Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis
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Title
Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis
Authors
Keywords
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Journal
HUMAN BRAIN MAPPING
Volume 37, Issue 4, Pages 1405-1421
Publisher
Wiley
Online
2016-01-12
DOI
10.1002/hbm.23110
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Note: Only part of the references are listed.- The PLORAS Database: A data repository for Predicting Language Outcome and Recovery After Stroke
- (2016) Mohamed L. Seghier et al. NEUROIMAGE
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- (2015) B. Ozenne et al. BIOSTATISTICS
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- The ins and outs of meaning: Behavioral and neuroanatomical dissociation of semantically-driven word retrieval and multimodal semantic recognition in aphasia
- (2015) Daniel Mirman et al. NEUROPSYCHOLOGIA
- A toolbox for multiple sclerosis lesion segmentation
- (2015) Eloy Roura et al. NEURORADIOLOGY
- Neural organization of spoken language revealed by lesion–symptom mapping
- (2015) Daniel Mirman et al. Nature Communications
- Fast semi-automated lesion demarcation in stroke
- (2015) Bianca de Haan et al. NeuroImage-Clinical
- Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images
- (2015) Saurabh Jain et al. NeuroImage-Clinical
- Building Predictive Models inRUsing thecaretPackage
- (2015) Max Kuhn Journal of Statistical Software
- cocor: A Comprehensive Solution for the Statistical Comparison of Correlations
- (2015) Birk Diedenhofen et al. PLoS One
- Multivariate lesion-symptom mapping using support vector regression
- (2014) Yongsheng Zhang et al. HUMAN BRAIN MAPPING
- Lesion segmentation from multimodal MRI using random forest following ischemic stroke
- (2014) Jhimli Mitra et al. NEUROIMAGE
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- (2014) Nicholas J. Tustison et al. NEUROINFORMATICS
- Coupled neural systems underlie the production and comprehension of naturalistic narrative speech
- (2014) L. J. Silbert et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Automated delineation of stroke lesions using brain CT images
- (2014) Céline R. Gillebert et al. NeuroImage-Clinical
- Neural mechanisms of discourse comprehension: a human lesion study
- (2013) Aron K. Barbey et al. BRAIN
- RcppArmadillo: Accelerating R with high-performance C++ linear algebra
- (2013) Dirk Eddelbuettel et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Predicting speech fluency and naming abilities in aphasic patients
- (2013) Jasmine Wang et al. Frontiers in Human Neuroscience
- Multidimensional morphometric 3D MRI analyses for detecting brain abnormalities in children: Impact of control population
- (2013) Marko Wilke et al. HUMAN BRAIN MAPPING
- Predicting outcome and recovery after stroke with lesions extracted from MRI images
- (2013) Thomas M.H. Hope et al. NeuroImage-Clinical
- The dorsal stream contribution to phonological retrieval in object naming
- (2012) M. F. Schwartz et al. BRAIN
- Analysis of automated methods for spatial normalization of lesioned brains
- (2012) P. Ripollés et al. NEUROIMAGE
- Neuroimaging in aphasia treatment research: Quantifying brain lesions after stroke
- (2012) Jenny Crinion et al. NEUROIMAGE
- Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal
- (2012) Islem Rekik et al. NeuroImage-Clinical
- The Neural Basis of Reversible Sentence Comprehension: Evidence from Voxel-based Lesion Symptom Mapping in Aphasia
- (2011) Malathi Thothathiri et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Manual, semi-automated, and automated delineation of chronic brain lesions: A comparison of methods
- (2011) Marko Wilke et al. NEUROIMAGE
- Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images
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- (2011) Paul Schmidt et al. NEUROIMAGE
- Neuroanatomical dissociation for taxonomic and thematic knowledge in the human brain
- (2011) M. F. Schwartz et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Support for anterior temporal involvement in semantic error production in aphasia: New evidence from VLSM
- (2010) Grant M. Walker et al. BRAIN AND LANGUAGE
- Do brain tumours allow valid conclusions on the localisation of human brain functions? – Objections
- (2010) Hans-Otto Karnath et al. CORTEX
- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Cost function masking during normalization of brains with focal lesions: Still a necessity?
- (2010) Sarah M. Andersen et al. NEUROIMAGE
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- (2010) Brian B. Avants et al. NEUROIMAGE
- Anterior temporal involvement in semantic word retrieval: voxel-based lesion-symptom mapping evidence from aphasia
- (2009) M. F. Schwartz et al. BRAIN
- An improved lesion detection approach based on similarity measurement between fuzzy intensity segmentation and spatial probability maps
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