Items where authors include "Di Marco, R."

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Number of items: 8.

Article

Montefiori, E. orcid.org/0000-0003-2498-7877, Modenese, L. orcid.org/0000-0003-1402-5359, Di Marco, R. et al. (10 more authors) (2019) Linking joint impairment and gait biomechanics in patients with Juvenile Idiopathic Arthritis. Annals of Biomedical Engineering, 47 (11). pp. 2155-2167. ISSN 0090-6964

Montefiori, E., Modenese, L., Di Marco, R. et al. (10 more authors) (2019) An image-based kinematic model of the tibiotalar and subtalar joints and its application to gait analysis in children with Juvenile Idiopathic Arthritis. Journal of Biomechanics, 85. pp. 27-36. ISSN 0021-9290

Di Marco, R., Rossi, S., Castelli, E. et al. (3 more authors) (2017) Effects of the calibration procedure on the metrological performances of stereophotogrammetric systems for human movement analysis. Measurement, 101. pp. 265-271. ISSN 1873-412X

Di Marco, R. orcid.org/0000-0002-3644-352X, Rossi, S., Racic, V. et al. (2 more authors) (2016) Concurrent repeatability and reproducibility analyses of four marker placement protocols for the foot-ankle complex. Journal of Biomechanics, 49 (14). pp. 3168-3176. ISSN 0021-9290

Prinold, J.I.A., Mazza, C., Di Marco, R. et al. (10 more authors) (2016) A patient-specific foot model for the estimate of ankle joint forces in patients with Juvenile Idiopathic Arthritis. Annals of Biomedical Engineering. ISSN 0090-6964

Prinold, J.A.I., Mazza, C., Di Marco, R. et al. (9 more authors) (2015) A Patient-Specific Foot Model for the Estimate of Ankle Joint Forces in Patients with Juvenile Idiopathic Arthritis. Annals of Biomedical Engineering. ISSN 0090-6964

Proceedings Paper

Montefiori, E., Modenese, L., Di Marco, R. et al. (7 more authors) (2018) MRI-based musculoskeletal models for the quantification of gait in children with Juvenile Idiopathic Arthritis. In: Gait & Posture. ESMAC 2018, 24 Sep 2018 - 29 Sep 2019, Prague, Czech Republic. Elsevier , pp. 216-218.

Di Marco, R. orcid.org/0000-0002-3644-352X, Pacilli, A., Scalona, E. et al. (3 more authors) (2016) Choosing a similarity index to quantify gait data variability. In: Gait & Posture. XVII Congress of the Italian Society of Movement Analysis in Clinics SIAMOC, 05-08 Oct 2016, Milano, Italy. Elsevier .

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