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3d mr elastography (mre) at 0.55 t in healthy volunteers using hadamard encoding  (Siemens Healthineers)

 
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    Siemens Healthineers 3d mr elastography (mre) at 0.55 t in healthy volunteers using hadamard encoding
    3d Mr Elastography (Mre) At 0.55 T In Healthy Volunteers Using Hadamard Encoding, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/3d+encoder/pm39587762-0-35-6?v=Siemens+Healthineers
    Average 90 stars, based on 1 article reviews
    3d mr elastography (mre) at 0.55 t in healthy volunteers using hadamard encoding - by Bioz Stars, 2026-08
    90/100 stars

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    Ablation study: performance measures ± standard error of the mean. ‘ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} $\checkmark$\end{document} ’ indicates included, ‘×’ indicates excluded model components; the first two rows are the complete CANDELA model with the two different pre-training stragies. Models marked ‘ † ’ are significantly worse than CANDELA using only one pre-training task. Models marked ‘*’ are significantly better (pairwise t -test, α = 0.05, corrected for multiple testing using Holm–Šídák). Bold values indicate the best configuration

    Journal: NAR Genomics and Bioinformatics

    Article Title: Cancer drug sensitivity estimation using modular deep Graph Neural Networks

    doi: 10.1093/nargab/lqae043

    Figure Lengend Snippet: Ablation study: performance measures ± standard error of the mean. ‘ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} $\checkmark$\end{document} ’ indicates included, ‘×’ indicates excluded model components; the first two rows are the complete CANDELA model with the two different pre-training stragies. Models marked ‘ † ’ are significantly worse than CANDELA using only one pre-training task. Models marked ‘*’ are significantly better (pairwise t -test, α = 0.05, corrected for multiple testing using Holm–Šídák). Bold values indicate the best configuration

    Article Snippet: As an alternative to pre-training the drug encoder on matabolite properties and toxicity, we have studied the use of the 3D Infomax encoding for drugs.

    Techniques: