Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging
D García-Lorenzo, S Francis, S Narayanan… - Medical image …, 2013 - Elsevier
Magnetic resonance (MR) imaging is often used to characterize and quantify multiple
sclerosis (MS) lesions in the brain and spinal cord. The number and volume of lesions have …
sclerosis (MS) lesions in the brain and spinal cord. The number and volume of lesions have …
Segmentation of multiple sclerosis lesions in brain MRI: a review of automated approaches
Automatic segmentation of multiple sclerosis (MS) lesions in brain MRI has been widely
investigated in recent years with the goal of helping MS diagnosis and patient follow-up …
investigated in recent years with the goal of helping MS diagnosis and patient follow-up …
An automated tool for detection of FLAIR-hyperintense white-matter lesions in multiple sclerosis
In Multiple Sclerosis (MS), detection of T2-hyperintense white matter (WM) lesions on
magnetic resonance imaging (MRI) has become a crucial criterion for diagnosis and …
magnetic resonance imaging (MRI) has become a crucial criterion for diagnosis and …
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 …
Bayesian inference for structured additive regression models for large-scale problems with applications to medical imaging
P Schmidt - 2017 - edoc.ub.uni-muenchen.de
In der angewandten Statistik können Regressionsmodelle mit hochdimensionalen
Koeffizienten auftreten, die sich nicht mit gewöhnlichen Computersystemen schätzen …
Koeffizienten auftreten, die sich nicht mit gewöhnlichen Computersystemen schätzen …
A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions
We describe a new fully automatic method for the segmentation of brain images that contain
multiple sclerosis white matter lesions. Multichannel magnetic resonance images are used …
multiple sclerosis white matter lesions. Multichannel magnetic resonance images are used …
Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation
CH Sudre, MJ Cardoso, WH Bouvy… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In neuroimaging studies, pathologies can present themselves as abnormal intensity
patterns. Thus, solutions for detecting abnormal intensities are currently under investigation …
patterns. Thus, solutions for detecting abnormal intensities are currently under investigation …
Segmentation of multiple sclerosis lesions in MR images: a review
D Mortazavi, AZ Kouzani, H Soltanian-Zadeh - Neuroradiology, 2012 - Springer
Introduction Multiple sclerosis (MS) is an inflammatory demyelinating disease that the parts
of the nervous system through the lesions generated in the white matter of the brain. It brings …
of the nervous system through the lesions generated in the white matter of the brain. It brings …
Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis
H Vrenken, M Jenkinson, MA Horsfield, M Battaglini… - Journal of …, 2013 - Springer
Focal lesions and brain atrophy are the most extensively studied aspects of multiple
sclerosis (MS), but the image acquisition and analysis techniques used can be further …
sclerosis (MS), but the image acquisition and analysis techniques used can be further …
Longitudinal multiple sclerosis lesion segmentation using multi-view convolutional neural networks
A Birenbaum, H Greenspan - Deep Learning and Data Labeling for …, 2016 - Springer
Abstract Automatic segmentation of Multiple Sclerosis (MS) lesions is a challenging task due
to their variability in shape, size, location and texture in Magnetic Resonance (MR) images …
to their variability in shape, size, location and texture in Magnetic Resonance (MR) images …