activity
20202023
most citedFocal and Connectomic Mapping of Transiently Disrupted Brain Function

6 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.QM2023★ 1 cited

Individualized prescriptive inference in ischaemic stroke

Dominic Giles, Chris Foulon, Guilherme Pombo +8

The gold standard in the treatment of ischaemic stroke is set by evidence from randomized controlled trials, based on simple descriptions of presumptively homogeneous populations.…

q-bio.NC2022★ 6 cited

Focal and Connectomic Mapping of Transiently Disrupted Brain Function

Michael S. Elmalem, Hanna Moody, James K. Ruffle +5

The distributed nature of the neural substrate, and the difficulty of establishing necessity from correlative data, combine to render the mapping of brain function a far harder tas…

stat.ME2022★ 2 cited

GeoSPM: Geostatistical parametric mapping for medicine

Holger Engleitner, Ashwani Jha, Marta Suarez Pinilla +6

The characteristics and determinants of health and disease are often organised in space, reflecting our spatially extended nature. Understanding the influence of such factors requi…

cs.CV2021

Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion

Anthony Bourached, Robert Gray, Xiaodong Guan +3

Models of human motion commonly focus either on trajectory prediction or action classification but rarely both. The marked heterogeneity and intricate compositionality of human mot…

cs.CL2021

Neuradicon: operational representation learning of neuroimaging reports

Henry Watkins, Robert Gray, Adam Julius +10

Radiological reports typically summarize the content and interpretation of imaging studies in unstructured form that precludes quantitative analysis. This limits the monitoring of…

cs.CV2020

Generative Model-Enhanced Human Motion Prediction

Anthony Bourached, Ryan-Rhys Griffiths, Robert Gray +2

The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out-of-…