Biography:Dimitri Van De Ville
Professor Dimitri Van De Ville | |
---|---|
![]() Dimitri Van De Ville in 2015 | |
Born | 1975 (age 48–49) Dendermonde |
Citizenship | Switzerland Belgian |
Known for | Dynamical and network aspects of brain activity |
Awards | 2016 Leenaards Prize 2014 NARSAD Independent Investigator Award 2013 NeuroImage Editors’ Choice Award 2012 Pfizer Prize |
Academic background | |
Education | Computer science, Ghent University |
Thesis | Lineaire, niet-lineaire en vaaglogische beeldinterpolatietechnieken (Linear, nonlinear, and fuzzy image interpolation techniques) (2002) |
Doctoral advisor | Ignace Lemahieu Wilfried Philips |
Other academic advisors | Michael Unser |
Academic work | |
Discipline | Computer science Neuroscience |
Sub-discipline | Wavelet Neuroimaging |
Institutions | EPFL (École Polytechnique Fédérale de Lausanne) University of Geneva |
Main interests | Signal processing Computational neuroimaging |
Website | https://miplab.epfl.ch/ |
Dimitri Van De Ville (born 1975 in Dendermonde) is a Switzerland and Belgian computer scientist and neuroscientist specialized in dynamical and network aspects of brain activity. He is a professor of bioengineering at EPFL (École Polytechnique Fédérale de Lausanne) and the head of the Medical Image Processing Laboratory at EPFL's School of Engineering.[1][2]
Career
Van De Ville studied computer sciences at Ghent University and received his Master's degree suma cum lauda in 1998. He then pursued a PhD at the same institution and graduated in 2002 with a thesis on "Linear, nonlinear, and fuzzy image interpolation techniques" (Lineaire, niet-lineaire en vaaglogische beeldinterpolatietechnieken) that was supervised by Ignace Lemahieu and Wilfried Philips.[3][4][5] He joined the EPFL as a post-doctoral researcher in Michael Unser's Biomedical Imaging Group.[6][5] In 2005, he became group leader of the Signal Processing Core Geneva at the CIBM Center for Biomedical Imaging.[7]
In 2009, enabled by a SNSF Professorship Grant, he founded the Medical Image Processing Laboratory that is jointly held by EPFL's Institute of Bioengineering and the University of Geneva's Faculty of Medicine, and that is currently situated at the Campus Biotech in Geneva.[8][9] In 2015, he was appointed tenured associate professor at EPFL with an adjunct appointment at the University of Geneva.[2][10] Since 2015 he has been the head of the CIBM's Signal Processing Section, and since 2020 he has been the ad-interim head of CIBM's Animal Imaging & Technology Section.[7]
Research
Van De Ville's research focuses on functional neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) to measure dynamical and network aspects of human brain activity. He develops analysis methods at the interface of signal processing, data and network science, statistics, and applies them to investigate brain function.
Van De Ville’s research interests through to the end of his post-doctoral studies were dedicated to wavelets and splines, specifically to hex-splines,[11] isotropic polyharmonic B-spline wavelets,[12] and operator wavelets.[13] This research also found application in neuro-imaging by inspiring adaptation such as activelets[14] and wavelet-based statistical parametric mapping.[15]
Since 2009, Van De Ville has dedicated his research to computational neuroimaging with the aim to study brain functions related to behavior in health and disorder by employing fMRI and EEG data. He provides an explanation why fast EEG neural correlates (milliseconds timescale) can be correlated with slow fMRI hemodynamic fluctuations (seconds timescale) by demonstrating that sequences of EEG micro-state topographies represent scale-free organization.[16][17] He also introduced machine learning methods to functional connectivity measures, and thereby initiated the field of connectivity decoding.[18][19][20]
In describing both the method and the application for imaging-based biomarkers, he was among the first to describe the dynamic functional connectome.[21][22][23] He also helped to introduce brain states based on sliding-window functional connectivity.[24] To allow for reliable identification of spatial patterns of transient brain activity, he introduced a novel method for sparsity-pursuing regularized hemodynamic deconvolution of fMRI time series. This method also enabled an important progress to the classical Wiener deconvolution,[25][26] and brought insights in brain activity dynamics during sleep[27] and alterations owing to neurological conditions.[28]
Van De Ville research is also dedicated to the emerging field of graph signal processing to resolve brain structure-function relationships, where the structural connectome is employed as a graph, on which a function is expressed.[29] This framework allows to quantify the amount of activity 'coupling' with the underlying structure, and thereby helps to elucidate hierarchical organization of the brain that is relevant for behavior.[30] Recently his research helped to extend the regular atlas-based graphs including a few hundred nodes to fine-grained voxel-wise graphs representing around a million nodes.[31] His underlying theoretical work on graph signal processing encompasses the proposal of multi-slice graph wavelets,[32] graph Slepians,[33][34] and community-based graph filtering.[35]
Finally, he is also actively developing real-time neuro-feedback applications of fMRI that allow for the self-regulation of brain activity by the volunteer in the scanner by the principle of biofeedback.[36][37]
Distinctions
Van De Ville is the recipient of the 2016 Leenaards Prize,[38] the 2014 NARSAD Independent Investigator Award,[39] the 2013 NeuroImage Editors’ Choice Award,[40] and the 2012 Pfizer Prize.[41]
He is a distinguished lecturer of the 2021-2022 IEEE Signal Processing Society (SPS),[42] and a Fellow of the IEEE (2020).[43]
He is the president of the board of the Swiss Society for Biomedical Engineering (SSBE; since 2020).[44] He was founding chair of the Special Attention Team for Biomedical Image & Signal Analytics of the European Association for Signal Processing (EURASIP; 2016-2019),[45] and vice-chair (2011), chair (2012-2013), and past chair (2014) of the Biomedical Imaging & Signal Processing (BISP) Technical Committee of the IEEE Signal Processing Society (SPS).[46]
He has been a senior associate editor of the IEEE Transactions on Signal Processing (since 2019),[47] an associate editor of the SIAM Journal of Imaging Sciences (since 2018),[48] a founding associate editor of Elsevier NeuroImage Reports (since 2020),[49] an associate editor of the IEEE Transactions on Image Processing (2006-2009), and an associate editor of the IEEE Signal Processing Letters (2004-2006).
Selected works
- Preti, Maria Giulia; Bolton, Thomas AW; Van De Ville, Dimitri (October 2017). "The dynamic functional connectome: State-of-the-art and perspectives". NeuroImage 160: 41–54. doi:10.1016/j.neuroimage.2016.12.061. ISSN 1053-8119. PMID 28034766.
- Britz, Juliane; Van De Ville, Dimitri; Michel, Christoph M. (2010). "BOLD correlates of EEG topography reveal rapid resting-state network dynamics". NeuroImage 52 (4): 1162–1170. doi:10.1016/j.neuroimage.2010.02.052. PMID 20188188.
- Leonardi, Nora; Van De Ville, Dimitri (2015). "On spurious and real fluctuations of dynamic functional connectivity during rest". NeuroImage 104: 430–436. doi:10.1016/j.neuroimage.2014.09.007. PMID 25234118. http://infoscience.epfl.ch/record/203912.
- Van De Ville, D.; Britz, J.; Michel, C. M. (2010). "EEG microstate sequences in healthy humans at rest reveal scale-free dynamics". Proceedings of the National Academy of Sciences 107 (42): 18179–18184. doi:10.1073/pnas.1007841107. PMID 20921381. Bibcode: 2010PNAS..10718179V.
- Van De Ville, D.; Nachtegael, M.; Van Der Weken, D.; Kerre, E.E.; Philips, W.; Lemahieu, I. (2003). "Noise reduction by fuzzy image filtering". IEEE Transactions on Fuzzy Systems 11 (4): 429–436. doi:10.1109/TFUZZ.2003.814830. http://infoscience.epfl.ch/record/63105.
- Leonardi, Nora; Richiardi, Jonas; Gschwind, Markus; Simioni, Samanta; Annoni, Jean-Marie; Schluep, Myriam; Vuilleumier, Patrik; Van De Ville, Dimitri (2013). "Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest". NeuroImage 83: 937–950. doi:10.1016/j.neuroimage.2013.07.019. PMID 23872496. http://infoscience.epfl.ch/record/195506.
- Karahanoğlu, Fikret Işik; Van De Ville, Dimitri (2015). "Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks". Nature Communications 6: 7751. doi:10.1038/ncomms8751. PMID 26178017. Bibcode: 2015NatCo...6.7751K.
- Huang, Weiyu; Bolton, Thomas A. W.; Medaglia, John D.; Bassett, Danielle S.; Ribeiro, Alejandro; Van De Ville, Dimitri (2018). "A Graph Signal Processing Perspective on Functional Brain Imaging". Proceedings of the IEEE 106 (5): 868–885. doi:10.1109/JPROC.2018.2798928.
- Leonardi, Nora; Van De Ville, Dimitri (2013). "Tight Wavelet Frames on Multislice Graphs". IEEE Transactions on Signal Processing 61 (13): 3357–3367. doi:10.1109/TSP.2013.2259825. Bibcode: 2013ITSP...61.3357L. https://archive-ouverte.unige.ch/unige:39809.
References
- ↑ "MIP". https://miplab.epfl.ch/.
- ↑ 2.0 2.1 "Strategic topics with a focus on the next performance period | ETH-Board". https://www.ethrat.ch/en/medien-medienmitteilungen/strategie-entwicklung-im-zeichen-der-n%C3%A4chsten-leistungsperiode.
- ↑ Van De Ville, Dimitri (2002). Lineaire, niet-lineaire en vaaglogische beeldinterpolatietechnieken (dissertation thesis). Ghent University. hdl:1854/LU-522075.
- ↑ Van De Ville, Dimitri; Nachtegael, Mike; Van der Weken, Dietrich; Kerre, Etienne; Philips, Wilfried; Lemahieu, Ignace (2003). "Noise reduction by fuzzy image filtering". IEEE Transactions on Fuzzy Systems 11 (4): 429–436. doi:10.1109/TFUZZ.2003.814830. ISSN 1063-6706. http://hdl.handle.net/1854/LU-212802.
- ↑ 5.0 5.1 Van De Ville, Dimitri; Duysens, J.; Rogge, B.; Van de Walle, Rik; Philips, Wilfried; Lemahieu, Ignace (2002), "Head-controlled mouse system using a low-budget webcam", Recent Research Developments in Pattern Recognition 1: pp. 247–257, ISBN 978-81-86846-61-2, http://hdl.handle.net/1854/LU-361876, retrieved 2021-02-24
- ↑ "EPFL | Biomedical Imaging Group | People". http://bigwww.epfl.ch/people.html.
- ↑ 7.0 7.1 "People - CIBM | Center for Biomedical Imaging" (in en-US). https://cibm.ch/people/.
- ↑ "Lab :: MIP". https://miplab.epfl.ch/.
- ↑ "SNF-Förderungsprofessuren". http://www.snf.ch/SiteCollectionDocuments/SiteCollectionDocumentsfop_awa_pfs_zusprachen.pdf.
- ↑ Evangelista, Sandy (2015-07-13) (in en). Eight appointed professors. https://actu.epfl.ch/news/eight-appointed-professors/.
- ↑ Van De Ville, D.; Blu, T.; Unser, M.; Philips, W.; Lemahieu, I.; Van de Walle, R. (June 2004). "Hex-Splines: A Novel Spline Family for Hexagonal Lattices". IEEE Transactions on Image Processing 13 (6): 758–772. doi:10.1109/tip.2004.827231. ISSN 1057-7149. PMID 15648867. Bibcode: 2004ITIP...13..758V. http://dx.doi.org/10.1109/tip.2004.827231.
- ↑ Van De Ville, D.; Blu, T.; Unser, M. (November 2005). "Isotropic polyharmonic B-splines: scaling functions and wavelets". IEEE Transactions on Image Processing 14 (11): 1798–1813. doi:10.1109/tip.2005.857249. ISSN 1057-7149. PMID 16279181. Bibcode: 2005ITIP...14.1798V. http://dx.doi.org/10.1109/tip.2005.857249.
- ↑ Tafti, P.D.; Van De Ville, D.; Unser, M. (April 2009). "Invariances, Laplacian-Like Wavelet Bases, and the Whitening of Fractal Processes". IEEE Transactions on Image Processing 18 (4): 689–702. doi:10.1109/TIP.2008.2011451. ISSN 1057-7149. PMID 19278914. Bibcode: 2009ITIP...18..689T. https://ieeexplore.ieee.org/document/4799376.
- ↑ Khalidov, Ildar; Fadili, Jalal; Lazeyras, François; Van De Ville, Dimitri; Unser, Michael (December 2011). "Activelets: Wavelets for sparse representation of hemodynamic responses". Signal Processing 91 (12): 2810–2821. doi:10.1016/j.sigpro.2011.03.008. ISSN 0165-1684. http://dx.doi.org/10.1016/j.sigpro.2011.03.008.
- ↑ Van De Ville, Dimitri; Seghier, Mohamed L.; Lazeyras, François; Blu, Thierry; Unser, Michael (October 2007). "WSPM: Wavelet-based statistical parametric mapping". NeuroImage 37 (4): 1205–1217. doi:10.1016/j.neuroimage.2007.06.011. ISSN 1053-8119. PMID 17689101. http://dx.doi.org/10.1016/j.neuroimage.2007.06.011.
- ↑ Van De Ville, D.; Britz, J.; Michel, C. M. (2010-10-04). "EEG microstate sequences in healthy humans at rest reveal scale-free dynamics". Proceedings of the National Academy of Sciences 107 (42): 18179–18184. doi:10.1073/pnas.1007841107. ISSN 0027-8424. PMID 20921381. Bibcode: 2010PNAS..10718179V.
- ↑ Britz, Juliane; Van De Ville, Dimitri; Michel, Christoph M. (October 2010). "BOLD correlates of EEG topography reveal rapid resting-state network dynamics" (in en). NeuroImage 52 (4): 1162–1170. doi:10.1016/j.neuroimage.2010.02.052. PMID 20188188. https://linkinghub.elsevier.com/retrieve/pii/S105381191000220X.
- ↑ Richiardi, Jonas; Eryilmaz, Hamdi; Schwartz, Sophie; Vuilleumier, Patrik; Van De Ville, Dimitri (May 2011). "Decoding brain states from fMRI connectivity graphs". NeuroImage 56 (2): 616–626. doi:10.1016/j.neuroimage.2010.05.081. ISSN 1053-8119. PMID 20541019. http://dx.doi.org/10.1016/j.neuroimage.2010.05.081.
- ↑ Richiardi, Jonas; Achard, Sophie; Bunke, Horst; Van De Ville, Dimitri (May 2013). "Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience". IEEE Signal Processing Magazine 30 (3): 58–70. doi:10.1109/MSP.2012.2233865. ISSN 1053-5888. Bibcode: 2013ISPM...30...58R. https://ieeexplore.ieee.org/document/6494687.
- ↑ Richiardi, Jonas; Gschwind, Markus; Simioni, Samanta; Annoni, Jean-Marie; Greco, Beatrice; Hagmann, Patric; Schluep, Myriam; Vuilleumier, Patrik et al. (September 2012). "Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity". NeuroImage 62 (3): 2021–2033. doi:10.1016/j.neuroimage.2012.05.078. ISSN 1053-8119. PMID 22677149. http://dx.doi.org/10.1016/j.neuroimage.2012.05.078.
- ↑ Preti, Maria Giulia; Bolton, Thomas AW; Van De Ville, Dimitri (October 2017). "The dynamic functional connectome: State-of-the-art and perspectives". NeuroImage 160: 41–54. doi:10.1016/j.neuroimage.2016.12.061. ISSN 1053-8119. PMID 28034766.
- ↑ Karahanoğlu, Fikret Işık; Van De Ville, Dimitri (September 2017). "Dynamics of large-scale fMRI networks: Deconstruct brain activity to build better models of brain function" (in en). Current Opinion in Biomedical Engineering 3: 28–36. doi:10.1016/j.cobme.2017.09.008.
- ↑ Bolton, Thomas A.W.; Morgenroth, Elenor; Preti, Maria Giulia; Van De Ville, Dimitri (September 2020). "Tapping into Multi-Faceted Human Behavior and Psychopathology Using fMRI Brain Dynamics". Trends in Neurosciences 43 (9): 667–680. doi:10.1016/j.tins.2020.06.005. ISSN 0166-2236. PMID 32682563.
- ↑ Leonardi, Nora; Richiardi, Jonas; Gschwind, Markus; Simioni, Samanta; Annoni, Jean-Marie; Schluep, Myriam; Vuilleumier, Patrik; Van De Ville, Dimitri (December 2013). "Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest". NeuroImage 83: 937–950. doi:10.1016/j.neuroimage.2013.07.019. ISSN 1053-8119. PMID 23872496. http://dx.doi.org/10.1016/j.neuroimage.2013.07.019.
- ↑ Karahanoğlu, Fikret Işık; Caballero-Gaudes, César; Lazeyras, François; Van De Ville, Dimitri (June 2013). "Total activation: fMRI deconvolution through spatio-temporal regularization". NeuroImage 73: 121–134. doi:10.1016/j.neuroimage.2013.01.067. ISSN 1053-8119. PMID 23384519. http://dx.doi.org/10.1016/j.neuroimage.2013.01.067.
- ↑ Karahanoğlu, Fikret Işik; Van De Ville, Dimitri (2015-07-16). "Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks". Nature Communications 6 (1): 7751. doi:10.1038/ncomms8751. ISSN 2041-1723. PMID 26178017. Bibcode: 2015NatCo...6.7751K.
- ↑ Tarun, Anjali; Wainstein-Andriano, Danyal; Sterpenich, Virginie; Bayer, Laurence; Perogamvros, Lampros; Solms, Mark; Axmacher, Nikolai; Schwartz, Sophie et al. (2020-07-09). "NREM sleep stages specifically alter dynamical integration of large-scale brain networks". iScience 24 (1): 101923. doi:10.1016/j.isci.2020.101923. PMID 33409474.
- ↑ Zöller, Daniela; Sandini, Corrado; Karahanoğlu, Fikret Işik; Padula, Maria Carmela; Schaer, Marie; Eliez, Stephan; Van De Ville, Dimitri (2019-10-01). "Large-Scale Brain Network Dynamics Provide a Measure of Psychosis and Anxiety in 22q11.2 Deletion Syndrome" (in en). Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 4 (10): 881–892. doi:10.1016/j.bpsc.2019.04.004. ISSN 2451-9022. PMID 31171499. https://www.sciencedirect.com/science/article/pii/S2451902219301004.
- ↑ Huang, Weiyu; Bolton, Thomas A. W.; Medaglia, John D.; Bassett, Danielle S.; Ribeiro, Alejandro; Van De Ville, Dimitri (May 2018). "A Graph Signal Processing Perspective on Functional Brain Imaging". Proceedings of the IEEE 106 (5): 868–885. doi:10.1109/JPROC.2018.2798928. ISSN 0018-9219.
- ↑ Preti, Maria Giulia; Van De Ville, Dimitri (December 2019). "Decoupling of brain function from structure reveals regional behavioral specialization in humans" (in en). Nature Communications 10 (1): 4747. doi:10.1038/s41467-019-12765-7. ISSN 2041-1723. PMID 31628329. Bibcode: 2019NatCo..10.4747P.
- ↑ Tarun, Anjali; Behjat, Hamid; Bolton, Thomas; Abramian, David; Van De Ville, Dimitri (June 2020). "Structural mediation of human brain activity revealed by white-matter interpolation of fMRI". NeuroImage 213: 116718. doi:10.1016/j.neuroimage.2020.116718. ISSN 1053-8119. PMID 32184188.
- ↑ Leonardi, Nora; Van De Ville, Dimitri (July 2013). "Tight Wavelet Frames on Multislice Graphs". IEEE Transactions on Signal Processing 61 (13): 3357–3367. doi:10.1109/tsp.2013.2259825. ISSN 1053-587X. Bibcode: 2013ITSP...61.3357L. http://dx.doi.org/10.1109/tsp.2013.2259825.
- ↑ Van De Ville, Dimitri; Demesmaeker, Robin; Preti, Maria Giulia (July 2017). "When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum". IEEE Signal Processing Letters 24 (7): 1001–1004. doi:10.1109/lsp.2017.2704359. ISSN 1070-9908. Bibcode: 2017ISPL...24.1001V. http://dx.doi.org/10.1109/lsp.2017.2704359.
- ↑ Petrovic, Miljan; Bolton, Thomas A. W.; Preti, Maria Giulia; Liégeois, Raphaël; Van De Ville, Dimitri (January 2019). "Guided graph spectral embedding: Application to the C. elegans connectome". Network Neuroscience 3 (3): 807–826. doi:10.1162/netn_a_00084. ISSN 2472-1751. PMID 31410381.
- ↑ Petrovic, Miljan; Liegeois, Raphael; Bolton, Thomas A.W.; Van De Ville, Dimitri (November 2020). "Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals". IEEE Signal Processing Magazine 37 (6): 150–159. doi:10.1109/msp.2020.3018087. ISSN 1053-5888. Bibcode: 2020ISPM...37f.150P. http://dx.doi.org/10.1109/msp.2020.3018087.
- ↑ Koush, Yury; Rosa, Maria Joao; Robineau, Fabien; Heinen, Klaartje; W. Rieger, Sebastian; Weiskopf, Nikolaus; Vuilleumier, Patrik; Van De Ville, Dimitri et al. (November 2013). "Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI". NeuroImage 81: 422–430. doi:10.1016/j.neuroimage.2013.05.010. ISSN 1053-8119. PMID 23668967.
- ↑ Emmert, Kirsten; Kopel, Rotem; Sulzer, James; Brühl, Annette B.; Berman, Brian D.; Linden, David E.J.; Horovitz, Silvina G.; Breimhorst, Markus et al. (January 2016). "Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?". NeuroImage 124 (Pt A): 806–812. doi:10.1016/j.neuroimage.2015.09.042. ISSN 1053-8119. PMID 26419389. http://dx.doi.org/10.1016/j.neuroimage.2015.09.042.
- ↑ "Attribution des Prix & Bourses scientifiques Leenaards 2016". https://www.leenaards.ch/wp-content/uploads/2016/09/1_Communique_presse_PrixScientifique2016.pdf.
- ↑ "Dimitri Van De Ville". https://ieeexplore.ieee.org/author/37085367307.
- ↑ "Editor's Choice Award 2013". https://www.journals.elsevier.com/neuroimage/editors-choice-award/editors-choice-award-2013.
- ↑ "Lauréates et lauréats 2012". https://www.pfizerforschungspreis.ch/sites/pfizerforschungspreis.ch/files/g10028091/f/201601/Preistraeger2012-Arbeiten_fr.pdf.
- ↑ "SPS Announces 2021 Class of Distinguished Lecturers and Distinguished Industry Speakers" (in en). 2020-12-01. https://signalprocessingsociety.org/newsletter/2020/12/sps-announces-2021-class-distinguished-lecturers-and-distinguished-industry.
- ↑ "37 SPS Members Elevated to Fellow" (in en). 2020-01-02. https://signalprocessingsociety.org/newsletter/2020/01/37-sps-members-elevated-fellow.
- ↑ "SSBE - Discover our organization". https://www.ssbe.ch/Cms/Content/about-ssbe.
- ↑ "TAC Biomedical Image & Signal Analytics". https://www.eurasip.org/index.php?option=com_content&view=article&id=151&Itemid=1151.
- ↑ "BISP TC Home" (in en). 2018-03-06. https://signalprocessingsociety.org/community-involvement/bio-imaging-and-signal-processing/bisp-tc-home.
- ↑ "Editorial Board" (in en). 2016-02-29. https://signalprocessingsociety.org/publications-resources/ieee-transactions-signal-processing/editorial-board.
- ↑ "SIIMS | Editorial Board | SIAM". https://www.siam.org/publications/journals/siam-journal-on-imaging-sciences-siims/editorial-board.
- ↑ NeuroImage: Reports Editorial Board. https://www.journals.elsevier.com/neuroimage-reports/editorial-board.
External links
- Dimitri Van De Ville publications indexed by Google Scholar
- Medical Image Processing Laboratory