra Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. WACV (Workshops) (2024)
Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. CoRR (2024)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. CoRR (2023)
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
How does image quality affect computer-aided diagnosis of colorectal polyps? Medical Imaging: Computer-Aided Diagnosis (2023)
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
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. CoRR (2023)
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
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis. AMAI@MICCAI (2023)
Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. CoRR (2023)
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
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models. AMAI@MICCAI (2023)
Tim J. Schoonbeek, Hans Onvlee, Pierluigi Frisco, Peter H. N. de With, Fons van der Sommen
Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings. VRW (2023)
Terese Hellström, Christiaan G. A. Viviers, Mark Ramaekers, Nick Tasios, Joost Nederend, Misha Luyer, Peter H. N. de With, Fons van der Sommen
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation. Medical Imaging: Computer-Aided Diagnosis (2023)
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
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network. Medical Imaging: Computer-Aided Diagnosis (2023)
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. Medical Imaging: Computer-Aided Diagnosis (2023)
Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. Medical Imaging: Computer-Aided Diagnosis (2023)
Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. CoRR (2023)
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
Investigating the Impact of Image Quality on Endoscopic AI Model Performance. AMAI@MICCAI (2023)
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
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration. Medical Imaging: Computer-Aided Diagnosis (2023)
Luis A. Zavala-Mondragon, Peter H. N. de With, Fons van der Sommen
A signal processing interpretation of noise-reduction convolutional neural networks. CoRR (2023)
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
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. ICCV (Workshops) (2023)
Luis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen
A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs. IEEE Signal Process. Mag. 40 (7) (2023)
Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen
Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray. Medical Imaging: Image-Guided Procedures (2022)
Kurt Stolle, Sebastian Vogel, Fons van der Sommen, Willem P. Sanberg
Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search. ECML/PKDD (5) (2022)
Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. CoRR (2022)
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
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task. Medical Imaging: Computer-Aided Diagnosis (2022)
Luis A. Zavala-Mondragon, Peter M. J. Rongen, Javier Oliván Bescós, Peter H. N. de With, Fons van der Sommen
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks. IEEE Trans. Medical Imaging 41 (8) (2022)
Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray. CoRR (2022)
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
Colorectal polyp classification using confidence-calibrated convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis (2022)
Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. CaPTion@MICCAI (2022)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows. CoRR (2022)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. CaPTion@MICCAI (2022)
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
A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos. CaPTion@MICCAI (2022)
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
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection. CaPTion@MICCAI (2022)
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
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network. CaPTion@MICCAI (2022)
Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons van der Sommen, Peter H. N. de With
Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data. Mach. Vis. Appl. 33 (4) (2022)
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
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach. Medical Imaging: Image Processing (2021)
Roger Fonolla, Maciej Smyl, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With
Triplet network for classification of benign and pre-malignant polyps. Medical Imaging: Computer-Aided Diagnosis (2021)
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
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks. Medical Imaging: Computer-Aided Diagnosis (2021)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. UNSURE/PIPPI@MICCAI (2021)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. CoRR (2021)
Koen C. Kusters, Luis A. Zavala-Mondragon, Javier Oliván Bescós, Peter M. J. Rongen, Peter H. N. de With, Fons van der Sommen
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content. EMBC (2021)
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
Automatic image and text-based description for colorectal polyps using BASIC classification. Artif. Intell. Medicine 121 (2021)
Luis Albert Zavala-Mondragón, Klaus J. Engel, Bernd Menser, Danny Ruijters, Peter H. N. de With, Fons van der Sommen
Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging. Medical Imaging: Image Processing (2021)
Luis A. Zavala-Mondragon, Peter H. N. de With, Fons van der Sommen
Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT. IEEE Trans. Image Process. 30 (2021)
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
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach. Medical Imaging: Image-Guided Procedures (2021)
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
Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy. Medical Imaging: Image-Guided Procedures (2021)
S. Cornelissen, J. 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
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. ICIP (2021)
Catherine Taelman, Saloua Chlaily, Eduard Khachatrian, Fons van der Sommen, Andrea Marinoni
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis. CIKM Workshops (2021)
Joost van der Putten, Fons van der Sommen, Peter H. N. de With
Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems. IEEE Access 8 (2020)
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
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy. Comput. Medical Imaging Graph. 80 (2020)
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
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. Artif. Intell. Medicine 107 (2020)
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
Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks. Neural Comput. Appl. 32 (14) (2020)
Joost van der Putten, Fons van der Sommen, Peter H. N. de With
Influence of decoder size for binary segmentation tasks in medical imaging. Medical Imaging: Image Processing (2020)
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
Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery. EMBC (2020)
Luis A. Zavala-Mondragon, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H. N. de With
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections. ISBI (2020)
Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Peter H. N. de With
The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning. Medical Imaging: Computer-Aided Diagnosis (2020)
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
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach. Sensors 20 (23) (2020)
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
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks. Sensors 20 (15) (2020)
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
Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery. Sensors 20 (13) (2020)
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
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. Medical Imaging: Image Processing (2020)
Luis A. Zavala-Mondragon, Danny Ruijters, Peter van de Haar, Peter H. N. de With, Fons van der Sommen
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks. MLSP (2020)
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
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities. Medical Imaging: Computer-Aided Diagnosis (2020)
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
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks. Medical Imaging: Digital Pathology (2019)
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
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. MLMI@MICCAI (2019)
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
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks. ISBI (2019)
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
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. Medical Imaging: Image Processing (2019)
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
Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging. Medical Imaging: Image-Guided Procedures (2019)
Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Joep E. G. IJspeert, Evelien Dekker, Erik J. Schoon, Peter H. N. de With
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging. Medical Imaging: Computer-Aided Diagnosis (2019)
Roger Fonollá, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation. ISBI (2019)
Michelle C. A. van Grinsven, Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Erik J. Schoon, Peter H. N. de With
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models. ICIP (2019)
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
Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures. EMBC (2019)
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
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI (2019)
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
A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy. Medical Imaging: Computer-Aided Diagnosis (2019)
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
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models. ICIP (2019)
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
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy. Comput. Medical Imaging Graph. 67 (2018)
Joost van der Putten, Fons van der Sommen, Svitlana Zinger, Daniel M. de Bruin, Guido Kamphuis, Peter H. N. de With
Bladder Cancer Segmentation on Multispectral Images. ICDSC (2018)
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
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) (2018)
Joost van der Putten, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With, Mathias Prokop, John Hermans
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma. Medical Imaging: Computer-Aided Diagnosis (2018)
Sjors Van Riel, Fons van der Sommen, Sveta Zinger, Erik J. Schoon, Peter H. N. de With
Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning. ICIP (2018)
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
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR (2018)
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
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications. CoRR (2017)
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
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. Medical Imaging: Computer-Aided Diagnosis (2017)
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
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. CBMS (2017)
Markus H. A. Janse, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
Early esophageal cancer detection using RF classifiers. Medical Imaging: Computer-Aided Diagnosis (2016)
Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
Sweet-spot training for early esophageal cancer detection. Medical Imaging: Computer-Aided Diagnosis (2016)
Fons van der Sommen, Sveta Zinger, Peter H. N. de With
Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry. Medical Imaging: Image-Guided Procedures (2016)
Norbertus Christianus van Dongen, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
Automatic assessment of informative frames in endoscopic video. ISBI (2016)
Martin A. R. Pieck, Fons van der Sommen, Svitlana Zinger, Peter H. N. de With
Real-time semantic context labeling for image understanding. ICIP (2015)
Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
Supportive automatic annotation of early esophageal cancer using local gabor and color features. Neurocomputing 144 (2014)
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)
Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
Computer-aided detection of early cancer in the esophagus using HD endoscopy images. Medical Imaging: Computer-Aided Diagnosis (2013)