activity
20132023
most citedDisease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation

142 citations · 1k across the 43 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

physics.med-ph2017★ 64 cited

Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain

Andrada Ianuş, Sune N. Jespersen, Teresa Serradas Duarte +3

Microscopic diffusion anisotropy (μA) has been recently gaining increasing attention for its ability to decouple the average compartment anisotropy from orientation dispersion. Adv…

cs.HC2017

ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research

Nicholas C. Firth, Emma Harding, Mary Pat Sullivan +2

Smart devices have become common place in many homes, and these devices can be utilized to provide support for people with mental or physical deficits. Voice-controlled assistants…

cs.CV2017★ 20 cited

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution

Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh +4

In this work, we investigate the value of uncertainty modeling in 3D super-resolution with convolutional neural networks (CNNs). Deep learning has shown success in a plethora of me…

physics.comp-ph2017★ 8 cited

Realistic voxel sizes and reduced signal variation in Monte-Carlo simulation for diffusion MR data synthesis

Matt G Hall, Gemma Nedjati-Gilani, Daniel C Alexander

To synthesize diffusion MR measurements from Monte-Carlo simulation using tissue models with sizes comparable to those of scan voxels. Larger regions enable restricting structures…

stat.AP2017★ 142 cited

Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation

Marco Lorenzi, Maurizio Filippone, Daniel C. Alexander +1

The development of statistical approaches for the joint modelling of the temporal changes of imaging, biochemical, and clinical biomarkers is of paramount importance for improving…