Peter H. N. de With

Venues

Frequent coauthors

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. Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling
   MICCAI 2025 ·

   Tim J. M. Jaspers

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5. WaveDamp: Enhancing Natural Robustness in Endoscopy Through Wavelet-Based Frequency Damping
   ICCV 2025 ·

   Haiko Middeljans

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6. Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
   ECCV 2024 ·

   Christiaan G. A. Viviers

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7. Evaluating Confidence Calibration in Endoscopic Diagnosis Models
   CVPR 2024 ·

   Nikoo Dehghani

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8. Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision
   MICCAI 2024 ·

   Tim J. M. Jaspers

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9. Find the Assembly Mistakes: Error Segmentation for Industrial Applications
   ECCV 2024 ·

   Dan Lehman

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10. Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning
    MICCAI 2024 ·

    Cris H. B. Claessens

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11. Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia
    MICCAI 2024 ·

    Carolus H. J. Kusters

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12. Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging
    MICCAI 2024 ·

    Lemar Abdi

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13. uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
    CVPR 2024 ·

    Giacomo D'Amicantonio

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