Search Results - Eghbali, Pezhman

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  1. 1
    Auxetic clamped-clamped resonators for high-efficiency vibration energy harvesting at low-frequency excitation

    Auxetic clamped-clamped resonators for high-efficiency vibration energy harvesting at low-frequency excitation by Ebrahimian, Fariba, Kabirian, Zohre, Younesian, Davood, Eghbali, Pezhman

    Published in Applied energy
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  2. 2
    Three-dimensional evaluation of the transverse rotator cuff muscle's resultant force angle in relation to scapulohumeral subluxation and glenoid vault morphology in nonpathological shoulders

    Three-dimensional evaluation of the transverse rotator cuff muscle's resultant force angle in relation to scapulohumeral subluxation and glenoid vault morphology in nonpathological... by Lannes, Xavier, Goetti, Patrick, Boubat, Matthieu, Eghbali, Pezhman, Becce, Fabio, Farron, Alain, Terrier, Alexandre

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  3. 3
    Glenohumeral joint force prediction with deep learning

    Glenohumeral joint force prediction with deep learning by Eghbali, Pezhman, Becce, Fabio, Goetti, Patrick, Büchler, Philippe, Pioletti, Dominique P., Terrier, Alexandre

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  4. 4
    Age‐ and sex‐specific normative values of bone mineral density in the adult glenoid

    Age‐ and sex‐specific normative values of bone mineral density in the adult glenoid by Eghbali, Pezhman, Becce, Fabio, Goetti, Patrick, Vauclair, Frederic, Farron, Alain, Büchler, Philippe, Pioletti, Dominique, Terrier, Alexandre

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  5. 5
    Automatic quantification of scapular and glenoid morphology from CT scans using deep learning

    Automatic quantification of scapular and glenoid morphology from CT scans using deep learning by Satir, Osman Berk, Eghbali, Pezhman, Becce, Fabio, Goetti, Patrick, Meylan, Arnaud, Rothenbühler, Kilian, Diot, Robin, Terrier, Alexandre, Büchler, Philippe

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