Multiple Sclerosis lesions
MSSEG Challenge Proceedings: Multiple Sclerosis Lesions Segmentation Challenge Using a Data Management and Processing Infrastructure
... of multiple sclerosis lesions in a multi-stage ...from multiple MR sequences, and includes additional estimated weight variables to account for the relative importance of each ...
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Classification of Multiple Sclerosis Lesions using Adaptive Dictionary Learning
... of multiple sclerosis lesions, which incorporates discrimination in the dictionary learning framework by adjusting the size of the dictionaries according to the complexity of the underling ...
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Voxel-wise Comparison with a-contrario Analysis for Automated Segmentation of Multiple Sclerosis Lesions from Multimodal MRI
... FMRIB, NDCN, University of Oxford, UK francesca.galassi@inria.fr Abstract. We introduce a new framework for the automated and un- supervised segmentation of Multiple Sclerosis lesions from multimodal ...
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Probabilistic One Class Learning for Automatic Detection of Multiple Sclerosis Lesions
... ABSTRACT This paper presents an automatic algorithm for the detec- tion of multiple sclerosis lesions (MSL) from multi-sequence magnetic resonance imaging (MRI). We build a probabilistic classifier ...
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Detection of Multiple Sclerosis Lesions using Sparse Representations and Dictionary Learning
... versus lesions to help improve the ...detect multiple sclerosis lesions using dictionary ...treating lesions as outliers, or use class specific dictionaries for healthy and lesion ...
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Integration of Probabilistic Atlas and Graph Cuts for Automated Segmentation of Multiple Sclerosis lesions
... Imaging 19, 143–150 (2000). 6. Shah, M. et al. Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. Med. Image Anal. 15, 267–282 (2011). 7. Commowick, O., Wiest-Daesslé, N. ...
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A 3D hierarchical multimodal detection and segmentation method for multiple sclerosis lesions in MRI
... for multiple sclerosis detection embedded in a hierar- chical ...the lesions from the manual segmentation are well included in the segmentation, but at the price of a number of false de- ...
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Robust Detection of Multiple Sclerosis Lesions from Intensity-Normalized Multi-Channel MRI
... Whole-brain MR images were acquired on 16 MS patients and 20 controls. T1-w MPRAGE, T2-w and FLAIR modalities were chosen for the experiment. Expert annotations of lesions were carried out by an expert radi- ...
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Automatic Segmentation of Intramedullary Multiple Sclerosis Lesions
... In multiple sclerosis (MS) patients, the spinal cord is frequently affected by atrophy and/or ...MS lesions segmentation is consequently clinically relevant, as well as a necessary step towards the ...
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Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data
... In the sections that follow, we describe the use of Optimal Transport for Unsupervised Domain Adaptation and our original proposal, the Seg-JDOT framework. Seg-JDOT performs domain adaptation in a segmentation task thus ...
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A three year follow-up study of gadolinium enhanced and non-enhanced regions in multiple sclerosis lesions using a multi-compartment T2 relaxometry model.
... * sudhanya.chatterjee@irisa.fr Abstract Demyelination, axonal damage and inflammation are critical indicators of the onset and progress of neurodegenerative diseases such as multiple sclerosis (MS) in ...
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Spatial distribution of multiple sclerosis lesions in the cervical spinal cord
... total lesions volume within a region and normalized lesion volume refers to the total lesion volume within a region normalized to the volume of the region, there- fore indicating the proportion of tissue affected ...
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Multiple Sclerosis Lesions Evolution in Patients with Clinically Isolated Syndrome
... for multiple sclerosis even if they are very likely to develop it 1 ...of lesions enhanced by different contrast ...unenhanced lesions) by 15 months follow ...
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Multiple Sclerosis Lesions Segmentation using Spectral Gradient and Graph Cuts
... 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] ...
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Adaptive Dictionary Learning For Competitive Classification Of Multiple Sclerosis Lesions
... Index Terms— Sparse Representations, Adaptive Dictio- nary Learning, Magnetic Resonance Imaging 1. INTRODUCTION An important variety of natural images can be represented as linear combinations of a few atoms of a learned ...
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Automatic graph cut segmentation of multiple sclerosis lesions
... MS lesions and the background class for normal appearing brain tissues ...MS lesions will not be a new class but considered as the outliers of this NABT ...
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Automatic multiple sclerosis lesion segmentation with P-LOCUS
... of multiple sclerosis lesions in a multi-stage ...from multiple MR sequences, and includes additional estimated weight variables to account for the relative importance of each ...
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αβ T-cell receptors from multiple sclerosis brain lesions show MAIT cell–related features
... 9. Saxena A, Martin-Blondel G, Mars LT, Liblau RS. Role of CD8 T cell subsets in the pathogenesis of multiple sclero- sis. FEBS Lett 2011;585:3758–3763. 10. Montes M, Zhang X, Berthelot L, et al. Oligoclonal ...
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Multiple Sclerosis lesion segmentation using an automatic multimodal Graph Cuts: Multiple Sclerosis lesion segmentation using an automatic multimodal Graph Cuts
... for Multiple Sclerosis Brain ...for Multiple Sclerosis (MIAMS), New York,USA (September 2008) 82–91 ...matter lesions in mr images: method and ...
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Oligodendrocyte Development and Regenerative Therapeutics in Multiple Sclerosis
... In these different regions, the generation of OPCs is under the control of several intrinsic and extrinsic factors. During development, one of the well-established effectors is the morphogen Sonic Hedgehog (Shh), ...
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