no code implementations • 31 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.
1 code implementation • 26 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).
no code implementations • 24 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.
no code implementations • 10 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.
no code implementations • 15 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.
1 code implementation • 29 Jan 2017 • Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti
The study of complex systems benefits from graph models and their analysis.