Dimitri Van De Ville

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 75

Top Venues

NeuroImage

ISBI

IEEE Trans. Signal Process.

CoRR

Publications

Maliheh Miri, Vahid Abootalebi, Hamid Saeedi Sourck, Dimitri Van De Ville, Hamid Behjat
Spectral representation of EEG data using learned graphs with application to motor imagery decoding. Biomed. Signal Process. Control. 87 (Part B) (2024)
Maliheh Miri, Vahid Abootalebi, Enrico Amico, Hamid Saeedi Sourck, Dimitri Van De Ville, Hamid Behjat
Brain Fingerprinting Using EEG Graph Inference. EUSIPCO (2023)
Carlo Ferritto, Maria Giulia Preti, Stefano Moia, Dimitri Van De Ville, Hamid Behjat
Brain Fingerprinting Using FMRI Spectral Signatures On High-Resolution Cortical Graphs. ICASSP Workshops (2023)
Maria Giulia Preti, Thomas William Arthur Bolton, Alessandra Griffa, Dimitri Van De Ville
Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling. ICASSP (2023)
Nawal Kinany, Ali Khatibi, Ovidiu V. Lungu, Jürgen Finsterbusch, Christian Büchel, Véronique Marchand-Pauvert, Dimitri Van De Ville, Shahabeddin Vahdat, Julien Doyon
Decoding cerebro-spinal signatures of human behavior: Application to motor sequence learning. NeuroImage 275 (2023)
Selin Aviyente, Alejandro F. Frangi, Erik Meijering, Arrate Muñoz-Barrutia, Michael Liebling, Dimitri Van De Ville, Jean-Christophe Olivo-Marin, Jelena Kovacevic, Michael Unser
From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee. IEEE Signal Process. Mag. 40 (4) (2023)
Alessandra Griffa, Enrico Amico, Raphaël Liégeois, Dimitri Van De Ville, Maria Giulia Preti
Brain structure-function coupling provides signatures for task decoding and individual fingerprinting. NeuroImage 250 (2022)
Ilaria Ricchi, Anjali Tarun, Hermina Petric Maretic, Pascal Frossard, Dimitri Van De Ville
Dynamics of functional network organization through graph mixture learning. NeuroImage 252 (2022)
Elvira Pirondini, Nawal Kinany, Cécile Le Sueur, Joseph C. Griffis, Gordon L. Shulman, Maurizio Corbetta, Dimitri Van De Ville
Post-stroke reorganization of transient brain activity characterizes deficits and recovery of cognitive functions. NeuroImage 255 (2022)
Herberto Dhanis, Eva Blondiaux, Thomas Bolton, Nathan Faivre, Giulio Rognini, Dimitri Van De Ville, Olaf Blanke
Robotically-induced hallucination triggers subtle changes in brain network transitions. NeuroImage 248 (2022)
Michal Muszynski, Elenor Morgenroth, Laura Vilaclara, Dimitri Van De Ville, Patrik Vuilleumier
Impact of aesthetic movie highlights on semantics and emotions: a preliminary analysis. ICMI Companion (2022)
Amir H. Omidvarnia, Raphaël Liégeois, Enrico Amico, Maria Giulia Preti, Andrew Zalesky, Dimitri Van De Ville
On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI. Entropy 24 (8) (2022)
Nikita Davydov, Lucas Peek, Tibor Auer, Evgeny Prilepin, Nicolas Gninenko, Dimitri Van De Ville, Artem V. Nikonorov, Yury Koush
Real-time and Recursive Estimators for Functional MRI Quality Assessment. Neuroinformatics 20 (4) (2022)
Nawal Kinany, Elvira Pirondini, Loan Mattera, Roberto Martuzzi, Silvestro Micera, Dimitri Van De Ville
Towards reliable spinal cord fMRI: Assessment of common imaging protocols. NeuroImage 250 (2022)
Alessandra Griffa, Dimitri Van De Ville, Maria Giulia Preti
Structure-function dependencies as informative features for brain decoding and fingerprinting. ACSCC (2021)
Vanessa Siffredi, Younes Farouj, Anjali Tarun, Vicki Anderson, Amanda G. Wood, Alissandra McIlroy, Richard J. Leventer, Megan M. Spencer-Smith, Dimitri Van De Ville
Large-scale functional network dynamics in human callosal agenesis: Increased subcortical involvement and preserved laterality. NeuroImage 243 (2021)
Amir H. Omidvarnia, Andrew Zalesky, Sina Mansour L, Dimitri Van De Ville, Graeme D. Jackson, Mangor Pedersen
Temporal complexity of fMRI is reproducible and correlates with higher order cognition. NeuroImage 230 (2021)
Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson, Cindy Lor, Sebastian J. Götzendorfer, Ronald Sladky, Stavros Skouras, Amalia McDonald, R. Cameron Craddock, Lydia Hellrung, Matthias Kirschner, Marcus Herdener, Yury Koush, Marina Papoutsi, Nimrod Jakob Keynan, Talma Hendler, Kathrin Cohen Kadosh, Catharina Zich, Simon H. Kohl, Manfred Hallschmid, Jeff MacInnes, R. Alison Adcock, Kathryn C. Dickerson, Nan-kuei Chen, Kymberly D. Young, Jerzy Bodurka, Michael Marxen, Shuxia Yao, Benjamin Becker, Tibor Auer, Renate Schweizer, Gustavo S. P. Pamplona, Ruth A. Lanius, Kirsten Emmert, Sven Haller, Dimitri Van De Ville, Dong-Youl Kim, Jong-Hwan Lee, Theo Marins, Fukuda Megumi, Bettina Sorger, Tabea Kamp, Sook-Lei Liew, Ralf Veit, Maartje S. Spetter, Nikolaus Weiskopf, Frank Scharnowski, David Steyrl
Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. NeuroImage 237 (2021)
Raphaël Liégeois, B. T. Thomas Yeo, Dimitri Van De Ville
Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis. NeuroImage 243 (2021)
Ekansh Sareen, Sélima Zahar, Dimitri Van De Ville, Anubha Gupta, Alessandra Griffa, Enrico Amico
Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations. NeuroImage 240 (2021)
Julian Gaviria, Gwladys Rey, Thomas Bolton, Dimitri Van De Ville, Patrik Vuilleumier
Dynamic functional brain networks underlying the temporal inertia of negative emotions. NeuroImage 240 (2021)
Lorena G. A. Freitas, Thomas William Arthur Bolton, Benjamin E. Krikler, Delphine Jochaut, Anne-Lise Giraud, Petra S. Hüppi, Dimitri Van De Ville
Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns. NeuroImage 212 (2020)
Julian Klug, Guillaume Leclerc, Elisabeth Dirren, Maria Giulia Preti, Dimitri Van De Ville, Emmanuel Carrera
Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions. BrainLes@MICCAI (1) (2020)
Thomas William Arthur Bolton, Constantin Tuleasca, Diana Wotruba, Gwladys Rey, Herberto Dhanis, Baptiste Gauthier, Farnaz Delavari, Elenor Morgenroth, Julian Gaviria, Eva Blondiaux, Lukasz Smigielski, Dimitri Van De Ville
TbCAPs: A toolbox for co-activation pattern analysis. NeuroImage 211 (2020)
Anjali Tarun, Hamid Behjat, Thomas Bolton, David Abramian, Dimitri Van De Ville
Structural mediation of human brain activity revealed by white-matter interpolation of fMRI. NeuroImage 213 (2020)
Antonio G. Marques, Negar Kiyavash, José M. F. Moura, Dimitri Van De Ville, Rebecca Willett
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]. IEEE Signal Process. Mag. 37 (6) (2020)
Thomas William Arthur Bolton, Dimitri Van De Ville
Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human Behaviour. ISBI (2020)
Thomas William Arthur Bolton, Valeria Kebets, Enrico Glerean, Daniela Zöller, Jingwei Li, B. T. Thomas Yeo, César Caballero-Gaudes, Dimitri Van De Ville
: Correlates of spatio-temporal motion characteristics during fMRI. NeuroImage 209 (2020)
Younes Farouj, Fikret Isik Karahanoglu, Dimitri Van De Ville
Deconvolution of Sustained Neural Activity From Large-Scale Calcium Imaging Data. IEEE Trans. Medical Imaging 39 (4) (2020)
Baptiste Gauthier, Lucie Bréchet, Florian Lance, Robin Mange, Bruno Herbelin, Nathan Faivre, Thomas William Arthur Bolton, Dimitri Van De Ville, Olaf Blanke
First-person body view modulates the neural substrates of episodic memory and autonoetic consciousness: A functional connectivity study. NeuroImage 223 (2020)
Miljan Petrovic, Raphaël Liégeois, Thomas William Arthur Bolton, Dimitri Van De Ville
Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals. IEEE Signal Process. Mag. 37 (6) (2020)
Thomas William Arthur Bolton, Lorena G. A. Freitas, Delphine Jochaut, Anne-Lise Giraud, Dimitri Van De Ville
Neural responses in autism during movie watching: Inter-individual response variability co-varies with symptomatology. NeuroImage 216 (2020)
Thomas William Arthur Bolton, Younes Farouj, Mert Inan, Dimitri Van De Ville
Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging Data. ISBI (2019)
Lara Lordier, Serafeim Loukas, Frédéric Grouiller, Andreas Vollenweider, Lana Vasung, Djalel Eddine Meskaldji, Fleur Lejeune, Marie Pascale Pittet, Cristina Borradori-Tolsa, François Lazeyras, Didier Grandjean, Dimitri Van De Ville, Petra S. Hüppi
Music processing in preterm and full-term newborns: A psychophysiological interaction (PPI) approach in neonatal fMRI. NeuroImage 185 (2019)
Rotem Kopel, Ronald Sladky, P. Laub, Yury Koush, Fabien Robineau, Chloe Hutton, Nikolaus Weiskopf, Patrik Vuilleumier, Dimitri Van De Ville, Frank Scharnowski
No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. NeuroImage 191 (2019)
Anjali Tarun, David Abramian, Hamid Behjat, Dimitri Van De Ville
Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri. ISBI (2019)
Jeremy Casorso, Xiaolu Kong, Wang Chi, Dimitri Van De Ville, B. T. Thomas Yeo, Raphaël Liégeois
Dynamic mode decomposition of resting-state and task fMRI. NeuroImage 194 (2019)
Thomas Bolton, Dimitri Van De Ville
Time-frequency characterization of resting-state brain function reveals overlapping components with specific topology and frequency content. ICIGP (2019)
Yury Koush, Swann Pichon, Simon B. Eickhoff, Dimitri Van De Ville, Patrik Vuilleumier, Frank Scharnowski
Brain networks for engaging oneself in positive-social emotion regulation. NeuroImage 189 (2019)
Younes Farouj, Fikret Isik Karahanoglu, Dimitri Van De Ville
Bold Signal Deconvolution Under Uncertain HÆModynamics: A Semi-Blind Approach. ISBI (2019)
Hamid Behjat, Zafer Dogan, Dimitri Van De Ville, Leif Sörnmo
Domain-Informed Spline Interpolation. IEEE Trans. Signal Process. 67 (15) (2019)
Yury Koush, Nemanja Masala, Frank Scharnowski, Dimitri Van De Ville
Data-driven tensor independent component analysis for model-based connectivity neurofeedback. NeuroImage 184 (2019)
Nawal Kinany, Elvira Pirondini, Roberto Martuzzi, Loan Mattera, Silvestro Micera, Dimitri Van De Ville
Functional imaging of rostrocaudal spinal activity during upper limb motor tasks. NeuroImage 200 (2019)
Daniela Zöller, Thomas William Arthur Bolton, Fikret Isik Karahanoglu, Stephan Eliez, Marie Schaer, Dimitri Van De Ville
Robust Recovery of Temporal Overlap Between Network Activity Using Transient-Informed Spatio-Temporal Regression. IEEE Trans. Medical Imaging 38 (1) (2019)
Miljan Petrovic, Thomas William Arthur Bolton, Maria Giulia Preti, Raphaël Liégeois, Dimitri Van De Ville
Guided Graph Spectral Embedding: Application to the C. elegans Connectome. CoRR (2018)
Thomas William Arthur Bolton, Anjali Tarun, Virginie Sterpenich, Sophie Schwartz, Dimitri Van De Ville
Interactions Between Large-Scale Functional Brain Networks are Captured by Sparse Coupled HMMs. IEEE Trans. Medical Imaging 37 (1) (2018)
Robin Demesmaeker, Maria Giulia Preti, Dimitri Van De Ville
Augmented Slepians: Bandlimited Functions That Counterbalance Energy in Selected Intervals. IEEE Trans. Signal Process. 66 (15) (2018)
Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville
Graph Signal Processing of Human Brain Imaging Data. ICASSP (2018)
Thomas William Arthur Bolton, Younes Farouj, Silvia Obertino, Dimitri Van De Ville
Graph slepians to strike a balance between local and global network interactions: Application to functional brain imaging. ISBI (2018)
Valeria Kebets, Mitsouko van Assche, Jonas Richiardi, Rachel Goldstein, Reto Meuli, Tobias Kober, Frédéric Assal, Dimitri Van De Ville
Multivariate and predictive modelling of neural variability in mild cognitive impairment. PRNI (2018)
Fikret Isik Karahanoglu, Camille Piguet, Younes Farouj, Patrik Vuilleumier, Dimitri Van De Ville
Quantification of Resting-State fMRI Networks Driven by Hemodynamically Informed Spatiotemporal Regularization. ACSSC (2018)
Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville
A Graph Signal Processing Perspective on Functional Brain Imaging. Proc. IEEE 106 (5) (2018)
Anna Custo, Dimitri Van De Ville, William M. Wells III, Miralena I. Tomescu, Denis Brunet, Christoph M. Michel
Electroencephalographic Resting-State Networks: Source Localization of Microstates. Brain Connect. 7 (10) (2017)
Maria Giulia Preti, Thomas William Arthur Bolton, Dimitri Van De Ville
The dynamic functional connectome: State-of-the-art and perspectives. NeuroImage 160 (2017)
Joanes Grandjean, Maria Giulia Preti, Thomas William Arthur Bolton, Michaela Buerge, Erich Seifritz, Christopher R. Pryce, Dimitri Van De Ville, Markus Rudin
Dynamic reorganization of intrinsic functional networks in the mouse brain. NeuroImage 152 (2017)
Maria Giulia Preti, Dimitri Van De Ville
Graph slepians to probe into large-scale network organization of resting-state functional connectivity. ACSSC (2017)
Maria Giulia Preti, Dimitri Van De Ville
Fine-scale patterns driving dynamic functional connectivity provide meaningful brain parcellations. EUSIPCO (2017)
Rotem Kopel, Kirsten Emmert, Frank Scharnowski, Sven Haller, Dimitri Van De Ville
Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training. IEEE Trans. Biomed. Eng. 64 (6) (2017)
Thomas Bolton, Dimitri Van De Ville
Sparse coupled hidden Markov models shed light on resting-state fMRI cross-network interactions. ISBI (2017)
Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti
When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum. CoRR (2017)
Daniela Zöller, Marie Schaer, Elisa Scariati, Maria Carmela Padula, Stephan Eliez, Dimitri Van De Ville
Disentangling resting-state BOLD variability and PCC functional connectivity in 22q11.2 deletion syndrome. NeuroImage 149 (2017)
Yury Koush, John Ashburner, Evgeny Prilepin, Ronald Sladky, Peter Zeidman, Sergey A. Bibikov, Frank Scharnowski, Artem V. Nikonorov, Dimitri Van De Ville
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. NeuroImage 156 (2017)
Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti
Guiding Network Analysis using Graph Slepians: An Illustration for the C. Elegans Connectome. CoRR (2017)
Younes Farouj, Fikret Isik Karahanoglu, Dimitri Van De Ville
Regularized spatiotemporal deconvolution of fMRI data using gray-matter constrained total variation. ISBI (2017)
Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti
When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum. IEEE Signal Process. Lett. 24 (7) (2017)
Kirsten Emmert, Rotem Kopel, James S. Sulzer, Annette B. Brühl, Brian D. Berman, David E. J. Linden, Silvina G. Horovitz, Markus Breimhorst, Andrea Caria, Sabine Frank, Stephen J. Johnston, Zhi-ying Long, Christian Paret, Fabien Robineau, Ralf Veit, Andreas J. Bartsch, Christian F. Beckmann, Dimitri Van De Ville, Sven Haller
Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated? NeuroImage 124 (2016)
Maria Giulia Preti, Dimitri Van De Ville
Eigenmaps of dynamic functional connectivity: Voxel-level dominant patterns through eigenvector centrality. ISBI (2016)
Luca Dodero, Diego Sona, Djalel Eddine Meskaldji, Vittorio Murino, Dimitri Van De Ville
Traces of human functional activity: Moment-to-moment fluctuations in fMRI data. ISBI (2016)
Dimitri Van De Ville, Viktor K. Jirsa, Stephen C. Strother, Jonas Richiardi, Andrew Zalesky
Introduction to the Issue on Advanced Signal Processing for Brain Networks. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
Fikret Isik Karahanoglu, Dimitri Van De Ville
Total-activation regularized deconvolution of resting-state fMRI leads to reproducible networks with spatial overlap. EUSIPCO (2016)
Dimitri Van De Ville
Steering Macro-Scale Network Community Structure by Micro-Scale Features. CoRR (2016)
Hamid Behjat, Ulrike Richter, Dimitri Van De Ville, Leif Sörnmo
Signal-Adapted Tight Frames on Graphs. IEEE Trans. Signal Process. 64 (22) (2016)
Djalel Eddine Meskaldji, Maria Giulia Preti, Thomas Bolton, Marie-Louise Montandon, Cristelle Rodriguez, Stephan Morgenthaler, Panteleimon Giannakopoulos, Sven Haller, Dimitri Van De Ville
Predicting individual scores from resting state fMRI using partial least squares regression. ISBI (2016)
Elvira Pirondini, A. Vybornova, Martina Coscia, Dimitri Van De Ville
A Spectral Method for Generating Surrogate Graph Signals. IEEE Signal Process. Lett. 23 (9) (2016)
Omar Sultan Al-Kadi, Dimitri Van De Ville, Adrien Depeursinge
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment. MICCAI (1) (2016)
Markus Gschwind, Christoph M. Michel, Dimitri Van De Ville
Long-range dependencies make the difference - Comment on "A stochastic model for EEG microstate sequence analysis". NeuroImage 117 (2015)
Djalel Eddine Meskaldji, Lana Vasung, David Romascano, Jean-Philippe Thiran, Patric Hagmann, Stephan Morgenthaler, Dimitri Van De Ville
Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence. NeuroImage 108 (2015)
Valeria Kebets, Jonas Richiardi, Mitsouko van Assche, Rachel Goldstein, M. van der Meulen, Patrik Vuilleumier, Dimitri Van De Ville, Frédéric Assal
Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Joint Modeling of Imaging and Clinical Data. PRNI (2015)
Maria Giulia Preti, Sven Haller, Panteleimon Giannakopoulos, Dimitri Van De Ville
Decomposing dynamic functional connectivity onto phase-dependent eigenconnectivities using the Hilbert transform. ISBI (2015)
Djalel Eddine Meskaldji, Stephan Morgenthaler, Dimitri Van De Ville
New measures of brain functional connectivity by temporal analysis of extreme events. ISBI (2015)
Nora Leonardi, Dimitri Van De Ville
On spurious and real fluctuations of dynamic functional connectivity during rest. NeuroImage 104 (2015)
Nora Leonardi, Dimitri Van De Ville
Erratum to "On spurious and real fluctuations of dynamic functional connectivity during rest". NeuroImage 104 (2015)
Hamid Behjat, Nora Leonardi, Leif Sörnmo, Dimitri Van De Ville
Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping. NeuroImage 123 (2015)
Zafer Dogan, Christopher Gilliam, Thierry Blu, Dimitri Van De Ville
Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach. IEEE Trans. Signal Process. 63 (22) (2015)
Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller
Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets. IEEE Trans. Image Process. 23 (2) (2014)
Virginie Sterpenich, Camille Piguet, Martin Desseilles, Leonardo Ceravolo, Markus Gschwind, Dimitri Van De Ville, Patrik Vuilleumier, Sophie Schwartz
Sleep sharpens sensory stimulus coding in human visual cortex after fear conditioning. NeuroImage 100 (2014)
Maria Giulia Preti, Nora Leonardi, Fikret Isik Karahanoglu, Frédéric Grouiller, Melanie Genetti, Margitta Seeck, Serge Vulliémoz, Dimitri Van De Ville
Epileptic network activity revealed by dynamic functional connectivity in simultaneous EEG-fMRI. ISBI (2014)
Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller
Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities. Medical Image Anal. 18 (1) (2014)
Fikret Isik Karahanoglu, Dimitri Van De Ville
Investigating the spatial and temporal interactions in resting-state fMRI with total activation. ISBI (2014)
Hamid Behjat, Nora Leonardi, Leif Sörnmo, Dimitri Van De Ville
Canonical cerebellar graph wavelets and their application to FMRI activation mapping. EMBC (2014)
Fabien Robineau, Sebastian W. Rieger, C. Mermoud, Swann Pichon, Yury Koush, Dimitri Van De Ville, Patrik Vuilleumier, Frank Scharnowski
Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training. NeuroImage 100 (2014)
Anna Custo, Serge Vulliémoz, Frédéric Grouiller, Dimitri Van De Ville, Christoph M. Michel
EEG source imaging of brain states using spatiotemporal regression. NeuroImage 96 (2014)
Zafer Dogan, Thierry Blu, Dimitri Van De Ville
Detecting spontaneous brain activity in functional magnetic resonance imaging using finite rate of innovation. ISBI (2014)
Djalel Eddine Meskaldji, Dimitri Van De Ville
Multimodal graph theoretical analysis of functional brain connectivity using adaptive two-step strategy. ISBI (2014)
Alessandro Daducci, Dimitri Van De Ville, Jean-Philippe Thiran, Yves Wiaux
. Medical Image Anal. 18 (6) (2014)
Jesus Minguillon, Elvira Pirondini, Martina Coscia, Robert Leeb, José del R. Millán, Dimitri Van De Ville, Silvestro Micera
Modular organization of reaching and grasping movements investigated using EEG microstates. EMBC (2014)
Nora Leonardi, Dimitri Van De Ville
Eigenconnectivities of dynamic functional networks: Consistency across subjects. ACSSC (2014)
Sven Haller, Rotem Kopel, Permi Jhooti, Tanja Haas, Frank Scharnowski, Karl-Olof Lövblad, Klaus Scheffler, Dimitri Van De Ville
Dynamic reconfiguration of human brain functional networks through neurofeedback. NeuroImage 81 (2013)
Jeffrey Kasten, François Lazeyras, Dimitri Van De Ville
Data-driven MRSI spectral localization using non-cartesian sampling trajectories. ISBI (2013)
Jeffrey Kasten, François Lazeyras, Dimitri Van De Ville
Data-Driven MRSI Spectral Localization Via Low-Rank Component Analysis. IEEE Trans. Medical Imaging 32 (10) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dimitri Van De Ville