8 citations · 27 across the 21 of their papers we have counts for
5 papers · 1 filter
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
Kate Čevora, Ben Glocker, Wenjia Bai
Deep learning-based medical image segmentation has seen tremendous progress over the last decade, but there is still relatively little transfer into clinical practice. One of the m…
Analysing race and sex bias in brain age prediction
Carolina Piçarra, Ben Glocker
Brain age prediction from MRI has become a popular imaging biomarker associated with a wide range of neuropathologies. The datasets used for training, however, are often skewed and…
Robustness Stress Testing in Medical Image Classification
Mobarakol Islam, Zeju Li, Ben Glocker
Deep neural networks have shown impressive performance for image-based disease detection. Performance is commonly evaluated through clinical validation on independent test sets to…
Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT
Sam Ellis, Octavio E. Martinez Manzanera, Vasileios Baltatzis +6
GANs are able to model accurately the distribution of complex, high-dimensional datasets, e.g. images. This makes high-quality GANs useful for unsupervised anomaly detection in med…
Vector Quantisation for Robust Segmentation
Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler +2
The reliability of segmentation models in the medical domain depends on the model's robustness to perturbations in the input space. Robustness is a particular challenge in medical…