[PDF] Top 20 Multiple Sclerosis Brain MRI Segmentation Workflow deployment on the EGEE Grid
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Multiple Sclerosis Brain MRI Segmentation Workflow deployment on the EGEE Grid
... Automatic brain MRI segmentations methods are useful but computationally intensive tools in med- ical image ...on grid infrastructures can provide an efficient resource for data handling and ... Voir le document complet
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The impact of processing workflow in performance of automatic white matter lesion segmentation in Multiple Sclerosis
... lesion segmentation reproducibility, which is of critical importance when processing huge amounts of MR images, as in large multicenter clinical ...Automatic segmentation of WML is a complex task that ... Voir le document complet
10
NeuroLOG: Neuroscience Application Workflows Execution on the EGEE Grid
... 2 Grid-added value NeuroLOG specifically targets three neurological pathologies: brain strokes, brain tumors and multiple ...sclerosis. The project provides a brain ... Voir le document complet
3
A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation
... Case10, the low contrast between lesions in the FLAIR image could cause problems in the ...in the superior part of the brain, see Figure 3 , that the IIH correction method ... Voir le document complet
10
Segmentation algorithms of subcortical brain structures on MRI : a review
... of the training shape samples in a common coordinate frame is the first step to create the shape ...Once the samples are co-registered, a 250 reduced number of modes of variation that best ... Voir le document complet
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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] ... Voir le document complet
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Multiple Sclerosis lesion segmentation using an automated multimodal Graph Cut
... Expectation-Maximization, Multiple sclerosis, Tissue classification 1 Introduction Multiple Sclerosis (MS) is a chronic demyelinating disease that a↵ects the cen- tral nervous ... Voir le document complet
8
Analyzing the EGEE production grid workload: application to jobs submission optimization
... etc. The workload management system of grid infrastructures is probably one of the most critical and most studied service ...Despite the tremendous efforts invested in guaranteeing reliable ... Voir le document complet
24
LOCUS: local cooperative unified segmentation of MRI brain scans
... Tissue segmentation is performed by par- titionning the volume into subvolumes where local MRFs are estimated in cooperation with their neighbors to ensure ...to the local intensity distribution and ... Voir le document complet
9
Longitudinal segmentation of MS lesions in multimodal brain MRI
... Temps d’acquisition 1 F IG . 6 – STREM2 pour des données cliniques, coupes coronales pour le temps d’acquisition 1. Les images sont basse résolution et nous obtenons néanmoins une bonne segmentation. défini. Les ... Voir le document complet
11
A validation dataset for Macaque brain MRI segmentation
... of the Of fice of Laboratory Animal Welfare (OLAW – no#A5826-01) in a facility authorized by local authorities (authorization ...in the healthcare and housing of ... Voir le document complet
7
An experimental comparison of Grid5000 clusters and the EGEE grid
... right: EGEE sources volatility have severe consequences on the schedul- ing and queuing times of the ...is the variability measured and discussed in the next ...is the non null ... Voir le document complet
9
MRF agent based segmentation: Application to MRI brain scans
... Abstract. The Markov Random Field (MRF) probabilistic framework is classically introduced for a robust segmentation of Magnetic Resonance Imaging (MRI) brain ...Structure segmentation ... Voir le document complet
11
Large-Scale Quantum Monte Carlo Electronic Structure Calculations on the EGEE Grid
... solving the Schr¨odinger ...during the last twenty years, they are still of marginal use in computational ...i) the N -body problem encountered in chemistry is particularly challenging (a set of ... Voir le document complet
14
Diffusion MRI abnormalities detection with orientation distribution functions: A multiple sclerosis longitudinal study
... comparing the ori- entation distribution functions (ODF) at the voxel level between a patient and a population of controls, in a similar fashion to Commowick et ...of the diffusion probability values ... Voir le document complet
22
Optimization of jobs submission on the EGEE production grid: modeling faults using workload
... in the EGEE middleware: on the WMS server side to optimize the time-out value that is currently in use within the system, and also on the client side to deal with errors that are ... Voir le document complet
25
Adaptation and evaluation of the multiple organs OSD for T2 MRI prostate segmentation
... bladder segmentation The bladder is a distensible ...to the amount of collected urine and the position of the surrounding ...to the prostate base but sometimes can literally ... Voir le document complet
5
Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis
... Abstract. Multiple sclerosis (MS) is a white matter (WM) disease characterized by the formation of WM lesions, which can be visualized by magnetic resonance imaging ...(MRI). The ... Voir le document complet
27
Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis
... in the field of brain network analysis, and many of them have been oriented towards useful embeddings for feeding conventional classifiers ...novel Brain Network Embedding model (t-BNE) based on ... Voir le document complet
9
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
... to the injection of a radioactive tracer. On the contrary, magnetic resonance imaging (MRI) is a non-invasive, widely available technique, but existing MRI sequences do not provide, to date, a ... Voir le document complet
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