Ben Glocker Professor in Machine Learning for Imaging
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Recent Papers

  • Roschewitz et al (2025) Robust image representations with counterfactual contrastive learning
  • Jones et al. (2025) Rethinking Fair Representation Learning for Performance-Sensitive Tasks
  • Kori et al. (2024) Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
  • Jones et al. (2024) A causal perspective on dataset bias in machine learning for medical imaging
  • Kori et al. (2024) Grounded Object-Centric Learning
  • Ng et al. (2023) Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer
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li2023colab

2023 (1)

  • Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker, Context Label Learning: Improving Background Class Representations in Semantic Segmentation, IEEE Transactions on Medical Imaging, 2023
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