Zobrazeno 1 - 10
of 417
pro vyhledávání: '"C, Foreman"'
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
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
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
Autor:
Georg C. Feuerriegel, Sophia Kronthaler, Christof Boehm, Martin Renz, Yannik Leonhardt, Florian Gassert, Sarah C. Foreman, Kilian Weiss, Markus Wurm, Thomas Liebig, Marcus R. Makowski, Benedikt J. Schwaiger, Dimitrios C. Karampinos, Alexandra S. Gersing
Publikováno v:
European Radiology. 33:1445-1455
Objectives To evaluate the performance of single-echo Dixon water-fat imaging and computed tomography (CT)–like imaging based on a single ultrashort echo time (sUTE) MR sequence for imaging of vertebral fractures as well as degenerative bone change
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
Autor:
Sarah C. Foreman, Oscar Llorián-Salvador, Diana E. David, Verena K. N. Rösner, Jon F. Rischewski, Georg C. Feuerriegel, Daniel W. Kramp, Ina Luiken, Ann-Kathrin Lohse, Jurij Kiefer, Carolin Mogler, Carolin Knebel, Matthias Jung, Miguel A. Andrade-Navarro, Burkhard Rost, Stephanie E. Combs, Marcus R. Makowski, Klaus Woertler, Jan C. Peeken, Alexandra S. Gersing
Publikováno v:
Cancers; Volume 15; Issue 7; Pages: 2150
Background: The aim of this study was to develop and validate radiogenomic models to predict the MDM2 gene amplification status and differentiate between ALTs and lipomas on preoperative MR images. Methods: MR images were obtained in 257 patients dia
Akademický článek
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Publikováno v:
Journal of Composite Materials. 56:2189-2199
Polymer composite materials are widely used in marine applications where an understanding of the long-term performance is essential for economic, safety and durability requirements. Although moisture absorption in composites has been studied for many
Autor:
Claudio E. von Schacky, Nikolas J. Wilhelm, Valerie S. Schäfer, Yannik Leonhardt, Matthias Jung, Pia M. Jungmann, Maximilian F. Russe, Sarah C. Foreman, Felix G. Gassert, Florian T. Gassert, Benedikt J. Schwaiger, Carolin Mogler, Carolin Knebel, Ruediger von Eisenhart-Rothe, Marcus R. Makowski, Klaus Woertler, Rainer Burgkart, Alexandra S. Gersing
Publikováno v:
European Radiology. 32:6247-6257
Objectives To develop and validate machine learning models to distinguish between benign and malignant bone lesions and compare the performance to radiologists. Methods In 880 patients (age 33.1 ± 19.4 years, 395 women) diagnosed with malignant (n =
Autor:
Alexandra S. Gersing, Rainer Burgkart, Marcus R. Makowski, Rüdiger von Eisenhart-Rothe, Florian T. Gassert, Carolin Mogler, Matthias Jung, Pia M. Jungmann, Felix G. Gassert, Claudio E. von Schacky, Valerie S. Schäfer, Sarah C. Foreman, Maximilian F. Russe, Klaus Woertler, Yannik Leonhardt, Nikolas J. Wilhelm, Carolin Knebel
Publikováno v:
Radiology. 301:398-406
Background An artificial intelligence model that assesses primary bone tumors on radiographs may assist in the diagnostic workflow. Purpose To develop a multitask deep learning (DL) model for simultaneous bounding box placement, segmentation, and cla