M A Strickland

Summary

Country: UK

Publications

  1. ncbi 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
  2. ncbi 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. ncbi 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

Collaborators

Detail Information

Publications3

  1. ncbi 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
    ....
  2. ncbi 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. ncbi 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...