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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ... Yongwan Lim; Toutios, Asterios; Bliesener, Yannick. - : figshare, 2021 BASE Show details 2 A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ... Lim, Yongwan; Toutios, Asterios; Bliesener, Yannick. - : arXiv, 2021 BASE Show details 3 A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ... Yongwan Lim; Toutios, Asterios; Bliesener, Yannick. - : figshare, 2021 BASE Show details 4 Test–retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging Töger, Johannes; Sorensen, Tanner; Somandepalli, Krishna; Toutios, Asterios; Lingala, Sajan Goud; Narayanan, Shrikanth; Nayak, Krishna. - : Acoustical Society of America, 2017 Abstract: Static anatomical and real-time dynamic magnetic resonance imaging (RT-MRI) of the upper airway is a valuable method for studying speech production in research and clinical settings. The test–retest repeatability of quantitative imaging biomarkers is an important parameter, since it limits the effect sizes and intragroup differences that can be studied. Therefore, this study aims to present a framework for determining the test–retest repeatability of quantitative speech biomarkers from static MRI and RT-MRI, and apply the framework to healthy volunteers. Subjects (n = 8, 4 females, 4 males) are imaged in two scans on the same day, including static images and dynamic RT-MRI of speech tasks. The inter-study agreement is quantified using intraclass correlation coefficient (ICC) and mean within-subject standard deviation (σe). Inter-study agreement is strong to very strong for static measures (ICC: min/median/max 0.71/0.89/0.98, σe: 0.90/2.20/6.72 mm), poor to strong for dynamic RT-MRI measures of articulator motion range (ICC: 0.26/0.75/0.90, σe: 1.6/2.5/3.6 mm), and poor to very strong for velocities (ICC: 0.21/0.56/0.93, σe: 2.2/4.4/16.7 cm/s). In conclusion, this study characterizes repeatability of static and dynamic MRI-derived speech biomarkers using state-of-the-art imaging. The introduced framework can be used to guide future development of speech biomarkers. Test–retest MRI data are provided free for research use. Keyword: Speech Communication URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436977/ http://www.ncbi.nlm.nih.gov/pubmed/28599561 https://doi.org/10.1121/1.4983081 BASE Hide details

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