Zobrazeno 1 - 10 of 46 pro vyhledávání: '"Sarah C Foreman"'
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Akademický článek
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning
Autor: Aleksandra M. Paciorek, Claudio E. von Schacky, Sarah C. Foreman, Felix G. Gassert, Florian T. Gassert, Jan S. Kirschke, Karl-Ludwig Laugwitz, Tobias Geith, Martin Hadamitzky, Jonathan Nadjiri
Publikováno v: BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background A deep learning (DL) model that automatically detects cardiac pathologies on cardiac MRI may help streamline the diagnostic workflow. To develop a DL model to detect cardiac pathologies on cardiac MRI T1-mapping and late gadoliniu
Externí odkaz: https://doaj.org/article/a5ad92af55354f5f974c629581339eff
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2
Akademický článek
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CT
Autor: Sophia S. Goller, Jon F. Rischewski, Thomas Liebig, Jens Ricke, Sebastian Siller, Vanessa F. Schmidt, Robert Stahl, Julian Kulozik, Thomas Baum, Jan S. Kirschke, Sarah C. Foreman, Alexandra S. Gersing
Publikováno v: Diagnostics, Vol 13, Iss 12, p 2119 (2023)
Opportunistic osteoporosis screening using multidetector CT-scans (MDCT) and convolutional neural network (CNN)-derived segmentations of the spine to generate volumetric bone mineral density (vBMD) bears the potential to improve incidental osteoporot
Externí odkaz: https://doaj.org/article/8df086a9001448e4b51b69473523ebe1
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3
Akademický článek
Is treated HIV infection associated with knee cartilage degeneration and structural changes? A longitudinal study using data from the osteoarthritis initiative
Autor: Yao Liu, Sarah C. Foreman, Gabby B. Joseph, Jan Neumann, Phyllis C. Tien, Xiaoming Li, Nancy E. Lane, Michael C. Nevitt, Charles E. McCulloch, Thomas M. Link
Publikováno v: BMC Musculoskeletal Disorders, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Metabolic disorders presenting in HIV-infected patients on antiretroviral therapy (ART) may increase the risk of osteoarthritis. However, structural changes of the knee in HIV infected subjects are understudied. The aim of this st
Externí odkaz: https://doaj.org/article/db9edc5d531c4a5db11cf8111ea0f4ce
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5
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CT
Autor: Gersing, Sophia S. Goller, Jon F. Rischewski, Thomas Liebig, Jens Ricke, Sebastian Siller, Vanessa F. Schmidt, Robert Stahl, Julian Kulozik, Thomas Baum, Jan S. Kirschke, Sarah C. Foreman, Alexandra S.
Publikováno v: Diagnostics; Volume 13; Issue 12; Pages: 2119
Opportunistic osteoporosis screening using multidetector CT-scans (MDCT) and convolutional neural network (CNN)-derived segmentations of the spine to generate volumetric bone mineral density (vBMD) bears the potential to improve incidental osteoporot
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::24eca08e18463bf6b989b187d1c302d5
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9
Determining a Threshold of Medial Meniscal Extrusion for Prediction of Knee Pain and Cartilage Damage Progression Over 4 Years: Data From the Osteoarthritis Initiative
Autor: Nancy E Lane, Michael C. Nevitt, Yao Liu, Charles E. McCulloch, Thomas M. Link, Sarah C. Foreman, Xiaoming Li, Gabby B. Joseph
Publikováno v: American Journal of Roentgenology. 216:1318-1328
BACKGROUND. The extent of medial meniscal extrusion (MME) that is associated with structural and symptomatic progression of knee osteoarthritis has not been defined yet. OBJECTIVE. The purpose of our study was to investigate MRI-based thresholds of M
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5817cc82d6373c21bfa116dd8049c185
https://doi.org/10.2214/ajr.20.23864
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10
Meniscal Root Tears and Extrusion Are Significantly Associated with the Development of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative
Autor: Yao Liu, Michael C. Nevitt, Thomas M. Link, Nancy E Lane, Jan Neumann, Sarah C Foreman, Gabby B. Joseph, Charles E. McCulloch
Publikováno v: Cartilage
Objective To identify joint structural risk factors, measured using quantitative compositional and semiquantitative magnetic resonance imaging (MRI) scoring, associated with the development of accelerated knee osteoarthritis (AKOA) compared with a mo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c28372409e77e7082f0fb6e1e534bc0a
https://doi.org/10.1177/1947603520934525
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