lesion segmentation toolbox lst version 3 0 0 (MathWorks Inc)
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MathWorks Inc
lesion segmentation toolbox lst version 3 0 0
Lesion Segmentation Toolbox Lst Version 3 0 0, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 670 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lesion+segmentation+toolbox+lst+version+3+0+0/Mapping+Toolbox/pm39933282-59-16-30
Average 96 stars, based on 670 article reviews
Lesion Segmentation Toolbox Lst Version 3 0 0, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 670 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lesion+segmentation+toolbox+lst+version+3+0+0/Mapping+Toolbox/pm39933282-59-16-30
Average 96 stars, based on 670 article reviews
lesion segmentation toolbox lst version 3 0 0 - by Bioz Stars,
2026-09
96/100 stars
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other:Article Title: Cocaine use is associated with cerebral white matter hyperintensities in HIV disease. Article Snippet: Total acquisition time for FLAIR was 3:30 min. Cortical reconstruction and volumetric segmentation of the T1-weighted images was done with the FreeSurfer image analysis suite version 6.0 to obtain estimated total intracranial volume (eTIV).74 WMH were detected using the Article Title: Multimodal Investigation of Deep Gray Matter Nucleus in Patients with Multiple Sclerosis and Their Clinical Correlations: A Multivariate Pattern Analysis Study Article Snippet: Lesions were segmented by the lesion growth algorithm (LGA) as implemented in the lesion segmentation toolbox (LST) version 3.0.0 ( www.statisticalmodelling.de/lst.html , accessed on 30 September 2023) for Statistical Parametric Mapping (SPM) 12 in Article Title: Brain network alteration was associated with 'no evidence of disease activity' status in patients with relapsing-remitting multiple sclerosis. Article Snippet: Background: The associations between the monthly rate of topological property change (mrTPC) in the structural and functional connectivity network (SCN, FCN) and achieving no evidence of disease activity (NEDA) in relapsing-remitting multiple sclerosis (RRMS) patients taking oral disease-modifying therapies (DMTs) remain insufficiently explored.. Methods: This was a retrospective study conducted with RRMS patients treated with oral DMTs or untreated between January 2019 and June 2023.. All participants underwent baseline and follow-up clinical evaluations and MRI scans. Article Title: Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators. Article Snippet: Materials and methods: 145 and 50 RRMS patients with structural MRI and at least 1-year follow-up Expanded Disability Status Scale (EDSS) results were retrospectively enrolled and placed in the discovery and external test cohorts, respectively.. Six clinical and radiomics feature-based machine learning classifiers were trained and tested to predict disability progression in the discovery cohort and validated in the external test set.. Partial dependence plot (PDP) analysis and a Shiny web application were conducted to enhance the interpretability and intuitiveness. |