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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

Francisco Caetano
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Lemar Abdi
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Tim J. M. Jaspers
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Yiping Li
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Roman Pavelkin
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Haiko Middeljans
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Christiaan G. A. Viviers
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Nikoo Dehghani
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Dan Lehman
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Cris H. B. Claessens
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Carolus H. J. Kusters
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Papers

  1. Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models
    AAAI 2026 ·
    Francisco Caetano
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  2. DisCoPatch: Taming Adversarially-Driven Batch Statistics for Improved Out-of-Distribution Detection
    ICCV 2025 ·
    Francisco Caetano
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  3. MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation
    ICCV 2025 ·
    Francisco Caetano
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  4. MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching
    MICCAI 2025 ·
    Francisco Caetano
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  5. Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
    MICCAI 2025 ·
    Lemar Abdi
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  6. Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling
    MICCAI 2025 ·
    Tim J. M. Jaspers
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  7. SemiVT-Surge: Semi-supervised Video Transformer for Surgical Phase Recognition
    MICCAI 2025 ·
    Yiping Li
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  8. Spline-Based Shape Compression for Interventional Device Tracking
    MICCAI 2025 ·
    Roman Pavelkin
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  9. WaveDamp: Enhancing Natural Robustness in Endoscopy Through Wavelet-Based Frequency Damping
    ICCV 2025 ·
    Haiko Middeljans
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  10. Zero-Shot Image Anomaly Detection Using Generative Foundation Models
    ICCV 2025 ·
    Lemar Abdi
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  11. Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
    ECCV 2024 ·
    Christiaan G. A. Viviers
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  12. Evaluating Confidence Calibration in Endoscopic Diagnosis Models
    CVPR 2024 ·
    Nikoo Dehghani
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  13. Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision
    MICCAI 2024 ·
    Tim J. M. Jaspers
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  14. Find the Assembly Mistakes: Error Segmentation for Industrial Applications
    ECCV 2024 ·
    Dan Lehman
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  15. Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning
    MICCAI 2024 ·
    Cris H. B. Claessens
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  16. Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia
    MICCAI 2024 ·
    Carolus H. J. Kusters
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  17. Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging
    MICCAI 2024 ·
    Lemar Abdi
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