Objective To investigate the association of change in thigh muscle volume (TMV) with structural knee changes and changes in knee pain and functional limitation over 48 months. Design Deep learning-based automated segmentations were used to quantify magnetic resonance imaging-derived TMV at baseline and 48 months in 171...
S. Ulas, Felix Liu, G. Joseph et al.· Osteoarthritis and Cartilage...· 0 citations
This narrative review synthesizes recent advances across radiography, computed tomography (CT), and magnetic resonance imaging (MRI), focusing on AI-driven methods for automatic extraction of bone quality markers.
Katharina Ziegeler, S. Majumdar· Calcified Tissue Internation...· 0 citations
DL-based denoising of 0.55 T knee MRI significantly enhances the diagnostic performance, demonstrating results comparable to conventional 3 T, which were not achieved with 0.55 T MRI alone.
S. T. Ulas, Madeline Hess, Zhe-Ren Zhu et al.· European Journal of Radiolog...· 0 citations
LLMs generated radiology-relevant indications from clinical notes that were more comprehensive and factual than clinician indications, and when generated by the proprietary LLM, were ranked most useful in protocoling and imaging interpretation.
A. Serapio, Timothy L. Chen, Brian Tangsombatvisit et al.· Radiology· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
