Comparison between skeleton-based and atlas-based approach in the assessment of corpus callosum damages in Mild Cognitive Impairment and Alzheimer Disease. - Maria Giulia Preti; Maria Marcella Laganà; Francesca Baglio; Ludovica Griffanti; Raffaello Nemni; Pietro Cecconi; Giuseppe Baselli (EMBC, 2011)

Tractographic reconstruction protocol optimization in the rat brain in-vivo: Towards a normal atlas. - Maria Giulia Preti; Alessandro Di Marzio; Alfonso Mastropietro; Domenico Aquino; Giuseppe Baselli; Maria Marcella Laganà; Ileana Zucca; Carolina Frassoni; Roberto Spreafico (EMBC, 2011)

A novel approach of fMRI-guided tractography analysis within a group: Construction of an fMRI-guided tractographic atlas. - Maria Giulia Preti; Nikos Makris; Maria Marcella Laganà; George M. Papadimitriou; Francesca Baglio; Ludovica Griffanti; Raffaello Nemni; Pietro Cecconi; Carl-Fredrik Westin; Giuseppe Baselli (EMBC, 2012)

Signal-to-noise ratio of diffusion weighted magnetic resonance imaging: Estimation methods and in vivo application to spinal cord. - Ludovica Griffanti; Francesca Baglio; Maria Giulia Preti; Pietro Cecconi; Marco Rovaris; Giuseppe Baselli; Maria Marcella Laganà (Biomed. Signal Process. Control., 2012)

Transcranial Ultrasound and Magnetic Resonance Image Fusion With Virtual Navigator. - Maria Marcella Laganà; Maria Giulia Preti; Leonardo Forzoni; Sara D'Onofrio; Stefano De Beni; Antonello Barberio; Pietro Cecconi; Giuseppe Baselli (IEEE Trans. Multim., 2013)

The study of white matter microscopic damage in neurodegenerative pathologies : atlas based and fMRI guided tractography. - Maria Giulia Preti (2013)

Epileptic network activity revealed by dynamic functional connectivity in simultaneous EEG-fMRI. - Maria Giulia Preti; Nora Leonardi; Fikret Isik Karahanoglu; Frédéric Grouiller; Melanie Genetti; Margitta Seeck; Serge Vulliémoz; Dimitri Van De Ville (ISBI, 2014)

Decomposing dynamic functional connectivity onto phase-dependent eigenconnectivities using the Hilbert transform. - Maria Giulia Preti; Sven Haller; Panteleimon Giannakopoulos; Dimitri Van De Ville (ISBI, 2015)

Predicting individual scores from resting state fMRI using partial least squares regression. - Djalel Eddine Meskaldji; Maria Giulia Preti; Thomas Bolton 001; Marie-Louise Montandon; Cristelle Rodriguez; Stephan Morgenthaler; Panteleimon Giannakopoulos; Sven Haller; Dimitri Van De Ville (ISBI, 2016)

Eigenmaps of dynamic functional connectivity: Voxel-level dominant patterns through eigenvector centrality. - Maria Giulia Preti; Dimitri Van De Ville (ISBI, 2016)

Graph slepians to probe into large-scale network organization of resting-state functional connectivity. - Maria Giulia Preti; Dimitri Van De Ville (ACSSC, 2017)

Fine-scale patterns driving dynamic functional connectivity provide meaningful brain parcellations. - Maria Giulia Preti; Dimitri Van De Ville (EUSIPCO, 2017)

Guiding Network Analysis using Graph Slepians: An Illustration for the C. Elegans Connectome. - Dimitri Van De Ville; Robin Demesmaeker; Maria Giulia Preti (CoRR, 2017)

Dynamic reorganization of intrinsic functional networks in the mouse brain. - Joanes Grandjean; Maria Giulia Preti; Thomas William Arthur Bolton; Michaela Buerge; Erich Seifritz; Christopher R. Pryce; Dimitri Van De Ville; Markus Rudin (NeuroImage, 2017)

The dynamic functional connectome: State-of-the-art and perspectives. - Maria Giulia Preti; Thomas William Arthur Bolton; Dimitri Van De Ville (NeuroImage, 2017)

When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum. - Dimitri Van De Ville; Robin Demesmaeker; Maria Giulia Preti (IEEE Signal Process. Lett., 2017)

Guided Graph Spectral Embedding: Application to the C. elegans Connectome. - Miljan Petrovic; Thomas William Arthur Bolton; Maria Giulia Preti; Raphaël Liégeois; Dimitri Van De Ville (CoRR, 2018)

Augmented Slepians: Bandlimited Functions That Counterbalance Energy in Selected Intervals. - Robin Demesmaeker; Maria Giulia Preti; Dimitri Van De Ville (IEEE Trans. Signal Process., 2018)

Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions. - Julian Klug; Guillaume Leclerc; Elisabeth Dirren; Maria Giulia Preti; Dimitri Van De Ville; Emmanuel Carrera (BrainLes@MICCAI (1), 2020)

Structure-function dependencies as informative features for brain decoding and fingerprinting. - Alessandra Griffa; Dimitri Van De Ville; Maria Giulia Preti (ACSCC, 2021)

Brain structure-function coupling is unique to individuals across multiple frequency bands: a graph signal processing study. - Alessandra Griffa; Maria Giulia Preti (EUSIPCO, 2022)

On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI. - Amir H. Omidvarnia; Raphaël Liégeois; Enrico Amico; Maria Giulia Preti; Andrew Zalesky; Dimitri Van De Ville (Entropy, 2022)

Brain structure-function coupling provides signatures for task decoding and individual fingerprinting. - Alessandra Griffa; Enrico Amico; Raphaël Liégeois; Dimitri Van De Ville; Maria Giulia Preti (NeuroImage, 2022)

Brain Fingerprinting Using FMRI Spectral Signatures On High-Resolution Cortical Graphs. - Carlo Ferritto; Maria Giulia Preti; Stefano Moia; Dimitri Van De Ville; Hamid Behjat (ICASSP Workshops, 2023)

Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling. - Maria Giulia Preti; Thomas William Arthur Bolton; Alessandra Griffa; Dimitri Van De Ville (ICASSP, 2023)

Direct Imaging of Neuronal Activity: A Multivariate Perspective on DIANA Data in Human Subjects. - Dimitri Van De Ville; Maria Giulia Preti (EUSIPCO, 2024)

Temporal Fluctuations of Brain Structure-Function Coupling as a Potential Marker of Drowsiness During Resting State. - Maria Giulia Preti; Dimitri Van De Ville (ISBI, 2024)

NiGSP: A python library (and toolbox!) to run Graph Signal Processing on multimodal MRI data. - Stefano Moia; Nawal Kinani; Mathieu Scheltienne; Maria Giulia Preti; Dimitri Van De Ville (Zenodo, 2024)