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Radiomics-based Differentiation Between Glioblastoma and Primary Central Nervous System Lymphoma A Comparison of Diagnostic Performance Across Different MRI Sequences and Machine Learning Techniques
Despite the robust diagnostic performance of MRI-based radiomic features for differentiating between glioblastoma (GBM) and primary …
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Survival prediction in glioblastoma on post-contrast magnetic resonance imaging using filtration based first-order texture analysis- Comparison of multiple machine learning models

Objective

Magnetic resonance texture analysis (MRTA) is a relatively new technique that can be a valuable addition to clinical and …
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Modeling population and subject-specific growth in a latent trait measured by multiple instruments over time using a hierarchical Bayesian framework
Psychometric growth curve modeling techniques are used to describe a person’s latent ability and how that ability changes over time …
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A New Factor Solution for the Domestic Violence–Related Financial Issues Scale (DV-FI)
Economic abuse is a distinct form of intimate partner violence (IPV); yet, few measures of economic or financial factors exist. Weaver, …
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Showcasing Cancer Incidence and Mortality in Rural ZCTAs Using Risk Probabilities via Spatio-Temporal Bayesian Disease Mapping
Health departments are seeking new ways to determine when and where limited resources should be allocated to achieve maximum benefit …
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Influence of Language Load on Speech Motor Skill in Children With Specific Language Impairment
Children with specific language impairment (SLI) show particular deficits in the generation of sequenced action - the quintessential …
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