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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roschewitz2023automatic

2023 (1)

  • Mélanie Roschewitz, Galvin Khara, Joe Yearsley, Nisha Sharma, Jonathan J. James, Éva Ambrózay, Adam Heroux, Peter Kecskemethy, Tobias Rijken, Ben Glocker, Automatic correction of performance drift under acquisition shift in medical image classification, Nature Communications, 2023
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