3 citations · 4 across the 3 of their papers we have counts for
3 papers
Estimating the construct validity of Principal Components Analysis
Thomas M. H. Hope, Cathy J. Price, Ajay Halai +5
In many scientific disciplines, the features of interest cannot be observed directly, so must instead be inferred from observed behaviour. Latent variable analyses are increasingly…
Predicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI
Adam White, Margarita Saranti, Artur d'Avila Garcez +3
Machine learning offers great potential for automated prediction of post-stroke symptoms and their response to rehabilitation. Major challenges for this endeavour include the very…
Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI
Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha +2
One third of stroke survivors have language difficulties. Emerging evidence suggests that their likelihood of recovery depends mainly on the damage to language centers. Thus previo…