activity
20212026
most citedComputational limits to the legibility of the imaged human brain

7 citations · 21 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2026

Fairboard: a quantitative framework for equity assessment of healthcare models

James K. Ruffle, Samia Mohinta, Chris Foulon +5

Despite there now being more than 1,000 FDA-authorised AI medical devices, formal equity assessments -- whether model performance is uniform across patient subgroups -- are rare. H…

eess.IV2025

Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence: a multi-cohort retrospective diagnostic accuracy study

James K Ruffle, Samia Mohinta, Guilherme Pombo +13

Brain tumour MRI typically requires both pre- and post-contrast imaging, but gadolinium is not always desirable (frequent follow-up, renal impairment, allergy, paediatric patients)…

eess.IV2025

Generalizable automated ischaemic stroke lesion segmentation with vision transformers

Chris Foulon, Robert Gray, James K. Ruffle +13

Ischaemic stroke, a leading cause of death and disability, critically relies on neuroimaging for characterising the anatomical pattern of injury. Diffusion-weighted imaging (DWI) p…

q-bio.QM2024★ 5 cited

VASARI-auto: equitable, efficient, and economical featurisation of glioma MRI

James K Ruffle, Samia Mohinta, Kelly Pegoretti Baruteau +5

The VASARI MRI feature set is a quantitative system designed to standardise glioma imaging descriptions. Though effective, deriving VASARI is time-consuming and seldom used in clin…

cs.LG2023★ 1 cited

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.…

q-bio.NC2023★ 7 cited

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…

cs.CV2023

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…

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…

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…