Automated segmentation of multiple sclerosis lesions by model outlier detection.
about
Reduction of disease activity and disability with high-dose cyclophosphamide in patients with aggressive multiple sclerosisQuantifying and modelling tissue maturation in the living human fetal brainThe Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)Pure-tone auditory thresholds are not chronically elevated in multiple sclerosisImproved inference in Bayesian segmentation using Monte Carlo sampling: application to hippocampal subfield volumetryRecommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosisNeuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction.A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation--With Application to Tumor and Stroke.Non-locally regularized segmentation of multiple sclerosis lesion from multi-channel MRI dataIncreasing the contrast of the brain MR FLAIR images using fuzzy membership functions and structural similarity indices in order to segment MS lesions.Taste dysfunction in multiple sclerosisA topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.Evidence of neurodegeneration in brains of older adults who do not yet fulfill MCI criteria.Influences of lobar gray matter and white matter lesion load on cognition and mood.White matter hyperintensities are seen only in GRN mutation carriers in the GENFI cohort.Concordance and discordance between brain perfusion and atrophy in frontotemporal dementiaAn Automated Method for Segmenting White Matter Lesions through Multi-Level Morphometric Feature Classification with Application to LupusSegmentation of multiple sclerosis lesions in MR images: a review.Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR imagesAutomatic segmentation of newborn brain MRI.Partial volume segmentation of brain magnetic resonance images based on maximum a posteriori probabilityDifferent associations of white matter lesions with depression and cognition.Unified approach for multiple sclerosis lesion segmentation on brain MRI.Reduction of dorsolateral prefrontal cortex gray matter in late-life depression.Joint assessment of structural, perfusion, and diffusion MRI in Alzheimer's disease and frontotemporal dementia.Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury.Amygdala volume in late-life depression: relationship with age of onsetGLISTR: glioma image segmentation and registrationSpatially-dense 3D facial asymmetry assessment in both typical and disordered growth.Brain atrophy and white-matter hyperintensities are not significantly associated with incidence and severity of postoperative delirium in older persons without dementia.Deformable registration of glioma images using EM algorithm and diffusion reaction modeling.Rotation-invariant multi-contrast non-local means for MS lesion segmentation.Grey matter volume alterations in CADASIL: a voxel-based morphometry studyMulti-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIsAGTR1 gene variation: association with depression and frontotemporal morphology.Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline.Accurate template-based correction of brain MRI intensity distortion with application to dementia and aging.Patterns of white matter atrophy in frontotemporal lobar degeneration.Posterior structural brain volumes differ in maltreated youth with and without chronic posttraumatic stress disorder.Quantifying brain volumes for Multiple Sclerosis patients follow-up in clinical practice - comparison of 1.5 and 3 Tesla magnetic resonance imaging.
P2860
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P2860
Automated segmentation of multiple sclerosis lesions by model outlier detection.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
Automated segmentation of multiple sclerosis lesions by model outlier detection.
@en
Automated segmentation of multiple sclerosis lesions by model outlier detection.
@nl
type
label
Automated segmentation of multiple sclerosis lesions by model outlier detection.
@en
Automated segmentation of multiple sclerosis lesions by model outlier detection.
@nl
prefLabel
Automated segmentation of multiple sclerosis lesions by model outlier detection.
@en
Automated segmentation of multiple sclerosis lesions by model outlier detection.
@nl
P50
P356
P1476
Automated segmentation of multiple sclerosis lesions by model outlier detection
@en
P2093
Colchester A
P304
P356
10.1109/42.938237
P577
2001-08-01T00:00:00Z