Correia, M. A., McLachlin, S. D., & Cronin, D. S. (2025). Integration of Muscle Pre-tension and Activation to Evaluate Neck. Muscle Strain Injury Risk during Simulated Rear Impacts Using a Finite Element Neck Model Stapp Car Crash Journal, 69(1).
Reference author: Stewart McLachlin
First name
Stewart
Middle name
David
Last name
McLachlin
Benais, R., Barina, R., & McLachlin, S. D. (2025). Evaluation of a Force-Control Experimental Method to Perform Unconstrained Load-Induced Subsidence Testing of Spinal Interbody Implants JOR SPINE, 8(3).
Marotta, T., Vlasea, M., & McLachlin, S. D. (2024). Applications of auxetic structures in orthopaedics: A scoping review Bioprinting, 44.
Benais, R., Rycman, A., & McLachlin, S. D. (2024). Development of a continuum-based, meshless, finite element modeling approach for representation of trabecular bone indentation Journal of the Mechanical Behavior of Biomedical Materials, 159.
Correia, M. A., McLachlin, S. D., & Cronin, D. S. (2021). Vestibulocollic and Cervicocollic Muscle Reflexes in a Finite Element Neck Model During Multidirectional Impacts Annals of Biomedical Engineering 49 (7), 1645-1656.
Rycman, A., McLachlin, S. D., & Cronin, D. S. (2021). A hyper-viscoelastic continuum-level finite element model of the spinal cord assessed for transverse indentation and impact loading Frontiers in Bioengineering and Biotechnology 9, 693120.
McGregor, M., Patel, S., McLachlin, S. D., & Vlasea, M. (2021). Data related to architectural bone parameters and the relationship to Ti lattice design for powder bed fusion additive manufacturing. Data in Brief 39, 107633.
Rycman, A., McLachlin, S. D., & Cronin, D. S. (2022). Comparison of numerical methods for cerebrospinal fluid representation and fluid–structure interaction during transverse impact of a finite element spinal cord model International Journal for Numerical Methods in Biomedical Engineering 38 (3), e3570.
McGregor, M., Patel, S., Zhang, K., Yu, A., Vlasea, M., & McLachlin, S. D. (2023). The downside of downskin: an overhang ratio to digitally evaluate printability of complex architectures by laser powder bed fusion additive manufacturing SSRN 4502224.
Chu, J., Hardisty, M. R., Wong, A., & McLachlin, S. D. (2023). Vertebral Detection and Labelling Using Deep Learning for Spine MRI Registration. Journal of Computational Vision and Imaging Systems 9 (1), 65-.