- A multi-platform comparison of efficient probabilistic methods in the prediction of total knee replacement mechanicsM A Strickland
Bioengineering Science Research Group, School of Engineering Sciences, University of Southampton, Southampton, UK
Comput Methods Biomech Biomed Engin 13:701-9. 2010..Based on this good agreement with the MCST, the efficient probabilistic techniques may prove useful in the fast evaluation of new implant designs, including considerations of uncertainty, e.g. misalignment...
- Targeted computational probabilistic corroboration of experimental knee wear simulator: the importance of accounting for variabilityM A Strickland
Bioengineering Sciences Research Group, University of Southampton, Hampshire, UK
Med Eng Phys 33:295-301. 2011..As such we recommend that in future, researchers move towards probabilistic studies as a preferred framework for investigations into implant wear...
- In-silico wear prediction for knee replacements--methodology and corroborationM A Strickland
Bioengineering Sciences Research Group, School of Engineering Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, UK
J Biomech 42:1469-74. 2009....