[PDF] Top 20 Robust Segmentation of Focal Lesions on Multi-Sequence MRI in Multiple Sclerosis
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Robust Segmentation of Focal Lesions on Multi-Sequence MRI in Multiple Sclerosis
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet
153
Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosis.
... tation of multiple sclerosis (MS) lesions in magnetic resonance ...model of intensities of the normal appearing brain tissues. In order to estimate the model, a ... Voir le document complet
14
Automatic multiple sclerosis lesion segmentation with P-LOCUS
... estimation of other ...and robust MS lesion segmen- tation from T1-weighted and Flair ...advantage of this approach is that the weights, and therefore the ’outliers’ are obtained in a ... Voir le document complet
5
Automatic Segmentation of Intramedullary Multiple Sclerosis Lesions
... Introduction Multiple sclerosis (MS) is a chronic immune mediated disease of the central nervous system, with variable clinical ...hallmark of MS is the occurrence of focal areas ... Voir le document complet
139
Automatic Multiple Sclerosis lesion segmentation from Intensity-Normalized multi-channel MRI
... intensities of a healthy brain can be modeled by a 3-class Gaussian Mixture Model (GMM), where each Gaussian represents one of the brain tis- sues: White Matter (WM), Gray Matter (GM) and Cerebrospinal ... Voir le document complet
8
Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data
... objective of Deep-JDOT is then to find an embedding function g (which is equivalent to finding a latent space z), a classifier f and a transportation matrix such that inputs from the source and target domains that ... Voir le document complet
14
A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation
... for Multiple Sclerosis over the last 25 years. MRI has a high sensitivity to detect white matter lesions (WML) in MS ...patients. In cross- sectional and longitudinal studies, ... Voir le document complet
10
Robust Detection of Multiple Sclerosis Lesions from Intensity-Normalized Multi-Channel MRI
... evaluation of lesion becomes difficult for the radiologist when the number of MR sequences grows ...automatic/semi-automatic segmentation of MS lesions using MRI. 1 One breed ... Voir le document complet
8
Voxel-Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis
... essentially in primary motor cortices, Heschl's gyri, cunei and DGM nuclei (both thalami, both putamen, supero-inferior ...because of an unsatisfactory GM segmentation within the posterior ...regions ... Voir le document complet
10
Multiple Sclerosis lesion segmentation using an automatic multimodal Graph Cuts: Multiple Sclerosis lesion segmentation using an automatic multimodal Graph Cuts
... interactive segmentation which has been successfully employed in different medical domains such as organ segmentation [6], healthy brain MRI [7], and pathological brain MRI ...minimum ... Voir le document complet
10
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
... reconstruction of 7T-like T1-w MRI from 3T T1-w MRI [ 4 ] and generation of FLAIR from T1-w MRI [ 5 ...from MRI or CT images [ 6 , 7 , 8 ...detection in lung [ 6 ] and ... Voir le document complet
9
Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis
... reduction in cord area. In the current study we have shown that the reductions in cord area observed over one year, although not signi ficant, were in line with the AS method, used as an anchor ... Voir le document complet
8
Detection of Multiple Sclerosis Lesions using Sparse Representations and Dictionary Learning
... versus lesions to help improve the detection. 5 Conclusion In this paper, we have proposed a new supervised approach to automatically detect multiple sclerosis lesions using dictionary ... Voir le document complet
10
Adaptive Dictionary Learning For Competitive Classification Of Multiple Sclerosis Lesions
... elements of an over-complete dictionary and have been used in many image processing ...classify Multiple Sclerosis (MS) lesions from MRI. In particular, we investigate the ... Voir le document complet
5
Probabilistic One Class Learning for Automatic Detection of Multiple Sclerosis Lesions
... from multi-parametric MRI for lesion detection. The contributions of our work are two-fold:(1) to build an automatic, probabilis- tic framework to discriminate NABTs and MSLs based upon simple image ... Voir le document complet
5
Voxel-Based Quantitative MRI reveals spatial patterns of grey matter alteration in Multiple Sclerosis
... [1]. MRI data were acquired either on a 3T Allegra or Prisma MRI ...scanner. MRI acquisitions included a multi-parameter mapping (MPM) protocol, consisting of 3 co-localized 3D ... Voir le document complet
3
Progression of Fetal Brain Lesions in Tuberous Sclerosis Complex
... Tuberous sclerosis (TSC) is a multisystem autosomal dominant genetic disorder due to loss of function of TSC1/TSC2 resulting in increased mTOR (mammalian target of rapamycin) ... Voir le document complet
16
αβ T-cell receptors from multiple sclerosis brain lesions show MAIT cell–related features
... contain lesions with high numbers of CD8 1 T ...infiltrates in sections of MS brain, the following antibodies against cell surface molecules were used: mouse anti-human CD161 (1:5, 191B8, ... Voir le document complet
9
Multi-Parametric Spinal Cord MRI as Potential Progression Marker in Amyotrophic Lateral Sclerosis
... multimodal MRI of the spinal cord in predicting disease progression and one-year clinical status in amyotrophic lateral sclerosis (ALS) ...first MRI (MRI 1 ), 29 ALS ... Voir le document complet
8
Multi-Parametric Spinal Cord MRI as Potential Progression Marker in Amyotrophic Lateral Sclerosis
... decrease in MTR due to partial volume effects with adjacent CSF and gray matter, which may have lowered the apparent MTR calculation from averaging ...change in radius of less than five microns ... Voir le document complet
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