41 citations · 261 across the 45 of their papers we have counts for
5 papers · 1 filter
Compressed representation of brain genetic transcription
James K Ruffle, Henry Watkins, Robert J Gray +3
The architecture of the brain is too complex to be intuitively surveyable without the use of compressed representations that project its variation into a compact, navigable space.…
Deep Variational Lesion-Deficit Mapping
Guilherme Pombo, Robert Gray, Amy P. K. Nelson +3
Causal mapping of the functional organisation of the human brain requires evidence of \textit{necessity} available at adequate scale only from pathological lesions of natural origi…
Denoising diffusion models for out-of-distribution detection
Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu +3
Out-of-distribution detection is crucial to the safe deployment of machine learning systems. Currently, unsupervised out-of-distribution detection is dominated by generative-based…
Representational Ethical Model Calibration
Robert Carruthers, Isabel Straw, James K Ruffle +6
Equity is widely held to be fundamental to the ethics of healthcare. In the context of clinical decision-making, it rests on the comparative fidelity of the intelligence -- evidenc…
Bayesian Volumetric Autoregressive generative models for better semisupervised learning
Guilherme Pombo, Robert Gray, Tom Varsavsky +2
Deep generative models are rapidly gaining traction in medical imaging. Nonetheless, most generative architectures struggle to capture the underlying probability distributions of v…