Deep learning‐based T1‐enhanced selection of linear attenuation coefficients (DL‐TESLA) for PET/MR attenuation correction in dementia neuroimaging
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28689
Abstract: The accuracy of existing PET/MR attenuation correction (AC) has been limited by a lack of correlation between MR signal and tissue electron density. Based on our finding that longitudinal relaxation rate, or R1, is associated… read more here.
Keywords: attenuation correction; enhanced selection; deep learning; pet attenuation ... See more keywords
Modified BIC Criterion for Model Selection in Linear Mixed Models
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11092130
Abstract: Linear mixed-effects models are widely used in applications to analyze clustered, hierarchical, and longitudinal data. Model selection in linear mixed models is more challenging than that of linear models as the parameter vector in a… read more here.
Keywords: selection linear; model selection; modified bic; model ... See more keywords