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20192023
most citedUnsupervised Brain Anomaly Detection and Segmentation with Transformers

31 citations · 95 across the 15 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models

Guilherme Pombo, Robert Gray, Jorge Cardoso +4

We describe Countersynth, a conditional generative model of diffeomorphic deformations that induce label-driven, biologically plausible changes in volumetric brain images. The mode…

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.DL2021★ 1 cited

Deep forecasting of translational impact in medical research

Amy PK Nelson, Robert J Gray, James K Ruffle +10

The value of biomedical research--a $1.7 trillion annual investment--is ultimately determined by its downstream, real-world impact. Current objective predictors of impact rest on p…

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…

eess.IV2021★ 31 cited

Unsupervised Brain Anomaly Detection and Segmentation with Transformers

Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray +4

Pathological brain appearances may be so heterogeneous as to be intelligible only as anomalies, defined by their deviation from normality rather than any specific pathological char…