77 citations · 133 across the 15 of their papers we have counts for
3 papers · 1 filter
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Ben Glocker, Charles Jones, Melanie Roschewitz +1
Purpose: To analyze a recently published chest radiography foundation model for the presence of biases that could lead to subgroup performance disparities across biological sex and…
Structured Uncertainty in the Observation Space of Variational Autoencoders
James Langley, Miguel Monteiro, Charles Jones +2
Variational autoencoders (VAEs) are a popular class of deep generative models with many variants and a wide range of applications. Improvements upon the standard VAE mostly focus o…
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
Mélanie Bernhardt, Charles Jones, Ben Glocker
An increasing number of reports raise concerns about the risk that machine learning algorithms could amplify health disparities due to biases embedded in the training data. Seyyed-…