10 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2016★ 1 cited
Deep disentangled representations for volumetric reconstruction
Edward Grant, Pushmeet Kohli, Marcel van Gerven
We introduce a convolutional neural network for inferring a compact disentangled graphical description of objects from 2D images that can be used for volumetric reconstruction. The…
q-bio.NC2014★ 1 cited
Efficient sampling of Gaussian graphical models using conditional Bayes factors
Max Hinne, Alex Lenkoski, Tom Heskes +1
Bayesian estimation of Gaussian graphical models has proven to be challenging because the conjugate prior distribution on the Gaussian precision matrix, the G-Wishart distribution,…
q-bio.NC2012★ 10 cited
Bayesian Inference of Whole-Brain Networks
M. Hinne, T. Heskes, M. A. J. van Gerven
In structural brain networks the connections of interest consist of white-matter fibre bundles between spatially segregated brain regions. The presence, location and orientation of…