M A Strickland

Summary

Affiliation: University of Southampton
Country: UK

Publications

  1. doi request reprint A multi-platform comparison of efficient probabilistic methods in the prediction of total knee replacement mechanics
    M A Strickland
    Bioengineering Science Research Group, School of Engineering Sciences, University of Southampton, Southampton, UK
    Comput Methods Biomech Biomed Engin 13:701-9. 2010
  2. doi request reprint Targeted computational probabilistic corroboration of experimental knee wear simulator: the importance of accounting for variability
    M A Strickland
    Bioengineering Sciences Research Group, University of Southampton, Hampshire, UK
    Med Eng Phys 33:295-301. 2011
  3. doi request reprint In-silico wear prediction for knee replacements--methodology and corroboration
    M A Strickland
    Bioengineering Sciences Research Group, School of Engineering Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, UK
    J Biomech 42:1469-74. 2009

Collaborators

Detail Information

Publications3

  1. doi request reprint A multi-platform comparison of efficient probabilistic methods in the prediction of total knee replacement mechanics
    M 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...
  2. doi request reprint Targeted computational probabilistic corroboration of experimental knee wear simulator: the importance of accounting for variability
    M 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...
  3. doi request reprint In-silico wear prediction for knee replacements--methodology and corroboration
    M A Strickland
    Bioengineering Sciences Research Group, School of Engineering Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, UK
    J Biomech 42:1469-74. 2009
    ....