Research Data Leeds Repository

Items where Division is "Faculty of Biological Sciences > Institute of Medical and Biological Engineering
Faculty of Engineering and Physical Sciences > Institute of Medical and Biological Engineering
Faculty of Engineering and Physical Sciences > School of Mechanical Engineering > Institute of Medical and Biological Engineering" and Year is 2020

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Number of items: 7.

C

Conaghan, Philip and Edwards, Jennifer and Fermor, Hazel and Fisher, John and Herbert, Anthony and Ingham, Eileen and Jennings, Louise and Jones, Alison and Mengoni, Marlène and Wilcox, Ruth (2020) The Institute of Medical and Biological Engineering Knee Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/826

Cowie, Raelene and Jennings, Louise (2020) Data associated with “Third body wear of UHMWPE-on-PEEK-OPTIMA™”. University of Leeds. [Dataset] https://doi.org/10.5518/752

K

Koria, Lekha and Mengoni, Marlène and Brockett, Claire (2020) Estimating tissue-level properties of porcine talar subchondral bone - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/787

L

Liu, Aiqin and Sanderson, William J. and Ingham, Eileen and Fisher, John and Jennings, Louise (2020) Data associated with ‘Development of a specimen-specific in vitro pre-clinical simulation model of the human cadaveric knee with appropriate soft tissue constraints’. University of Leeds. [Dataset] https://doi.org/10.5518/772

M

Mengoni, Marlène (2020) Data associated with "Using inverse Finite Element analysis to identify spinal tissue behaviour in situ". University of Leeds. [Dataset] https://doi.org/10.5518/763

Mengoni, Marlène (2020) Literature review: methods and validation of facet joints biomechanics in finite element models. University of Leeds. [Dataset] https://doi.org/10.5518/925

N

Norbertczak, Halina and Ingham, Eileen and Fermor, Hazel and Wilcox, Ruth (2020) Supplementary data associated with research paper: Decellurised intervertebral discs: A potential replacement for degenerate human intervertebral discs. University of Leeds. [Dataset] https://doi.org/10.5518/791

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