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European Radiology Experimental|May 1, 2018
Semi-quantitative evaluation of signal intensity and contrast-enhancement in Modic changesMarta Tibiletti, Cristina Ciavarro, Vlasta Bari, et al.
Medical Engineering & Physics|January 15, 2016
Pedicle screw cement augmentation. A mechanical pullout study on different cement augmentation techniquesFrancesco Costa, Alessandro Ortolina, Fabio Galbusera, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 11, 2013
Medial meniscal displacement and strain in three dimensions under compressive loads: MR assessmentMaren Freutel, Andreas M Seitz, Fabio Galbusera, et al.
Scientific Data|May 29, 2024
Dataset of Finite Element Models of Normal and Deformed Thoracolumbar SpineMorteza Rasouligandomani, Alejandro Del Arco, Francis Kiptengwer Chemorion, et al.
Health Economics Review|May 5, 2017
A comparative analysis of a disposable and a reusable pedicle screw instrument kit for lumbar arthrodesis: integrating HTA and MCDAClaudia Ottardi, Alessio Damonti, Emanuele Porazzi, et al.
The Spine Journal : Official Journal of the North American Spine Society|May 21, 2013
Primary stability of pedicle screws depends on the screw positioning and alignmentFrancesco Costa, Tomaso Villa, Federica Anasetti, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|October 24, 2008
Design concepts in lumbar total disc arthroplastyFabio Galbusera, Chiara M Bellini, Thomas Zweig, et al.
Frontiers in Bioengineering and Biotechnology|November 19, 2015
Planning the Surgical Correction of Spinal Deformities: Toward the Identification of the Biomechanical Principles by Means of Numerical SimulationFabio Galbusera, Tito Bassani, Luigi La Barbera, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|August 29, 2023
Deep phenotyping the cervical spine: automatic characterization of cervical degenerative phenotypes based on T2-weighted MRIFrank Niemeyer, Fabio Galbusera, Youping Tao, et al.
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