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ORCIDDimitri Van De Ville
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- affiliation: University of Geneva, Department of Radiology and Medical Informatics, Switzerland
- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2024
[j121]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): 105537 (2024)- [c97]Dimitri Van De Ville, Maria Giulia Preti:
Direct Imaging of Neuronal Activity: A Multivariate Perspective on DIANA Data in Human Subjects. EUSIPCO 2024: 792-796 - [c96]Ilaria Ricchi, Daniel Molinuevo Gomez, Nawal Kinany, Dimitri Van De Ville:
Characterization of the Resting-State Functional Dynamics in the Lumbosacral Spinal Cord. EUSIPCO 2024: 1661-1665 - [c95]Elif Sema Balcioglu, Berkay Doner, Ekansh Sareen, Dimitri Van De Ville, Hamid Behjat:
Joint Subject-Identification and Task-Decoding From Inferred Functional Brain Graphs Via a Multi-Task Neural Network. ISBI 2024: 1-5 - [c94]Maria Giulia Preti, Dimitri Van De Ville:
Temporal Fluctuations of Brain Structure-Function Coupling as a Potential Marker of Drowsiness During Resting State. ISBI 2024: 1-5 - 2023
- [j120]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: 120174 (2023) - [j119]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): 61-71 (2023) - [c93]Maliheh Miri, Vahid Abootalebi, Enrico Amico, Hamid Saeedi Sourck, Dimitri Van De Ville, Hamid Behjat:
Brain Fingerprinting Using EEG Graph Inference. EUSIPCO 2023: 1025-1029 - [c92]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: 1-5 - [c91]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: 1-5 - 2022
- [j118]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): 1148 (2022) - [j117]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: 118862 (2022) - [j116]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: 118964 (2022) - [j115]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: 118970 (2022) - [j114]Ilaria Ricchi, Anjali Tarun, Hermina Petric Maretic, Pascal Frossard, Dimitri Van De Ville:
Dynamics of functional network organization through graph mixture learning. NeuroImage 252: 119037 (2022) - [j113]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: 119201 (2022) - [j112]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): 897-917 (2022) - [c90]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: 52-60 - 2021
- [j111]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: 117760 (2021) - [j110]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: 118207 (2021) - [j109]Ekansh Sareen, Sélima Zahar, Dimitri Van De Ville, Anubha Gupta, Alessandra Griffa, Enrico Amico:
Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations. NeuroImage 240: 118331 (2021) - [j108]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: 118377 (2021) - [j107]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: 118471 (2021) - [j106]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: 118518 (2021) - [c89]Alessandra Griffa, Dimitri Van De Ville, Maria Giulia Preti:
Structure-function dependencies as informative features for brain decoding and fingerprinting. ACSCC 2021: 1284-1287 - 2020
- [j105]Thomas William Arthur Bolton, Valeria Kebets, Enrico Glerean, Daniela Zöller, Jingwei Li, B. T. Thomas Yeo, César Caballero-Gaudes, Dimitri Van De Ville:
Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI. NeuroImage 209: 116433 (2020) - [j104]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: 116621 (2020) - [j103]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: 116635 (2020) - [j102]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: 116718 (2020) - [j101]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: 116571 (2020) - [j100]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: 117370 (2020) - [j99]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): 11-13 (2020) - [j98]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): 150-159 (2020) - [j97]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): 1094-1103 (2020) - [c88]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: 168-180 - [c87]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: 549-553
2010 – 2019
- 2019
- [j96]Yury Koush, Nemanja Masala, Frank Scharnowski, Dimitri Van De Ville:
Data-driven tensor independent component analysis for model-based connectivity neurofeedback. NeuroImage 184: 214-226 (2019) - [j95]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: 857-864 (2019) - [j94]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: 106-115 (2019) - [j93]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: 421-429 (2019) - [j92]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: 42-54 (2019) - [j91]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: 590-600 (2019) - [j90]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): 291-302 (2019) - [j89]Hamid Behjat, Zafer Dogan, Dimitri Van De Ville, Leif Sörnmo:
Domain-Informed Spline Interpolation. IEEE Trans. Signal Process. 67(15): 3909-3921 (2019) - [c86]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: 84-88 - [c85]Anjali Tarun, David Abramian, Hamid Behjat, Dimitri Van De Ville:
Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri. ISBI 2019: 159-163 - [c84]Thomas William Arthur Bolton, Younes Farouj, Mert Inan, Dimitri Van De Ville:
Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging Data. ISBI 2019: 1545-1549 - [c83]Younes Farouj, Fikret Isik Karahanoglu, Dimitri Van De Ville:
Bold Signal Deconvolution Under Uncertain HÆModynamics: A Semi-Blind Approach. ISBI 2019: 1792-1796 - 2018
- [j88]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): 868-885 (2018) - [j87]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): 230-240 (2018) - [j86]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): 4013-4024 (2018) - [c82]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: 363-367 - [c81]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: 980-984 - [c80]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: 1239-1243 - [c79]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: 1-4 - [i9]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 abs/1812.03684 (2018) - 2017
- [j85]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): 671-682 (2017) - [j84]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: 85-97 (2017) - [j83]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: 497-508 (2017) - [j82]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: 489-503 (2017) - [j81]Maria Giulia Preti, Thomas William Arthur Bolton, Dimitri Van De Ville:
The dynamic functional connectome: State-of-the-art and perspectives. NeuroImage 160: 41-54 (2017) - [j80]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): 1001-1004 (2017) - [j79]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): 1228-1237 (2017) - [c78]Maria Giulia Preti, Dimitri Van De Ville:
Graph slepians to probe into large-scale network organization of resting-state functional connectivity. ACSSC 2017: 1539-1543 - [c77]Maria Giulia Preti, Dimitri Van De Ville:
Fine-scale patterns driving dynamic functional connectivity provide meaningful brain parcellations. EUSIPCO 2017: 2649-2653 - [c76]Thomas Bolton, Dimitri Van De Ville:
Sparse coupled hidden Markov models shed light on resting-state fMRI cross-network interactions. ISBI 2017: 358-361 - [c75]Younes Farouj, Fikret Isik Karahanoglu, Dimitri Van De Ville:
Regularized spatiotemporal deconvolution of fMRI data using gray-matter constrained total variation. ISBI 2017: 472-475 - [i8]Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti:
When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum. CoRR abs/1701.08401 (2017) - [i7]Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti:
Guiding Network Analysis using Graph Slepians: An Illustration for the C. Elegans Connectome. CoRR abs/1708.04657 (2017) - 2016
- [j78]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): 1131-1133 (2016) - [j77]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: 806-812 (2016) - [j76]Elvira Pirondini, A. Vybornova, Martina Coscia, Dimitri Van De Ville:
A Spectral Method for Generating Surrogate Graph Signals. IEEE Signal Process. Lett. 23(9): 1275-1278 (2016) - [j75]Hamid Behjat, Ulrike Richter, Dimitri Van De Ville, Leif Sörnmo:
Signal-Adapted Tight Frames on Graphs. IEEE Trans. Signal Process. 64(22): 6017-6029 (2016) - [c74]Fikret Isik Karahanoglu, Dimitri Van De Ville:
Total-activation regularized deconvolution of resting-state fMRI leads to reproducible networks with spatial overlap. EUSIPCO 2016: 260-264 - [c73]Maria Giulia Preti, Dimitri Van De Ville:
Eigenmaps of dynamic functional connectivity: Voxel-level dominant patterns through eigenvector centrality. ISBI 2016: 988-991 - [c72]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: 1307-1310 - [c71]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: 1311-1314 - [c70]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: 619-626 - [i6]Dimitri Van De Ville:
Steering Macro-Scale Network Community Structure by Micro-Scale Features. CoRR abs/1603.05623 (2016) - 2015
- [j74]Nora Leonardi, Dimitri Van De Ville:
On spurious and real fluctuations of dynamic functional connectivity during rest. NeuroImage 104: 430-436 (2015) - [j73]Nora Leonardi, Dimitri Van De Ville:
Erratum to "On spurious and real fluctuations of dynamic functional connectivity during rest". NeuroImage 104: 464-465 (2015) - [j72]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: 251-264 (2015) - [j71]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: 449-455 (2015) - [j70]Hamid Behjat, Nora Leonardi, Leif Sörnmo, Dimitri Van De Ville:
Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping. NeuroImage 123: 185-199 (2015) - [j69]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): 6024-6036 (2015) - [c69]Djalel Eddine Meskaldji, Stephan Morgenthaler, Dimitri Van De Ville:
New measures of brain functional connectivity by temporal analysis of extreme events. ISBI 2015: 26-29 - [c68]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: 38-41 - [c67]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: 85-88 - 2014
- [j68]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): 176-196 (2014) - [j67]Alessandro Daducci, Dimitri Van De Ville, Jean-Philippe Thiran, Yves Wiaux:
Sparse regularization for fiber ODF reconstruction: From the suboptimality of l2 and l1 priors to l0. Medical Image Anal. 18(6): 820-833 (2014) - [j66]Anna Custo, Serge Vulliémoz, Frédéric Grouiller, Dimitri Van De Ville, Christoph M. Michel:
EEG source imaging of brain states using spatiotemporal regression. NeuroImage 96: 106-116 (2014) - [j65]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: 1-14 (2014) - [j64]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: 608-618 (2014) - [j63]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): 898-908 (2014) - [c66]Nora Leonardi, Dimitri Van De Ville:
Eigenconnectivities of dynamic functional networks: Consistency across subjects. ACSSC 2014: 620-623 - [c65]Hamid Behjat, Nora Leonardi, Leif Sörnmo, Dimitri Van De Ville:
Canonical cerebellar graph wavelets and their application to FMRI activation mapping. EMBC 2014: 1039-1042 - [c64]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: 2093-2096 - [c63]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: 9-12 - [c62]Fikret Isik Karahanoglu, Dimitri Van De Ville:
Investigating the spatial and temporal interactions in resting-state fMRI with total activation. ISBI 2014: 588-591 - [c61]Djalel Eddine Meskaldji, Dimitri Van De Ville:
Multimodal graph theoretical analysis of functional brain connectivity using adaptive two-step strategy. ISBI 2014: 919-922 - [c60]Zafer Dogan, Thierry Blu, Dimitri Van De Ville:
Detecting spontaneous brain activity in functional magnetic resonance imaging using finite rate of innovation. ISBI 2014: 1047-1050 - 2013
- [j62]