41 citations · 43 across the 6 of their papers we have counts for
6 papers
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study
Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi +6
Stroke is a leading cause of disability and death. Effective treatment decisions require early and informative vascular imaging. 4D perfusion imaging is ideal but rarely available…
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…
Generative AI for Medical Imaging: extending the MONAI Framework
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot +21
Recent advances in generative AI have brought incredible breakthroughs in several areas, including medical imaging. These generative models have tremendous potential not only to he…
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…
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?
Tobias Goodwin-Allcock, Jason McEwen, Robert Gray +2
This paper demonstrates spherical convolutional neural networks (S-CNN) offer distinct advantages over conventional fully-connected networks (FCN) at estimating scalar parameters o…
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…