31 citations · 95 across the 15 of their papers we have counts for
16 papers
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.…
Computational limits to the legibility of the imaged human brain
James K Ruffle, Robert J Gray, Samia Mohinta +5
Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clin…
The minimal computational substrate of fluid intelligence
Amy PK Nelson, Joe Mole, Guilherme Pombo +6
The quantification of cognitive powers rests on identifying a behavioural task that depends on them. Such dependence cannot be assured, for the powers a task invokes cannot be expe…
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols
Tobias Goodwin-Allcock, Ting Gong, Robert Gray +2
We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation from only six-direction diffusion weighted images (DWI). Deep learning-based methods have been recently pro…
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…
Brain tumour genetic network signatures of survival
James K Ruffle, Samia Mohinta, Guilherme Pombo +6
Tumour heterogeneity is increasingly recognized as a major obstacle to therapeutic success across neuro-oncology. Gliomas are characterised by distinct combinations of genetic and…