10 citations · 17 across the 6 of their papers we have counts for
6 papers
Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli
Florian David, Michael Chan, Elenor Morgenroth +2
We propose an end-to-end deep neural encoder-decoder model to encode and decode brain activity in response to naturalistic stimuli using functional magnetic resonance imaging (fMRI…
Hilbert Transform on Graphs: Let There Be Phase
Chun Hei Michael Chan, Alexandre Cionca, Dimitri Van De Ville
In the past years, many signal processing operations have been successfully adapted to the graph setting. One elegant and effective approach is to exploit the eigendecomposition of…
Guided Graph Spectral Embedding: Application to the C. elegans Connectome
Miljan Petrović, Thomas A. W. Bolton, Maria Giulia Preti +2
Graph spectral analysis can yield meaningful embeddings of graphs by providing insight into distributed features not directly accessible in nodal domain. Recent efforts in graph si…
Guiding Network Analysis using Graph Slepians: An Illustration for the C. Elegans Connectome
Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti
Spectral approaches of network analysis heavily rely upon the eigendecomposition of the graph Laplacian. For instance, in graph signal processing, the Laplacian eigendecomposition…
Steering Macro-Scale Network Community Structure by Micro-Scale Features
Dimitri Van De Ville
Network science plays an increasingly important role to model complex data in many scientific disciplines. One notable feature of network organization is community structure, which…
Harmonic analysis of spherical sampling in diffusion MRI
A. Daducci, J. D. McEwen, D. Van De Ville +2
In the last decade diffusion MRI has become a powerful tool to non-invasively study white-matter integrity in the brain. Recently many research groups have focused their attention…