Fons van der Sommen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
11
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models. | Francisco Caetano, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen |
| 2025 | ICCV | Zero-Shot Image Anomaly Detection Using Generative Foundation Models. | Lemar Abdi, M. M. Amaan Valiuddin, Francisco Caetano, Christiaan G. A. Viviers, Fons van der Sommen |
| 2025 | ICCV | MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation. | Francisco Caetano, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen |
| 2025 | ICCV | DisCoPatch: Taming Adversarially-Driven Batch Statistics for Improved Out-of-Distribution Detection. | Francisco Caetano, Christiaan G. A. Viviers, Luis Albert Zavala-Mondragn, Peter H. N. de With, Fons van der Sommen |
| 2025 | ICCV | WaveDamp: Enhancing Natural Robustness in Endoscopy Through Wavelet-Based Frequency Damping. | Haiko Middeljans, Carolus H. J. Kusters, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Floor Slooter, Albert Jeroen de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen |
| 2025 | MICCAI | Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories. | Lemar Abdi, Francisco Caetano, M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Hamdi Joudeh, Fons van der Sommen |
| 2025 | MICCAI | MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching. | Francisco Caetano, Lemar Abdi, Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Fons van der Sommen |
| 2025 | MICCAI | Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling. | Tim J. M. Jaspers, Francisco Caetano, Cris H. B. Claessens, Carolus H. J. Kusters, Haiko Middeljans, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Floor Slooter, Albert Jeroen de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen |
| 2025 | MICCAI | SemiVT-Surge: Semi-supervised Video Transformer for Surgical Phase Recognition. | Yiping Li, Ronald L. P. D. de Jong, Sahar Nasirihaghighi, Tim J. M. Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper, Richard van Hillegersberg, Fons van der Sommen, Jelle P. Ruurda, Marcel Breeuwer, Yasmina Al Khalil |
| 2025 | MICCAI | Spline-Based Shape Compression for Interventional Device Tracking. | Roman Pavelkin, Luis Albert Zavala-Mondragn, Ahmet Ekin, Fons van der Sommen |
| 2024 | CVPR | Evaluating Confidence Calibration in Endoscopic Diagnosis Models. | Nikoo Dehghani, Ayla Thijssen, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With |
| 2024 | ECCV | Find the Assembly Mistakes: Error Segmentation for Industrial Applications. | Dan Lehman, Tim J. Schoonbeek, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen |
| 2024 | ECCV | Can Your Generative Model Detect Out-of-Distribution Covariate Shift? | Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter H. N. de With, Fons van der Sommen |
| 2024 | ICASSP | Retaining Informative Latent Variables in Probabilistic Segmentation. | M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud van Sloun, Peter H. N. de With, Fons van der Sommen |
| 2024 | MICCAI | Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging. | Lemar Abdi, M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen |
| 2024 | MICCAI | Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning. | Cris H. B. Claessens, Eloy W. R. Schultz, Anna Koch, Ingrid Nies, Terese A. E. Hellstrm, Joost Nederend, Ilse Niers-Stobbe, Annemarie Bruining, Jurgen M. J. Piek, Peter H. N. de With, Fons van der Sommen |
| 2024 | MICCAI | Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision. | 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 |
| 2024 | MICCAI | Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia. | Carolus H. J. Kusters, T. G. W. Boers, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Albert Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With |
| 2024 | WACV | Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. | 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 J. N. Young, Xianling Zhang |
| 2024 | WACV | 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 |
| 2023 | MICCAI | 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 Jeroen de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen |
| 2023 | MICCAI | 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 Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With |
| 2023 | MICCAI | Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models. | Sanne E. Okel, Christiaan G. A. Viviers, Mark Ramaekers, Terese Hellstrm, Nick Tasios, Dimitrios Mavroeidis, Jon R. Pluyter, Igor Jacobs, Misha Luyer, Peter H. N. de With, Fons van der Sommen |
| 2023 | VR | 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 |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | 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 Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | 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 |
| 2021 | CIKM | 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 |
| 2021 | ICIP | 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 |
| 2021 | MICCAI | 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 |
| 2019 | ICIP | 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 |
| 2019 | ICIP | 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 |
| 2019 | MICCAI | 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 |
| 2018 | ICIP | 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 |
| 2018 | MICCAI | 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 Mller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein |
| 2017 | CBMS | Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. | Alexandros Rikos, Fons van der Sommen, Anne-Fr Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With |
| 2015 | ICIP | Real-time semantic context labeling for image understanding. | Martin A. R. Pieck, Fons van der Sommen, Svitlana Zinger, Peter H. N. de With |