His primary areas of study are Neuroscience, Resting state fMRI, Artificial intelligence, Functional magnetic resonance imaging and Cognition. His study in Neuroscience is interdisciplinary in nature, drawing from both Internal medicine and Cardiology. His Resting state fMRI research is multidisciplinary, relying on both Default mode network, Brain mapping and Electroencephalography.
His work carried out in the field of Artificial intelligence brings together such families of science as Dynamic functional connectivity and Pattern recognition. His Functional magnetic resonance imaging research is multidisciplinary, incorporating elements of White matter, Brain activity and meditation and Posterior parietal cortex. His Cognition research is multidisciplinary, incorporating perspectives in Cognitive psychology and Applied psychology.
His primary scientific interests are in Artificial intelligence, Neuroscience, Functional magnetic resonance imaging, Resting state fMRI and Pattern recognition. His Artificial intelligence research focuses on subjects like Deconvolution, which are linked to Regularization. His research in Cognition, Electroencephalography, Neuroimaging, Functional connectivity and Anterior cingulate cortex are components of Neuroscience.
As part of the same scientific family, he usually focuses on Functional magnetic resonance imaging, concentrating on Brain activity and meditation and intersecting with Neurofeedback. Dimitri Van De Ville has included themes like Essential tremor, Schizophrenia, Thalamotomy, Psychosis and Default mode network in his Resting state fMRI study. His Pattern recognition study incorporates themes from Voxel and Data mining.
His scientific interests lie mostly in Neuroscience, Functional magnetic resonance imaging, Brain activity and meditation, Dynamic functional connectivity and Cognition. His studies in Neuroscience integrate themes in fields like White matter and Psychosis. The concepts of his Functional magnetic resonance imaging study are interwoven with issues in Valence, Cardiology, Functional connectivity, Resting state fMRI and Internal medicine.
His work deals with themes such as Healthy subjects, Pattern recognition, Artificial intelligence and Spinal cord, which intersect with Resting state fMRI. He works mostly in the field of Brain activity and meditation, limiting it down to topics relating to Physical medicine and rehabilitation and, in certain cases, Positive correlation, Neurofeedback, Electroencephalography and Stroke, as a part of the same area of interest. His Cognition research incorporates themes from Multiple comparisons problem, Cognitive psychology and Bayesian multivariate linear regression.
The scientist’s investigation covers issues in Dynamic functional connectivity, Neuroscience, Functional magnetic resonance imaging, Brain activity and meditation and Functional connectivity. His Dynamic functional connectivity research includes elements of Stability, Repertoire, Cognitive science and Dynamics. His research links Subclinical infection with Neuroscience.
His research integrates issues of Wakefulness, Resting state fMRI, Neuroimaging and Non-rapid eye movement sleep in his study of Functional magnetic resonance imaging. His Brain activity and meditation study integrates concerns from other disciplines, such as Meta-analysis, Functional neuroimaging, Physical medicine and rehabilitation and Positive correlation. The study incorporates disciplines such as Artificial intelligence and Pattern recognition in addition to Toolbox.
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The dynamic functional connectome: State-of-the-art and perspectives
Maria Giulia Preti;Thomas A. W. Bolton;Dimitri Van De Ville.
BOLD correlates of EEG topography reveal rapid resting-state network dynamics
Juliane Britz;Dimitri Van De Ville;Dimitri Van De Ville;Christoph M. Michel.
On spurious and real fluctuations of dynamic functional connectivity during rest
Nora Leonardi;Nora Leonardi;Dimitri Van De Ville;Dimitri Van De Ville.
EEG microstate sequences in healthy humans at rest reveal scale-free dynamics
Dimitri Van De Ville;Juliane Britz;Christoph M. Michel.
Proceedings of the National Academy of Sciences of the United States of America (2010)
Complex wavelets for extended depth‐of‐field: A new method for the fusion of multichannel microscopy images
Brigitte Forster;Dimitri Van De Ville;Jesse Berent;Daniel Sage.
Microscopy Research and Technique (2004)
Noise reduction by fuzzy image filtering
D. Van De Ville;M. Nachtegael;D. Van der Weken;E.E. Kerre.
IEEE Transactions on Fuzzy Systems (2003)
Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest
Nora Leonardi;Nora Leonardi;Jonas Richiardi;Jonas Richiardi;Markus A. Gschwind;Markus A. Gschwind;Samanta Simioni.
Decoding brain states from fMRI connectivity graphs
Jonas Richiardi;Jonas Richiardi;Hamdi Eryilmaz;Sophie Schwartz;Patrik Vuilleumier.
SURE-Based Non-Local Means
D. Van De Ville;M. Kocher.
IEEE Signal Processing Letters (2009)
White-Matter Connectivity between Face-Responsive Regions in the Human Brain
Markus A. Gschwind;Gilles Pourtois;Sophie Schwartz;Dimitri Van De Ville;Dimitri Van De Ville.
Cerebral Cortex (2012)
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