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Pezhman Eghbali

Showing results (1-10 of 9) with videos related to

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Frontiers in Surgery|October 27, 2025
Machine learning to predict the occurrence of complications after total shoulder arthroplasty for B2-B3 glenoidsOrlando Parmigiani, Alain Farron, Patrick Goetti, et al.
Journal of Biomechanics|January 16, 2024
Glenohumeral joint force prediction with deep learningPezhman Eghbali, Fabio Becce, Patrick Goetti, et al.
Injury|October 18, 2025
Analysis of factors influencing injuries and performance in trail runningDino Soppelsa, Alexandre Terrier, Pezhman Eghbali, et al.
Journal of Shoulder and Elbow Surgery|October 28, 2023
Three-dimensional evaluation of the transverse rotator cuff muscle's resultant force angle in relation to scapulohumeral subluxation and glenoid vault morphology in nonpathological shouldersXavier Lannes, Patrick Goetti, Matthieu Boubat, et al.
Communications Engineering|February 16, 2025
Helmet material design for mitigating traumatic axonal injuries through AI-driven constitutive law enhancementVincent Varanges, Pezhman Eghbali, Naser Nasrollahzadeh, et al.
Computer Methods and Programs in Biomedicine|February 26, 2025
Causal associations between scapular morphology and shoulder condition estimated with Bayesian statisticsPezhman Eghbali, Osman Berk Satir, Fabio Becce, et al.
Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society|May 17, 2022
Age- and sex-specific normative values of bone mineral density in the adult glenoidPezhman Eghbali, Fabio Becce, Patrick Goetti, et al.
European Journal of Radiology|June 30, 2024
Automatic quantification of scapular and glenoid morphology from CT scans using deep learningOsman Berk Satir, Pezhman Eghbali, Fabio Becce, et al.
Journal of Shoulder and Elbow Surgery|September 3, 2025
Deep Learning for Automated 3D Assessment of Rotator Cuff Muscle Atrophy and Fat Infiltration prior to Total Shoulder ArthroplastyJay M Levin, Osman B Satir, Eoghan T Hurley, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Surgery|October 27, 2025
Machine learning to predict the occurrence of complications after total shoulder arthroplasty for B2-B3 glenoidsOrlando Parmigiani, Alain Farron, Patrick Goetti, et al.
Journal of Biomechanics|January 16, 2024
Glenohumeral joint force prediction with deep learningPezhman Eghbali, Fabio Becce, Patrick Goetti, et al.
Injury|October 18, 2025
Analysis of factors influencing injuries and performance in trail runningDino Soppelsa, Alexandre Terrier, Pezhman Eghbali, et al.
Journal of Shoulder and Elbow Surgery|October 28, 2023
Three-dimensional evaluation of the transverse rotator cuff muscle's resultant force angle in relation to scapulohumeral subluxation and glenoid vault morphology in nonpathological shouldersXavier Lannes, Patrick Goetti, Matthieu Boubat, et al.
Communications Engineering|February 16, 2025
Helmet material design for mitigating traumatic axonal injuries through AI-driven constitutive law enhancementVincent Varanges, Pezhman Eghbali, Naser Nasrollahzadeh, et al.
Computer Methods and Programs in Biomedicine|February 26, 2025
Causal associations between scapular morphology and shoulder condition estimated with Bayesian statisticsPezhman Eghbali, Osman Berk Satir, Fabio Becce, et al.
Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society|May 17, 2022
Age- and sex-specific normative values of bone mineral density in the adult glenoidPezhman Eghbali, Fabio Becce, Patrick Goetti, et al.
European Journal of Radiology|June 30, 2024
Automatic quantification of scapular and glenoid morphology from CT scans using deep learningOsman Berk Satir, Pezhman Eghbali, Fabio Becce, et al.
Journal of Shoulder and Elbow Surgery|September 3, 2025
Deep Learning for Automated 3D Assessment of Rotator Cuff Muscle Atrophy and Fat Infiltration prior to Total Shoulder ArthroplastyJay M Levin, Osman B Satir, Eoghan T Hurley, et al.
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