Dimitri Van De Ville

发表

Detecting spontaneous brain activity in functional magnetic resonance imaging using finite rate of innovation

Zafer Dogan, Thierry Blu, Dimitri Van De Ville, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Isotropic-polyharmonic B-splines and wavelets

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Investigating the spatial and temporal interactions in resting-state fMRI with total activation

Dimitri Van De Ville, Fikret Isik Karahanoglu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Connectivity searchlight: A novel approach for MRI information mapping using multivariate connectivity

Dimitri Van De Ville, Soheil Faridi, Jonas Richiardi, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images.

Dimitri Van De Ville, Matthias Stuber, Jonas Richiardi, 2020, Radiology. Artificial intelligence.

Gabor spectrogram based risk of aliasing

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2000 .

Functional optical coherent imaging platform for medical application e.g. neurosurgery, has active camera unit that captures image of specific region of test subject after transmitting stimulus signals

Dimitri Van De Ville, Michael Friedrich, Theo Lasser, 2010 .

Software and hardware implementation of an improved lossless halftone image compression algorithm

Dimitri Van De Ville, Ignace Lemahieu, Koen Denecker, 1998 .

An Overview of Wavelet-Based Techniques for fMRI Data Analysis

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2006 .

False Discovery Rate for Wavelet-Based Statistical Parametric Mapping

Dimitri Van De Ville, Michael Unser, M. Unser, 2008, IEEE Journal of Selected Topics in Signal Processing.

Functional connectivity eigennetworks reveal different brain dynamics in multiple sclerosis patients

Dimitri Van De Ville, Jonas Richiardi, Nora Leonardi, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Image denoising using a multiscale nonlinear filtering technique

Aleksandra Pizurica, Dimitri Van De Ville, Wilfried Philips, 1999 .

Analytical Footprints: Compact Representation of Elementary Singularities in Wavelet Bases

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2010, IEEE Transactions on Signal Processing.

An overview of resampling filters for halftoned images

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 1999 .

Practical Box Splines for Reconstruction on the Body Centered Cubic Lattice

Dimitri Van De Ville, Alireza Entezari, Torsten Möller, 2008, IEEE Transactions on Visualization and Computer Graphics.

Dynamic Functional Connectivity of Resting-State Spinal Cord fMRI Reveals Fine-Grained Intrinsic Architecture

Dimitri Van De Ville, Elvira Pirondini, Nawal Kinany, 2020, Neuron.

Bold Signal Deconvolution Under Uncertain HÆModynamics: A Semi-Blind Approach

Dimitri Van De Ville, Fikret Isik Karahanoglu, Younes Farouj, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Regularized spatiotemporal deconvolution of fMRI data using gray-matter constrained total variation

Dimitri Van De Ville, Fikret Isik Karahanoglu, Younes Farouj, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Statistics for brain connectomics revisited by two-step procedures

Dimitri Van De Ville, Djalel Meskaldji, 2014 .

Fast Computation of Polyharmonic B-Spline Autocorrelation Filters

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2008, IEEE Signal Processing Letters.

Classifying Connectivity Graphs Using Graph and Vertex Attributes

Dimitri Van De Ville, Edward T. Bullmore, Jonas Richiardi, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

Higher-order riesz transforms and steerablewavelet frames

Dimitri Van De Ville, Michael Unser, M. Unser, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Wavelet-based multi-resolution statistics for optical imaging signals: Application to automated detection of odour activated glomeruli in the mouse olfactory bulb

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2007, NeuroImage.

The dynamic functional connectome: State-of-the-art and perspectives

Dimitri Van De Ville, Maria Giulia Preti, Thomas A. W. Bolton, 2017, NeuroImage.

Improved MRSI with field inhomogeneity compensation

Dimitri Van De Ville, Mathews Jacob, Michael Unser, 2006, SPIE Medical Imaging.

Three-directional box-splines: characterization and efficient evaluation

Dimitri Van De Ville, Laurent Condat, Laurent Condat, 2006, IEEE Signal Processing Letters.

A Signal Processing Approach to Generalized 1-D Total Variation

Dimitri Van De Ville, Fikret Isik Karahanoglu, Ilker Bayram, 2011, IEEE Transactions on Signal Processing.

Image scrambling without bandwidth expansion

Rik Van de Walle, Dimitri Van De Ville, Wilfried Philips, 2004, IEEE Transactions on Circuits and Systems for Video Technology.

A new non-linear filter for video processing.

Vladimir Zlokolica, Dimitri Van De Ville, Wilfried Philips, 2002 .

3D reconstruction of wave-propagated point sources from boundary measurements using joint sparsity and finite rate of innovation

Zafer Dogan, Thierry Blu, Dimitri Van De Ville, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Graph Signal Processing of Human Brain Imaging Data

Alejandro Ribeiro, Dimitri Van De Ville, Danielle S. Bassett, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Noise reduction by fuzzy image filtering

Dimitri Van De Ville, Etienne E. Kerre, Wilfried Philips, 2003, IEEE Trans. Fuzzy Syst..

Guided graph spectral embedding: Application to the C. elegans connectome

Dimitri Van De Ville, Maria Giulia Preti, Thomas A. W. Bolton, 2018, Network Neuroscience.

Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest

Dimitri Van De Ville, Jean-Marie Annoni, Jonas Richiardi, 2013, NeuroImage.

WSPM or How to Obtain Statistical Parametric Maps using Shift-Invariant Wavelet Processing

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Motion adaptive de-interlacing using fuzzy logic

Rik Van de Walle, Dimitri Van De Ville, Wilfried Philips, 2002 .

New fuzzy filter for Gaussian noise reduction

Dimitri Van De Ville, Etienne E. Kerre, Wilfried Philips, 2000, IS&T/SPIE Electronic Imaging.

Joint texture and topography estimation for extended depth of field in brightfield microscopy

Dimitri Van De Ville, Michael Unser, François Aguet, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Least-squares spline resampling to a hexagonal lattice

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2002, Signal Process. Image Commun..

Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment

Dimitri Van De Ville, Adrien Depeursinge, Omar S. Al-Kadi, 2016, MICCAI.

H2O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering

Dimitri Van De Ville, Brigitte Forster-Heinlein, Laurent Condat, 2007, 2007 IEEE International Conference on Image Processing.

Efficient volume rendering on the body centered cubic lattice using box splines

Dimitri Van De Ville, Alireza Entezari, Torsten Möller, 2010, Comput. Graph..

Nonideal Sampling and Regularization Theory

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2008, IEEE Transactions on Signal Processing.

Dynamic mode decomposition of resting-state and task fMRI

Dimitri Van De Ville, B. T. Thomas Yeo, Wang Chi, 2019, NeuroImage.

Decoding brain states from fMRI connectivity graphs

Dimitri Van De Ville, Jonas Richiardi, Patrik Vuilleumier, 2011, NeuroImage.

Impact of transient emotions on functional connectivity during subsequent resting state: A wavelet correlation approach

Dimitri Van De Ville, Patrik Vuilleumier, Hamdi Eryilmaz, 2011, NeuroImage.

Sampling in practice: is the best reconstruction space bandlimited?

Dimitri Van De Ville, Michael Unser, Sathish Ramani, 2005, IEEE International Conference on Image Processing 2005.

Spread spectrum for compressed sensing techniques in magnetic resonance imaging

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

New measure to capture dynamic features of brain functional connectivity

Dimitri Van De Ville, Stephan Morgenthaler, Djalel Eddine Meskaldji, 2015 .

Lung Texture Classification Using Locally-Oriented Riesz Components

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2011, MICCAI.

Nonlinear resampling for both moire suppression and edge preservation

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 1998, Electronic Imaging.

Dynamic reconfiguration of human brain functional networks through neurofeedback

Dimitri Van De Ville, Klaus Scheffler, Sven Haller, 2013, NeuroImage.

Multiscale Lung Texture Signature Learning Using the Riesz Transform

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2012, MICCAI.

Disentangling resting-state BOLD variability and PCC functional connectivity in 22q11.2 deletion syndrome

Dimitri Van De Ville, Stephan Eliez, Marie Schaer, 2017, NeuroImage.

Implications for compressed sensing of a new sampling theorem on the sphere pdf

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, 2011, ArXiv.

Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions

Dimitri Van De Ville, Ignace Lemahieu, Ildar Khalidov, 2008, IEEE Transactions on Medical Imaging.

Extended depth-of-focus for multi-channel microscopy images: a complex wavelet approach

Dimitri Van De Ville, Michael Unser, Brigitte Forster-Heinlein, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Wavelet-Based Detection of Stimulus Responses in Time-Lapse Microscopy

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

High Time-Resolved Cardiac Functional Imaging Using Temporal Regularization for Small Animal on a Clinical 3T Scanner

Dimitri Van De Ville, Jean-Noël Hyacinthe, Jean-Paul Vallée, 2012, IEEE Transactions on Biomedical Engineering.

Sparse signal reconstruction on the sphere: implications of a new sampling theorem pdf

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, 2012, ArXiv.

Evaluation of several operators for fuzzy-based motion adaptive de-interlacing.

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 1999 .

Suppression of sampling moire in color printing by spline-based least-squares prefiltering

Rik Van de Walle, Dimitri Van De Ville, Wilfried Philips, 2003, Pattern Recognit. Lett..

Image scrambling using an optimal basis with isotropic energy concentration.

Dimitri Van De Ville, Ignace Lemahieu, Wilfried Philips, 2001 .

Structured sparse deconvolution for paradigm free mapping of functional MRI data

Dimitri Van De Ville, Fikret Isik Karahanoglu, César Caballero-Gaudes, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Non-Ideal Sampling and Adapted Reconstruction Using the Stochastic Matern Model

Dimitri Van De Ville, Michael Unser, Sathish Ramani, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Sketchy decisions: convex optimization with optimal storage (Conference Presentation)

Dimitri Van De Ville, Joel A. Tropp, Yue M. Lu, 2017 .

Wavelet-based fMRI statistical analysis and spatial interpretation: a unifying approach

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Introduction to the Issue on Advanced Signal Processing for Brain Networks

Dimitri Van De Ville, Stephen C. Strother, Jonas Richiardi, 2016, IEEE J. Sel. Top. Signal Process..

Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames

Dimitri Van De Ville, Antoine Geissbühler, Henning Müller, 2012, IEEE Transactions on Information Technology in Biomedicine.

Analytical form of Shepp-Logan phantom for parallel MRI

Dimitri Van De Ville, Fikret Isik Karahanoglu, Klaas Paul Pruessmann, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Statistical parametric mapping of functional MRI data using wavelets adapted to the cerebral cortex

Dimitri Van De Ville, Nora Leonardi, Hamid Behjat, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Itertative back-projection techniques for non-line-of-sight imaging (Conference Presentation)

Dimitri Van De Ville, Marco La Manna, Yue M. Lu, 2017 .

Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Silvestro Micera, Dimitri Van De Ville, Elvira Pirondini, 2019, NeuroImage.

Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience

Dimitri Van De Ville, Horst Bunke, Jonas Richiardi, 2013, IEEE Signal Processing Magazine.

Head-controlled mouse system using a low-budget webcam

Rik Van de Walle, Dimitri Van De Ville, Wilfried Philips, 2002 .

Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity

Dimitri Van De Ville, Jean-Marie Annoni, Jonas Richiardi, 2012, NeuroImage.

Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri

Dimitri Van De Ville, David Abramian, Hamid Behjat, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Wavelet Steerability and the Higher-Order Riesz Transform

Dimitri Van De Ville, Michael Unser, M. Unser, 2010, IEEE Transactions on Image Processing.

Non-linear resampling for printing applications

Dimitri Van De Ville, 2000 .

Quantification of Resting-State fMRI Networks Driven by Hemodynamically Informed Spatiotemporal Regularization

Dimitri Van De Ville, Fikret Isik Karahanoglu, Patrik Vuilleumier, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Decomposing dynamic functional connectivity onto phase-dependent eigenconnectivities using the Hilbert transform

Dimitri Van De Ville, Maria Giulia Preti, Sven Haller, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Invariances, Laplacian-Like Wavelet Bases, and the Whitening of Fractal Processes

Dimitri Van De Ville, Michael Unser, Pouya Dehghani Tafti, 2009, IEEE Transactions on Image Processing.

Eigenconnectivities of dynamic functional connectivity: Consistency across subjects

Dimitri Van De Ville, Nora Leonardi, 2014, ASILOMAR 2014.

The monogenic Riesz-Laplace wavelet transform

Dimitri Van De Ville, Michael Unser, Katarina Balac, 2008, 2008 16th European Signal Processing Conference.

SURE-Based Non-Local Means

Dimitri Van De Ville, Michel Kocher, M. Kocher, 2009, IEEE Signal Processing Letters.

On the feasibility of axial tracking of a fluorescent nanoparticle using a defocusing model

Dimitri Van De Ville, Michael Unser, Nadja Subotic, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Spatial mapping of interictal epileptic discharges in fMRI with total activation

Dimitri Van De Ville, Frédéric Grouiller, Fikret Isik Karahanoglu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Erratum to “On spurious and real fluctuations of dynamic functional connectivity during rest”

Dimitri Van De Ville, Nora Leonardi, D. Ville, 2015, NeuroImage.

SXML: Streaming XML

Rik Van de Walle, Dimitri Van De Ville, Wilfried Philips, 1999 .

Reversible, Fast, and High-Quality Grid Conversions

Dimitri Van De Ville, Brigitte Forster-Heinlein, Laurent Condat, 2008, IEEE Transactions on Image Processing.

Image resampling between orthogonal and hexagonal lattices

Rik Van de Walle, Dimitri Van De Ville, Wilfried Philips, 2002, Proceedings. International Conference on Image Processing.

Multiresolution Monogenic Signal Analysis Using the Riesz–Laplace Wavelet Transform

Dimitri Van De Ville, Michael Unser, Daniel Sage, 2009, IEEE Transactions on Image Processing.

Multivariate and predictive modelling of neural variability in mild cognitive impairment

Dimitri Van De Ville, Reto Meuli, Tobias Kober, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis

Dimitri Van De Ville, John Ashburner, Peter Zeidman, 2017, NeuroImage.

Activelets: Wavelets for sparse representation of hemodynamic responses

Mohamed-Jalal Fadili, Dimitri Van De Ville, Michael Unser, 2011, Signal Process..

The control of the scaled false discovery rate, a flexible and comprehensive error control and a powerful theoretical tool in multiple testing

Dimitri Van De Ville, Stephan Morgenthaler, Djalel Eddine Meskaldji, 2015 .

Speeding up sparse signal recovery using sparse-graph codes (Conference Presentation)

Dimitri Van De Ville, Kannan Ramchandran, Yue M. Lu, 2017 .

Mapping interictal epileptic discharges using mutual information between concurrent EEG and fMRI

Dimitri Van De Ville, Frédéric Grouiller, César Caballero-Gaudes, 2013, NeuroImage.

Nonlinear resampling for edge preserving moiré suppression

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2000, J. Electronic Imaging.

Epileptic network activity revealed by dynamic functional connectivity in simultaneous EEG-fMRI

Dimitri Van De Ville, Maria Giulia Preti, Frédéric Grouiller, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

The Pairing of a Wavelet Basis With a Mildly Redundant Analysis via Subband Regression

Dimitri Van De Ville, Michael Unser, M. Unser, 2008, IEEE Transactions on Image Processing.

Spread Spectrum Magnetic Resonance Imaging

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, 2012, IEEE Transactions on Medical Imaging.

First-person body view modulates the neural substrates of episodic memory and autonoetic consciousness: A functional connectivity study

Dimitri Van De Ville, Baptiste Gauthier, Olaf Blanke, 2020, NeuroImage.

Laser Doppler imaging for intraoperative human brain mapping

Dimitri Van De Ville, Rainer A. Leitgeb, Michael Unser, 2009, NeuroImage.

Brain decoding: Opportunities and challenges for pattern recognition

Dimitri Van De Ville, Seong-Whan Lee, Seong-Whan Lee, 2012, Pattern Recognit..

Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid

Dimitri Van De Ville, Michael Unser, M. Unser, 2008, IEEE Transactions on Image Processing.

On the multidimensional extension of the quincunx subsampling matrix

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2005, IEEE Signal Processing Letters.

The Marr wavelet pyramid and multiscale directional image analysis

Dimitri Van De Ville, Michael Unser, Daniel Sage, 2008, 2008 16th European Signal Processing Conference.

An objective quality measure for the assessment of aliasing and sharpness in halftones.

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2000 .

A Spectral Method for Generating Surrogate Graph Signals

Dimitri Van De Ville, Elvira Pirondini, Martina Coscia, 2016, IEEE Signal Processing Letters.

Improved statistical evaluation of group differences in connectomes by screening–filtering strategy with application to study maturation of brain connections between childhood and adolescence

Jean-Philippe Thiran, Dimitri Van De Ville, Patric Hagmann, 2015, NeuroImage.

Recursive filtering for splines on hexagonal lattices

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI

Dimitri Van De Ville, Nikolaus Weiskopf, Patrik Vuilleumier, 2019, NeuroImage.

Total-activation regularized deconvolution of resting-state fMRI leads to reproducible networks with spatial overlap

Dimitri Van De Ville, Fikret Isik Karahanoglu, D. Ville, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

BOLD correlates of EEG topography reveal rapid resting-state network dynamics

Dimitri Van De Ville, Christoph M. Michel, Juliane Britz, 2010, NeuroImage.

Adapting mobile multimedia applications to changing end-user preferences.

Rik Van de Walle, Dimitri Van De Ville, Boris Rogge, 2002 .

EEG source localization by multi-planar analytic sensing

Thierry Blu, Dimitri Van De Ville, Christoph M. Michel, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Detecting neuronal activity from calcium imaging data using FRI methods (Conference Presentation)

Dimitri Van De Ville, Yue M. Lu, Simon R. Schultz, 2017 .

An accurate PSF model with few parameters for axially shift-variant deconvolution

Dimitri Van De Ville, Michael Unser, François Aguet, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

On the Evaluation of Fuzzy Filters

Dimitri Van De Ville, Wilfried Philips, Etienne Kerre, 2002 .

Data-driven MRSI spectral localization using non-cartesian sampling trajectories

Dimitri Van De Ville, François Lazeyras, Jeffrey Kasten, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Deinterlacing using fuzzy-based motion detection

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 1999, 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410).

Integrated wavelet processing and spatial statistical testing of fMRI data

Dimitri Van De Ville, Michael Unser, Thierry Blu, 2004, NeuroImage.

Traces of human functional activity: Moment-to-moment fluctuations in fMRI data

Dimitri Van De Ville, Vittorio Murino, Diego Sona, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Total activation: fMRI deconvolution through spatio-temporal regularization

Dimitri Van De Ville, Fikret Isik Karahanoglu, César Caballero-Gaudes, 2013, NeuroImage.

Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

Dimitri Van De Ville, B. T. Thomas Yeo, Enrico Glerean, 2019, NeuroImage.

Fuzzy-Based Motion Detection and Its Application to De-Interlacing

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2000 .

Image scrambling using 2D DPSS

Rik Van de Walle, Dimitri Van De Ville, Wilfried Philips, 2001 .

Design of an improved lossless halftone image compression codec

Dimitri Van De Ville, Ignace Lemahieu, Frederik Habils, 2002, Signal Process. Image Commun..

Steerable pyramids and tight wavelet frames in L 2 ( R d )

Dimitri Van De Ville, Michael Unser, Nicolas Chenouard, 2011 .

Rotation–Covariant Texture Learning Using Steerable Riesz Wavelets

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2014, IEEE Transactions on Image Processing.

Structural mediation of human brain activity revealed by white-matter interpolation of fMRI

Dimitri Van De Ville, David Abramian, Hamid Behjat, 2019, NeuroImage.

Eigenmaps of dynamic functional connectivity: Voxel-level dominant patterns through eigenvector centrality

Dimitri Van De Ville, Maria Giulia Preti, D. Ville, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Accepted for Publication in Ieee Transactions on Image Processing Hex-splines: a Novel Spline Family for Hexagonal Lattices

Rik Van de Walle, Thierry Blu, Dimitri Van De Ville, 2022 .

Innovation modelling and wavelet analysis of fractal processes in bio-imaging

Dimitri Van De Ville, Michael Unser, Pouya Dehghani Tafti, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Visually uniform near-lossless (CMYK) image compression.

Dimitri Van De Ville, Ignace Lemahieu, Koen Denecker, 1999 .

Long-range dependencies make the difference—Comment on “A stochastic model for EEG microstate sequence analysis”

Dimitri Van De Ville, Christoph M. Michel, Markus Gschwind, 2015, NeuroImage.

Isotropic polyharmonic B-splines: scaling functions and wavelets

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2005, IEEE Transactions on Image Processing.

Data-Driven MRSI Spectral Localization Via Low-Rank Component Analysis

Dimitri Van De Ville, François Lazeyras, Jeffrey Kasten, 2013, IEEE Transactions on Medical Imaging.

WSPM: Wavelet-based statistical parametric mapping

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2007, NeuroImage.

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2014, Medical Image Anal..

Quasi-Interpolating Spline Models for Hexagonally-Sampled Data

Dimitri Van De Ville, Laurent Condat, 2007, IEEE Transactions on Image Processing.

An overview of fuzzy filters for noise reduction

Dimitri Van De Ville, Etienne E. Kerre, Wilfried Philips, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Eigenconnectivities of dynamic functional networks: Consistency across subjects

Dimitri Van De Ville, Nora Leonardi, D. Ville, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Brain networks for engaging oneself in positive-social emotion regulation

Dimitri Van De Ville, Swann Pichon, Simon B. Eickhoff, 2019, NeuroImage.

Suppressing sampling moiré by least-squares prefiltering in color printing

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2002, CGIV.

Wavelet frames on graphs defined by fMRI functional connectivity

Dimitri Van De Ville, Nora Leonardi, D. Ville, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Polyharmonic smoothing splines and the multidimensional Wiener filtering of fractal-like signals

Dimitri Van De Ville, Michael Unser, Shai Tirosh, 2006, IEEE Transactions on Image Processing.

Signal-Adapted Tight Frames on Graphs

Dimitri Van De Ville, Leif Sörnmo, Ulrike Richter, 2016, IEEE Transactions on Signal Processing.

Validating MPEG-21 encapsulated functional metadata

Rik Van de Walle, Dimitri Van De Ville, Ignace Lemahieu, 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

A quality measure for halftones obtained by linear and nonlinear resampling.

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2000 .

Fully reversible image rotation by 1-D filtering

Dimitri Van De Ville, Laurent Condat, 2008, 2008 15th IEEE International Conference on Image Processing.

Recovery guarantees for low complexity models (Conference Presentation)

Dimitri Van De Ville, Gabriel Peyré, Yue M. Lu, 2017 .

EEG source imaging of brain states using spatiotemporal regression

Dimitri Van De Ville, Christoph M. Michel, Frédéric Grouiller, 2014, NeuroImage.

Sampling theorems and compressive sensing on the sphere

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, 2011, Optical Engineering + Applications.

Recovery of continuous domain piecewise smooth images: theory, algorithms, and applications (Conference Presentation)

Dimitri Van De Ville, Yue M. Lu, Mathews Jacob, 2017 .

TbCAPs: A toolbox for co-activation pattern analysis

Dimitri Van De Ville, Baptiste Gauthier, Thomas A. W. Bolton, 2019, NeuroImage.

Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?

Dimitri Van De Ville, Sven Haller, Christian Paret, 2016, NeuroImage.

On the measurement of aliasing and sharpness in halftones.

Dimitri Van De Ville, Ignace Lemahieu, Wilfried Philips, 2000 .

Sparsity Averaging for Compressive Imaging

Jean-Philippe Thiran, Dimitri Van De Ville, Yves Wiaux, 2012, IEEE Signal Processing Letters.

Eigensensing and deconvolution for the reconstruction of heat absorption profiles from photoacoustic tomography data

Zafer Dogan, Thierry Blu, Dimitri Van De Ville, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

An orthogonal family of quincunx wavelets with continuously adjustable order

Dimitri Van De Ville, Michael Unser, Manuela Feilner, 2005, IEEE Transactions on Image Processing.

Dynamic reorganization of intrinsic functional networks in the mouse brain

Dimitri Van De Ville, Maria Giulia Preti, Joanes Grandjean, 2017, NeuroImage.

Analytic Sensing: Noniterative Retrieval of Point Sources from Boundary Measurements

Thierry Blu, Dimitri Van De Ville, Djano Kandaswamy, 2009, SIAM J. Sci. Comput..

Wavelet-regularized reconstruction for rapid MRI

Dimitri Van De Ville, Michael Unser, Klaas Paul Pruessmann, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI☆

Dimitri Van De Ville, Nikolaus Weiskopf, Patrik Vuilleumier, 2013, Neuroimage.

Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training

Dimitri Van De Ville, Sven Haller, Frank Scharnowski, 2017, IEEE Transactions on Biomedical Engineering.

On spurious and real fluctuations of dynamic functional connectivity during rest

Dimitri Van De Ville, Nora Leonardi, D. Ville, 2015, NeuroImage.

Tight Wavelet Frames on Multislice Graphs

Dimitri Van De Ville, Nora Leonardi, D. Ville, 2013, IEEE Transactions on Signal Processing.

Neural responses in autism during movie watching: Inter-individual response variability co-varies with symptomatology

Dimitri Van De Ville, Thomas A. W. Bolton, Anne-Lise Giraud, 2020, NeuroImage.

Metadata-based access to multimedia architectural and historical archive collections: a review

Rik Van de Walle, Dimitri Van De Ville, Boris Rogge, 2002, Aslib Proc..

Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data

Dimitri Van De Ville, F. DuBois Bowman, Rajan S. Patel, 2006, NeuroImage.

Model-Based 2.5-D Deconvolution for Extended Depth of Field in Brightfield Microscopy

Dimitri Van De Ville, Michael Unser, François Aguet, 2008, IEEE Transactions on Image Processing.

Multimodal graph theoretical analysis of functional brain connectivity using adaptive two-step strategy

Dimitri Van De Ville, Djalel Eddine Meskaldji, D. Ville, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Canonical cerebellar graph wavelets and their application to FMRI activation mapping

Dimitri Van De Ville, Leif Sörnmo, Nora Leonardi, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Proceedings - Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging, WBD 2010 - In Conjunction with the-International Conference on Pattern Recognition, ICPR 2010: Preface

Dimitri Van De Ville, Christos Davatzikos, Janaina Mourao-Miranda, 2010 .

Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human Behaviour

Dimitri Van De Ville, Thomas A. W. Bolton, D. Ville, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Sparse Image Reconstruction on the Sphere: Implications of a New Sampling Theorem

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, 2012, IEEE Transactions on Image Processing.

A Graph Signal Processing View on Functional Brain Imaging pdf

Dimitri Van De Ville, Alejandro Ribeiro, Weiyu Huang, 2017, ArXiv.

Learning-based low-rank Hankel structured matrix approach (Conference Presentation)

Dimitri Van De Ville, Jong Chul Ye, Yue M. Lu, 2017 .

A new method for synchronizing media based on XML.

Rik Van de Walle, Dimitri Van De Ville, Wilfried Philips, 2000 .

Efficient Reconstruction of Hexagonally Sampled Data using Three-Directional Box-Splines

Dimitri Van De Ville, Michael Unser, Laurent Condat, 2006, 2006 International Conference on Image Processing.

Generative Adversarial Networks Improve the Reproducibility and Discriminative Power of Radiomic Features.

Dimitri Van De Ville, Maria Giulia Preti, Xavier Montet, 2020, Radiology. Artificial intelligence.

Hexagonal versus orthogonal lattices: a new comparison using approximation theory

Thierry Blu, Dimitri Van De Ville, Laurent Condat, 2005, IEEE International Conference on Image Processing 2005.

Brain decoding of fMRI connectivity graphs using decision tree ensembles

Dimitri Van De Ville, Jonas Richiardi, Patrik Vuilleumier, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Motion compensated de-interlacing for both real time video and still images

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Spread spectrum for interferometric and magnetic resonance imaging

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training

Dimitri Van De Ville, Swann Pichon, Patrik Vuilleumier, 2014, NeuroImage.

WAVELET-BASED STATISTICAL ANALYSIS FOR OPTICAL IMAGING IN MOUSE OLFACTORY BULB

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns

Dimitri Van De Ville, Petra S. Huppi, Thomas A. W. Bolton, 2020, NeuroImage.

Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection

Dimitri Van De Ville, Dimitri Kocher, D. Ville, 2011, IEEE Transactions on Image Processing.

Anatomically adapted wavelets for integrated statistical analysis of fMRI data

Dimitri Van De Ville, S. Gorkem Ozkaya, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Predicting individual scores from resting state fMRI using partial least squares regression

Dimitri Van De Ville, Maria Giulia Preti, Sven Haller, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Polyharmonic smoothing splines for multi-dimensional signals with 1/ /spl par//spl omega//spl par//sup /spl tau//-like spectra [image denoising applications]

Dimitri Van De Ville, Michael Unser, Shai Tirosh, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Recovery of the default mode network after demanding neurofeedback training occurs in spatio-temporally segregated subnetworks

Dimitri Van De Ville, Klaus Scheffler, Sven Haller, 2012, NeuroImage.

Guiding network analysis using graph slepians: an illustration for the C. Elegans connectome

Dimitri Van De Ville, Maria Giulia Preti, Robin Demesmaeker, 2017, Optical Engineering + Applications.

Music processing in preterm and full-term newborns: A psychophysiological interaction (PPI) approach in neonatal fMRI

Dimitri Van De Ville, Frédéric Grouiller, Didier Grandjean, 2019, NeuroImage.

Vector Space Embedding of Undirected Graphs with Fixed-cardinality Vertex Sequences for Classification

Dimitri Van De Ville, Kaspar Riesen, Horst Bunke, 2010, 2010 20th International Conference on Pattern Recognition.

Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Joint Modeling of Imaging and Clinical Data

Dimitri Van De Ville, Jonas Richiardi, Patrik Vuilleumier, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Local multilayer analytic sensing for EEG source localization: Performance bounds and experimental results

Thierry Blu, Dimitri Van De Ville, Christoph M. Michel, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Identifying Network Correlates of Brain States Using Tensor Decompositions of Whole-Brain Dynamic Functional Connectivity

Dimitri Van De Ville, Nora Leonardi, D. Ville, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

SUB-RESOLUTION MAXIMUM-LIKELIHOOD BASED LOCALIZATION OF FLUORESCENT NANOPARTICLES IN THREE DIMENSIONS

Dimitri Van De Ville, Michael Unser, François Aguet, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The impact of denoising on independent component analysis of functional magnetic resonance imaging data

Dimitri Van De Ville, Thierry Pun, Sviatoslav Voloshynovskiy, 2013, Journal of Neuroscience Methods.

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach

Zafer Dogan, Thierry Blu, Dimitri Van De Ville, 2015, IEEE Transactions on Signal Processing.

Graph slepians to probe into large-scale network organization of resting-state functional connectivity

Dimitri Van De Ville, Maria Giulia Preti, D. Ville, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion

Dimitri Van De Ville, Henning Müller, Adrien Depeursinge, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Electroencephalographic Resting-State Networks: Source Localization of Microstates

Dimitri Van De Ville, Christoph M. Michel, William M. Wells, 2017, Brain Connect..

Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications

Vince D. Calhoun, Dimitri Van De Ville, Martin J. McKeown, 2013, IEEE Trans. Multim..

Sleep sharpens sensory stimulus coding in human visual cortex after fear conditioning

Dimitri Van De Ville, Patrik Vuilleumier, Markus Gschwind, 2014, NeuroImage.

New optimized spline functions for interpolation on the hexagonal lattice

Dimitri Van De Ville, Laurent Condat, 2008, 2008 15th IEEE International Conference on Image Processing.

Sparse regularization for fiber ODF reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$

Jean-Philippe Thiran, Dimitri Van De Ville, Yves Wiaux, 2012, 1208.2247.

Data-driven tensor independent component analysis for model-based connectivity neurofeedback

Dimitri Van De Ville, Frank Scharnowski, Yury Koush, 2019, NeuroImage.

Modular organization of reaching and grasping movements investigated using EEG microstates

Silvestro Micera, Dimitri Van De Ville, José del R. Millán, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An XML-based framework for content adaption.

Rik Van de Walle, Dimitri Van De Ville, Jan Van Campenhout, 2002 .

Fine-scale patterns driving dynamic functional connectivity provide meaningful brain parcellations

Dimitri Van De Ville, Maria Giulia Preti, D. Ville, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

The Marr wavelet pyramid

Dimitri Van De Ville, Michael Unser, 2008, 2008 15th IEEE International Conference on Image Processing.

Steering Macro-Scale Network Community Structure by Micro-Scale Features pdf

Dimitri Van De Ville, D. Ville, 2016, ArXiv.

High‐Quality Volumetric Reconstruction on Optimal Lattices for Computed Tomography

Dimitri Van De Ville, Torsten Möller, Usman R. Alim, 2009, Comput. Graph. Forum.

Graph slepians to strike a balance between local and global network interactions: Application to functional brain imaging

Dimitri Van De Ville, Younes Farouj, Thomas A. W. Bolton, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging Data

Dimitri Van De Ville, Younes Farouj, Thomas A. W. Bolton, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

Dimitri Van De Ville, Leif Sörnmo, Nora Leonardi, 2015, NeuroImage.

BSLIM: Spectral Localization by Imaging With Explicit $B_{0}$ Field Inhomogeneity Compensation

Dimitri Van De Ville, Mathews Jacob, Michael Unser, 2007, IEEE Transactions on Medical Imaging.

A comparative study of classical and fuzzy filters for noise reduction

Dimitri Van De Ville, Etienne E. Kerre, Wilfried Philips, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Wavelets adapted to brain anatomy and their application to fMRI data denoising

Dimitri Van De Ville, Leif Sörnmo, Nora Leonardi, 2014 .

New measures of brain functional connectivity by temporal analysis of extreme events

Dimitri Van De Ville, Stephan Morgenthaler, Djalel Eddine Meskaldji, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Large-scale functional network dynamics in human callosal agenesis: Increased subcortical involvement and preserved laterality

Dimitri Van De Ville, Younes Farouj, Anjali Tarun, 2021, NeuroImage.

Temporal complexity of fMRI is reproducible and correlates with higher order cognition

Dimitri Van De Ville, Andrew Zalesky, Graeme D. Jackson, 2021, NeuroImage.

Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations

Enrico Amico, Dimitri Van De Ville, Alessandra Griffa, 2021, NeuroImage.

Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis

Dimitri Van De Ville, Raphaël Liégeois, B. T. Thomas Yeo, 2021, NeuroImage.

Dynamic functional brain networks underlying the temporal inertia of negative emotions

Dimitri Van De Ville, Patrik Vuilleumier, Julian Gaviria, 2021, NeuroImage.

Decoding of Emotional Information in Voice-Sensitive Cortices

Dimitri Van De Ville, Patrik Vuilleumier, Thomas Ethofer, 2009, Current Biology.

On the N-dimensional extension of the discrete prolate spheroidal window

Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu, 2002, IEEE Signal Processing Letters.

Resting-state neuroimaging unravels functional organization in the brain

Dimitri Van De Ville, Fikret Isik Karahanoglu, 2016 .

Meta-analysis of real-time fMRI neurofeedback studies: how is brain regulation mediated?

Dimitri Van De Ville, Sven Haller, David E. J. Linden, 2018 .

Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion (Conference Presentation)

Dimitri Van De Ville, Jian-Feng Cai, Yue M. Lu, 2017 .

Accelerated MR imaging with spread spectrum encoding

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, 2011 .

Wavelet Steerability and the Higher-Order

Dimitri Van De Ville, Michael Unser, M. Unser, 2010 .

Shift-invariant Spaces from Rotation-covariant Functions

Thierry Blu, Dimitri Van De Ville, Michael Unser, 2008 .

Identifying 22q11.2 Deletion Syndrome and Psychosis Using Resting-State Connectivity Patterns

Dimitri Van De Ville, Jonas Richiardi, Stephan Eliez, 2014, Brain Topography.

Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends

Dimitri Van De Ville, Sven Haller, Karl-Olof Lovblad, 2014, Brain Topography.

Resting-state networks in adolescents with 22q11.2 deletion syndrome: Associations with prodromal symptoms and executive functions

Dimitri Van De Ville, Stephan Eliez, Maude Schneider, 2012, Schizophrenia Research.

Structural and functional connectivity in the default mode network in 22 q 11 . 2 deletion syndrome

Dimitri Van De Ville, Stephan Eliez, Marie Schaer, 2015 .

Cerebellar Connectomics Provide New Biomarkers in Early Multiple Sclerosis

Jean-Philippe Thiran, Dimitri Van De Ville, Alexis Roche, 2014 .

Reweighted sparse deconvolution for high angular resolution diffusion MRI

Jean-Philippe Thiran, Dimitri Van De Ville, Yves Wiaux, 2012 .

T114. Predicting coma outcome using resting-state fMRI and machine learning

Dimitri Van De Ville, Sven Haller, Serge Vulliémoz, 2018, Clinical Neurophysiology.

When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum

Dimitri Van De Ville, Maria Giulia Preti, Robin Demesmaeker, 2017, IEEE Signal Processing Letters.

Multiscale analysis of geomorphological and geological features in high resolution digital elevation models using the wavelet transform

Dimitri Van De Ville, Devis Tuia, Stéphane Joost, 2012 .

Lung Tissue Analysis Using Isotropic Polyharmonic B – Spline Wavelets

Dimitri Van De Ville, Michael Unser, Adrien Depeursinge, 2008 .

NONINVASIVE PROBING OF THE NEUROVASCULAR SYSTEM IN HUMAN BONE/BONE MARROW USING NEAR-INFRARED LIGHT

Dimitri Van De Ville, Tiziano Binzoni, T. Binzoni, 2011 .