Detail Information
Publications
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....
