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Year | Number of Results |
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2020 | 2 |
2022 | 1 |
2023 | 2 |
2024 | 0 |
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Page 1
Machine learning methods to support personalized neuromusculoskeletal modelling.
Biomech Model Mechanobiol. 2020 Aug;19(4):1169-1185. doi: 10.1007/s10237-020-01367-8. Epub 2020 Jul 16.
Biomech Model Mechanobiol. 2020.
PMID: 32676934
Review.
In Silico Biomarkers of Motor Function to Inform Musculoskeletal Rehabilitation and Orthopedic Treatment.
Jonkers I, Beaucage-Gauvreau E, Killen BA, Gupta D, Scheys L, De Groote F.
Jonkers I, et al. Among authors: killen ba.
J Appl Biomech. 2023 Jun 22;39(5):284-293. doi: 10.1123/jab.2023-0029. Print 2023 Oct 1.
J Appl Biomech. 2023.
PMID: 37348849
Free article.
Review.
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Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim.
Di Raimondo G, Vanwanseele B, van der Have A, Emmerzaal J, Willems M, Killen BA, Jonkers I.
Di Raimondo G, et al. Among authors: killen ba.
Sensors (Basel). 2022 Apr 24;22(9):3259. doi: 10.3390/s22093259.
Sensors (Basel). 2022.
PMID: 35590949
Free PMC article.
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Peak Tibiofemoral Contact Forces Estimated Using IMU-Based Approaches Are Not Significantly Different from Motion Capture-Based Estimations in Patients with Knee Osteoarthritis.
Di Raimondo G, Willems M, Killen BA, Havashinezhadian S, Turcot K, Vanwanseele B, Jonkers I.
Di Raimondo G, et al. Among authors: killen ba.
Sensors (Basel). 2023 May 4;23(9):4484. doi: 10.3390/s23094484.
Sensors (Basel). 2023.
PMID: 37177688
Free PMC article.
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A multi-scale modelling framework combining musculoskeletal rigid-body simulations with adaptive finite element analyses, to evaluate the impact of femoral geometry on hip joint contact forces and femoral bone growth.
Kainz H, Killen BA, Wesseling M, Perez-Boerema F, Pitto L, Garcia Aznar JM, Shefelbine S, Jonkers I.
Kainz H, et al. Among authors: killen ba.
PLoS One. 2020 Jul 23;15(7):e0235966. doi: 10.1371/journal.pone.0235966. eCollection 2020.
PLoS One. 2020.
PMID: 32702015
Free PMC article.
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