Dimitri Van De Ville
Dimitri Van De Ville
Associate Professor of Bioengineering, EPF Lausanne and University of Geneva
Verified email at epfl.ch - Homepage
Cited by
Cited by
The dynamic functional connectome: State-of-the-art and perspectives
MG Preti, TAW Bolton, D Van De Ville
Neuroimage 160, 41-54, 2017
BOLD correlates of EEG topography reveal rapid resting-state network dynamics
J Britz, D Van De Ville, CM Michel
Neuroimage 52 (4), 1162-1170, 2010
On spurious and real fluctuations of dynamic functional connectivity during rest
N Leonardi, D Van De Ville
Neuroimage 104, 430-436, 2015
EEG microstate sequences in healthy humans at rest reveal scale-free dynamics
D Van de Ville, J Britz, CM Michel
Proceedings of the National Academy of Sciences 107 (42), 18179-18184, 2010
Noise reduction by fuzzy image filtering
D Van De Ville, M Nachtegael, D Van der Weken, EE Kerre, W Philips, ...
IEEE transactions on fuzzy systems 11 (4), 429-436, 2003
Complex wavelets for extended depth‐of‐field: A new method for the fusion of multichannel microscopy images
B Forster, D Van De Ville, J Berent, D Sage, M Unser
Microscopy research and technique 65 (1‐2), 33-42, 2004
Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest
N Leonardi, J Richiardi, M Gschwind, S Simioni, JM Annoni, M Schluep, ...
NeuroImage 83, 937-950, 2013
Decoding brain states from fMRI connectivity graphs
J Richiardi, H Eryilmaz, S Schwartz, P Vuilleumier, D Van De Ville
Neuroimage 56 (2), 616-626, 2011
SURE-based non-local means
D Van De Ville, M Kocher
IEEE Signal Processing Letters 16 (11), 973-976, 2009
Decoding of emotional information in voice-sensitive cortices
T Ethofer, D Van De Ville, K Scherer, P Vuilleumier
Current biology 19 (12), 1028-1033, 2009
White-matter connectivity between face-responsive regions in the human brain
M Gschwind, G Pourtois, S Schwartz, D Van De Ville, P Vuilleumier
Cerebral cortex 22 (7), 1564-1576, 2012
Multiresolution monogenic signal analysis using the Riesz–Laplace wavelet transform
M Unser, D Sage, D Van De Ville
IEEE Transactions on Image Processing 18 (11), 2402-2418, 2009
Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks
FI Karahanoğlu, D Van De Ville
Nature communications 6 (1), 1-10, 2015
Three-dimensional solid texture analysis in biomedical imaging: review and opportunities
A Depeursinge, A Foncubierta-Rodriguez, D Van De Ville, H Müller
Medical image analysis 18 (1), 176-196, 2014
Machine learning with brain graphs: predictive modeling approaches for functional imaging in systems neuroscience
J Richiardi, S Achard, H Bunke, D Van De Ville
IEEE Signal processing magazine 30 (3), 58-70, 2013
Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?
K Emmert, R Kopel, J Sulzer, AB Brühl, BD Berman, DEJ Linden, ...
Neuroimage 124, 806-812, 2016
Model-based 2.5-D deconvolution for extended depth of field in brightfield microscopy
F Aguet, D Van De Ville, M Unser
IEEE Transactions on Image Processing 17 (7), 1144-1153, 2008
Musical training intensity yields opposite effects on grey matter density in cognitive versus sensorimotor networks
CE James, MS Oechslin, D Van De Ville, CA Hauert, C Descloux, ...
Brain Structure and Function 219 (1), 353-366, 2014
Isotropic polyharmonic B-splines: Scaling functions and wavelets
D Van De Ville, T Blu, M Unser
IEEE Transactions on Image Processing 14 (11), 1798-1813, 2005
Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI
Y Koush, MJ Rosa, F Robineau, K Heinen, SW Rieger, N Weiskopf, ...
Neuroimage 81, 422-430, 2013
The system can't perform the operation now. Try again later.
Articles 1–20