Line Garnero

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

We describe a new method to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls, based on multidimensional...

Fusion of Simultaneous fMRI/EEG Data Based on the Electro-Metabolic Coupling

Segmentation of the amygdalo-hippocampal complex by competitive region growing [MRI analysis]

Better Conditioning the MEG/EEG Inverse Problem: The Multivariate Source Prelocalization Approach

Imaging Cortical Oscillations During Sustained Visuomotor Coordination in MEG

Non-invasive classification of cortical activities for brain computer interface: A variable selection approach

Fully automatic hippocampus segmentation discriminates between early Alzheimer's disease and normal aging

Competitive segmentation of the hippocampus and the amygdala from MRI data: validation on young healthy controls and Alzheimer's disease patients

Segmentation of the skull in MRI volumes using a deformable model and taking the partial volume effect into account

A New Approach to the MEG/EEG Inverse Problem for the Recovery of Cortical Phase-Synchrony

Segmentation of 3D head MR images using morphological reconstruction under constraints and automatic selection of markers

Anatomical data fusion for quantitative reconstruction in cardiac tomoscintigraphy using active contours of the organs of the thorax

Cellular Complexes: A Tool for 3D Homotopic Segmentation in Brain Images

A Discrete Homotopic Deformable Model Dealing with Objects with Different Local Dimensions

Fully Automatic Segmentation of the Hippocampus and the Amygdala from MRI Using Hybrid Prior Knowledge

Joined Segmentation of Cortical Surface and Brain Volume in MRI Using a Homotopic Deformable Cellular Model