Imperial College London
Department of Computing
Ben Glocker Professor in Machine Learning for Imaging
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Recent Papers

  • Glocker et al. (2023) Algorithmic encoding of protected characteristics in chest X-ray disease detection models
  • Monteiro et al. (2023) Measuring axiomatic soundness of counterfactual image models
  • Li et al. (2023) Context Label Learning: Improving Background Class Representations in Semantic Segmentation
  • Langley et al. (2022) Structured Uncertainty in the Observation Space of Variational Autoencoders
  • Bernhardt et al. (2022) Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed
  • Bernhardt et al. (2022) Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
  • Liu et al. (2022) The medical algorithmic audit
  • Bernhardt et al. (2022) Active label cleaning for improved dataset quality under resource constraints
  • Sinclair et al. (2022) Atlas-ISTN: Joint segmentation and registration and atlas construction with image-and-spatial transformer networks
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konukoglu2013media

2013 (1)

  • Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi, Neighbourhood Approximation using Randomized Forests, Medical image analysis, volume 17, pp.790–804, 2013
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