PPaperPicks

Fons van der Sommen

Eindhoven University of Technology, Department of Electrical Engineering

17 papers at tracked venues · 6 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-3593-2356 ↗Homepage ↗

Venues

MICCAI ×9ICCV ×4ECCV ×2AAAI ×1CVPR ×1

Frequent coauthors

Peter H. N. de With
×12
Francisco Caetano
×8
Christiaan G. A. Viviers
×8
Lemar Abdi
×5
M. M. Amaan Valiuddin
×5
Tim J. M. Jaspers
×5
Carolus H. J. Kusters
×4
Martijn R. Jong
×3
Rixta A. H. van Eijck van Heslinga
×3
Albert Jeroen de Groof
×3
Jacques J. Bergman
×3
Luis Albert Zavala-Mondragón
×2

Papers

  1. Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models
    AAAI 2026 ·
    Francisco Caetano
    ,
    Christiaan G. A. Viviers
    ,
    Peter H. N. de With
    , Fons van der Sommen
  2. DisCoPatch: Taming Adversarially-Driven Batch Statistics for Improved Out-of-Distribution Detection
    ICCV 2025 ·
    Francisco Caetano
    ,
    Christiaan G. A. Viviers
    ,
    Luis Albert Zavala-Mondragón
    ,
    Peter H. N. de With
    , Fons van der Sommen
  3. MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation
    ICCV 2025 ·
    Francisco Caetano
    ,
    Christiaan G. A. Viviers
    ,
    Peter H. N. de With
    , Fons van der Sommen
  4. MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching
    MICCAI 2025 ·
    Francisco Caetano
    ,
    Lemar Abdi
    ,
    Christiaan G. A. Viviers
    ,
    M. M. Amaan Valiuddin
    , Fons van der Sommen
  5. Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
    MICCAI 2025 ·
    Lemar Abdi
    ,
    Francisco Caetano
    ,
    M. M. Amaan Valiuddin
    ,
    Christiaan G. A. Viviers
    ,
    Hamdi Joudeh
    , Fons van der Sommen
  6. Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling
    MICCAI 2025 ·
    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
  7. SemiVT-Surge: Semi-supervised Video Transformer for Surgical Phase Recognition
    MICCAI 2025 ·
    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
  8. Spline-Based Shape Compression for Interventional Device Tracking
    MICCAI 2025 ·
    Roman Pavelkin
    ,
    Luis Albert Zavala-Mondragón
    ,
    Ahmet Ekin
    , Fons van der Sommen
  9. WaveDamp: Enhancing Natural Robustness in Endoscopy Through Wavelet-Based Frequency Damping
    ICCV 2025 ·
    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
  10. Zero-Shot Image Anomaly Detection Using Generative Foundation Models
    ICCV 2025 ·
    Lemar Abdi
    ,
    M. M. Amaan Valiuddin
    ,
    Francisco Caetano
    ,
    Christiaan G. A. Viviers
    , Fons van der Sommen
  11. Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
    ECCV 2024 ·
    Christiaan G. A. Viviers
    ,
    M. M. Amaan Valiuddin
    ,
    Francisco Caetano
    ,
    Lemar Abdi
    ,
    Lena Filatova
    ,
    Peter H. N. de With
    , Fons van der Sommen
  12. Evaluating Confidence Calibration in Endoscopic Diagnosis Models
    CVPR 2024 ·
    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
  13. Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision
    MICCAI 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
  14. Find the Assembly Mistakes: Error Segmentation for Industrial Applications
    ECCV 2024 ·
    Dan Lehman
    ,
    Tim J. Schoonbeek
    ,
    Shao-Hsuan Hung
    ,
    Jacek Kustra
    ,
    Peter H. N. de With
    , Fons van der Sommen
  15. Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning
    MICCAI 2024 ·
    Cris H. B. Claessens
    ,
    Eloy W. R. Schultz
    ,
    Anna Koch
    ,
    Ingrid Nies
    ,
    Terese A. E. Hellström
    ,
    Joost Nederend
    ,
    Ilse Niers-Stobbe
    ,
    Annemarie Bruining
    ,
    Jurgen M. J. Piek
    ,
    Peter H. N. de With
    , Fons van der Sommen
  16. Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia
    MICCAI 2024 ·
    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
  17. Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging
    MICCAI 2024 ·
    Lemar Abdi
    ,
    M. M. Amaan Valiuddin
    ,
    Christiaan G. A. Viviers
    ,
    Peter H. N. de With
    , Fons van der Sommen