Search Results for author: Dimitri Van De Ville

Found 6 papers, 2 papers with code

From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee

no code implementations31 Oct 2022 Selin Aviyente, Alejandro Frangi, Erik Meijering, Arrate Muñoz-Barrutia, Michael Liebling, Dimitri Van De Ville, Jean-Christophe Olivo-Marin, Jelena Kovačević, Michael Unser

The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities within the broad technical field of biomedical image and signal processing.

Hemodynamic Deconvolution Demystified: Sparsity-Driven Regularization at Work

1 code implementation26 Jul 2021 Eneko Uruñuela, Thomas A. W. Bolton, Dimitri Van De Ville, César Caballero-Gaudes

Deconvolution of the hemodynamic response is an important step to access short timescales of brain activity recorded by functional magnetic resonance imaging (fMRI).

Community-Aware Graph Signal Processing

no code implementations24 Aug 2020 Miljan Petrovic, Raphael Liegeois, Thomas A. W. Bolton, Dimitri Van De Ville

The emerging field of graph signal processing (GSP) allows to transpose classical signal processing operations (e. g., filtering) to signals on graphs.

Community Detection Denoising

Guided Graph Spectral Embedding: Application to the C. elegans Connectome

no code implementations10 Dec 2018 Miljan Petrović, Thomas A. W. Bolton, Maria Giulia Preti, Raphaël Liégeois, Dimitri Van De Ville

Graph spectral analysis can yield meaningful embeddings of graphs by providing insight into distributed features not directly accessible in nodal domain.

Guiding Network Analysis using Graph Slepians: An Illustration for the C. Elegans Connectome

no code implementations15 Aug 2017 Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti

Spectral approaches of network analysis heavily rely upon the eigendecomposition of the graph Laplacian.

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