Graph theoretical framework of brain networks in multiple sclerosis: a review of concepts
Network science provides powerful access to essential organizational principles of the
human brain. It has been applied in combination with graph theory to characterize brain …
human brain. It has been applied in combination with graph theory to characterize brain …
Evaluating white matter lesion segmentations with refined Sørensen-Dice analysis
The Sørensen-Dice index (SDI) is a widely used measure for evaluating medical image
segmentation algorithms. It offers a standardized measure of segmentation accuracy which …
segmentation algorithms. It offers a standardized measure of segmentation accuracy which …
Longitudinal multiple sclerosis lesion segmentation: resource and challenge
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion
segmentation challenge providing training and test data to registered participants. The …
segmentation challenge providing training and test data to registered participants. The …
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
The human cerebellum plays an essential role in motor control, is involved in cognitive
function (ie, attention, working memory, and language), and helps to regulate emotional …
function (ie, attention, working memory, and language), and helps to regulate emotional …
Consistent cortical reconstruction and multi-atlas brain segmentation
Whole brain segmentation and cortical surface reconstruction are two essential techniques
for investigating the human brain. Spatial inconsistences, which can hinder further …
for investigating the human brain. Spatial inconsistences, which can hinder further …
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications
In neuroimaging, cortical surface atlases play a fundamental role for spatial normalization,
analysis, visualization, and comparison of results across individuals and different studies …
analysis, visualization, and comparison of results across individuals and different studies …
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
RA Kamraoui, VT Ta, T Tourdias, B Mansencal… - Medical Image …, 2022 - Elsevier
Recently, segmentation methods based on Convolutional Neural Networks (CNNs) showed
promising performance in automatic Multiple Sclerosis (MS) lesions segmentation. These …
promising performance in automatic Multiple Sclerosis (MS) lesions segmentation. These …
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI
The reconstruction of cortical surfaces is a prerequisite for quantitative analyses of the
cerebral cortex in magnetic resonance imaging (MRI). Existing segmentation-based …
cerebral cortex in magnetic resonance imaging (MRI). Existing segmentation-based …
Initial evidence of abnormal brain plasticity in anorexia nervosa: an ultra-high field study
Anorexia Nervosa has been associated with white matter abnormalities implicating
subcortical abnormal myelination. Extending these findings to intracortical myelin has been …
subcortical abnormal myelination. Extending these findings to intracortical myelin has been …
Effect of disease-modifying therapies on subcortical gray matter atrophy in multiple sclerosis
ES Sotirchos, N Gonzalez-Caldito… - Multiple Sclerosis …, 2020 - journals.sagepub.com
Background: The effects of disease-modifying therapies (DMTs) on region-specific brain
atrophy in multiple sclerosis (MS) are unclear. Objective: To determine the effects of higher …
atrophy in multiple sclerosis (MS) are unclear. Objective: To determine the effects of higher …