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Hubs of brain functional networks are radically reorganized in comatose patients
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Structured Sparsity-Inducing Norms : Statistical and Algorithmic Properties w...
Numerous fields of applied sciences and industries have been witnessing a process of digitisation over the past few years. This trend has come with a steady increase... -
Extent and neural basis of semantic memory impairment in mild cognitive impai...
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A Lateralized Brain Network for Visuospatial Attention
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Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Cova...
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Beyond brain reading: randomized sparsity and clustering to simultaneously pr...
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Two-Photon Imaging
During the past two decades, two-photon microscopy has become a powerful tool in neuroscience. Unlike other imaging methods like MRI, its spatial resolution is... -
Statistical modeling of pairs of sulci in the context of neuroimaging probabi...
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Non rigid registration in neuroimaging: from a retrospective evaluation of gl...
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PyXNAT: XNAT in Python
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Insight et Neuro-imagerie: l'apport de l'étude des réseaux du repos
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Robust Group-Level Inference in Neuroimaging Genetic Studies
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AnalyzeFMRI: an R package to perform statistical analysis on FMRI datasets
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Sensory stimulation induces tensor fields, which specifically transform brain...
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Brainomics: A management system for exploring and merging heterogeneous brain...
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Is perceptual anticipation a motor simulation? A PET study
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High-dimensional statistical methods for inter-subject studies in neuroimaging
La variabilité inter-individuelle est un obstacle majeur à l'analyse d'images médicales, en particulier en neuroimagerie. Il convient de distinguer la variabilité...
