Research Data Leeds Repository
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Items where Author is "Mengoni, Marlène"
 1 | Up a level2 |
Dataset
Talbott, Harriet and Mengoni, Marlène (2024) Finite Element Models through patient specific gait in people with haemophilia.10 University of Leeds. [Dataset] https://doi.org/10.5518/152011
Koria, Lekha and Mengoni, Marlène and Brockett, Claire (2024) Subchondral bone morphology of ankle in healthy and arthritic joints.12 University of Leeds. [Dataset] https://doi.org/10.5518/150113
Day, Gavin A. and Jones, Alison and Mengoni, Marlène and Wilcox, Ruth (2023) Dataset for the Independent Experimental Calibration and Validation of Finite Element Models of Osteochondral Grafts in Tibiofemoral Joints.14 University of Leeds. [Dataset] https://doi.org/10.5518/138715
Yao, Jiacheng and Mengoni, Marlène (2023) Meniscus sensitivity to knee contact mechanics - computational data.16 University of Leeds. [Dataset] https://doi.org/10.5518/142617
Cooper, Robert J. and Day, Gavin A. and Wijayathunga, Vithanage N. and Yao, Jiacheng and Mengoni, Marlène and Wilcox, Ruth and Jones, Alison (2023) Three subject-specific human tibiofemoral joint finite element models: complete three-dimensional imaging (CT & MR), experimental validation and modelling dataset.18 University of Leeds. [Dataset] https://doi.org/10.5518/98119
Day, Gavin A. and Cooper, Robert J. and Jones, Alison and Mengoni, Marlène and Wilcox, Ruth (2022) Stability of Osteochondral Grafts within Porcine Femoral Condyles - experimental, imaging and computational data for preclinical assessment.20 University of Leeds. [Dataset] https://doi.org/10.5518/120921
Talbott, Harriet and Mengoni, Marlène (2022) Subchondral bone cysts in the ankle: patient-specific finite element study data.22 University of Leeds. [Dataset] https://doi.org/10.5518/120723
Talbott, Harriet and Wilkins, Richard and Redmond, Anthony and Brockett, Claire and Mengoni, Marlène (2021) Changes in Morphology of the Haemophilic Talus: data derived from MR Images.24 University of Leeds. [Dataset] https://doi.org/10.5518/98325
Mengoni, Marlène (2020) Data associated with "Using inverse Finite Element analysis to identify spinal tissue behaviour in situ".26 University of Leeds. [Dataset] https://doi.org/10.5518/76327
Koria, Lekha and Mengoni, Marlène and Brockett, Claire (2020) Estimating tissue-level properties of porcine talar subchondral bone - dataset.28 University of Leeds. [Dataset] https://doi.org/10.5518/78729
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.30 University of Leeds. [Dataset] https://doi.org/10.5518/82631
Mengoni, Marlène (2020) Literature review: methods and validation of facet joints biomechanics in finite element models.32 University of Leeds. [Dataset] https://doi.org/10.5518/92533
Mengoni, Marlène and Wilcox, Ruth (2019) Bovine intervertebral disc bulge characterisation.34 University of Leeds. [Dataset] https://doi.org/10.5518/58635
Cooper, Robert J. and Williams, Sophie and Mengoni, Marlène and Jones, Alison (2018) Dataset associated with 'Patient-specific parameterised cam geometry in finite element models of femoroacetabular impingement of the hip'.36 University of Leeds. [Dataset] https://doi.org/10.5518/32637
Mengoni, Marlène (2017) Bovine intervertebral disc mechanical characterisation dataset.38 University of Leeds. [Dataset] https://doi.org/10.5518/18739
Cooper, Robert J. and Mengoni, Marlène and Williams, Sophie and Jones, Alison (2017) Dataset associated with 'Three-dimensional assessment of impingement risk in geometrically parameterised hips compared with clinical measures.'.40 University of Leeds. [Dataset] https://doi.org/10.5518/13541
Mengoni, Marlène and Wilcox, Ruth (2017) in-vitro evaluation of the biomechanical performance of nucleus augmentation (quasi static axial compression).42 University of Leeds. [Dataset] https://doi.org/10.5518/30043
Mengoni, Marlène and Wilcox, Ruth (2016) Ovine annulus fibrosus damage material model calibration data set.44 University of Leeds. [Dataset] https://doi.org/10.5518/8145
Mengoni, Marlène and Wilcox, Ruth (2015) Cervical Functional Spine Units Multi-Validation Dataset.46 University of Leeds. [Dataset] https://doi.org/10.5518/2447
Mengoni, Marlène and Wilcox, Ruth (2015) Ovine annulus fibrosus interlamellar material model calibration data set.48 University of Leeds. [Dataset] https://doi.org/10.5518/249
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- 3. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Mengoni=3AMarl=E8ne=3A=3A/Atom/Mengoni=3AMarl=E8ne=3A=3A.xml
- 4. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Mengoni=3AMarl=E8ne=3A=3A/Atom/Mengoni=3AMarl=E8ne=3A=3A.xml
- 5. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Mengoni=3AMarl=E8ne=3A=3A/RSS/Mengoni=3AMarl=E8ne=3A=3A.rss
- 6. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Mengoni=3AMarl=E8ne=3A=3A/RSS/Mengoni=3AMarl=E8ne=3A=3A.rss
- 7. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Mengoni=3AMarl=E8ne=3A=3A/RSS2/Mengoni=3AMarl=E8ne=3A=3A.xml
- 8. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Mengoni=3AMarl=E8ne=3A=3A/RSS2/Mengoni=3AMarl=E8ne=3A=3A.xml
- 9. Mengoni=3AMarl=E8ne=3A=3A.default.html
- 10. https://archive.researchdata.leeds.ac.uk/1300/
- 11. https://doi.org/10.5518/1520
- 12. https://archive.researchdata.leeds.ac.uk/1277/
- 13. https://doi.org/10.5518/1501
- 14. https://archive.researchdata.leeds.ac.uk/1275/
- 15. https://doi.org/10.5518/1387
- 16. https://archive.researchdata.leeds.ac.uk/1168/
- 17. https://doi.org/10.5518/1426
- 18. https://archive.researchdata.leeds.ac.uk/1082/
- 19. https://doi.org/10.5518/981
- 20. https://archive.researchdata.leeds.ac.uk/1058/
- 21. https://doi.org/10.5518/1209
- 22. https://archive.researchdata.leeds.ac.uk/1016/
- 23. https://doi.org/10.5518/1207
- 24. https://archive.researchdata.leeds.ac.uk/931/
- 25. https://doi.org/10.5518/983
- 26. https://archive.researchdata.leeds.ac.uk/638/
- 27. https://doi.org/10.5518/763
- 28. https://archive.researchdata.leeds.ac.uk/724/
- 29. https://doi.org/10.5518/787
- 30. https://archive.researchdata.leeds.ac.uk/737/
- 31. https://doi.org/10.5518/826
- 32. https://archive.researchdata.leeds.ac.uk/779/
- 33. https://doi.org/10.5518/925
- 34. https://archive.researchdata.leeds.ac.uk/564/
- 35. https://doi.org/10.5518/586
- 36. https://archive.researchdata.leeds.ac.uk/329/
- 37. https://doi.org/10.5518/326
- 38. https://archive.researchdata.leeds.ac.uk/146/
- 39. https://doi.org/10.5518/187
- 40. https://archive.researchdata.leeds.ac.uk/112/
- 41. https://doi.org/10.5518/135
- 42. https://archive.researchdata.leeds.ac.uk/303/
- 43. https://doi.org/10.5518/300
- 44. https://archive.researchdata.leeds.ac.uk/58/
- 45. https://doi.org/10.5518/81
- 46. https://archive.researchdata.leeds.ac.uk/22/
- 47. https://doi.org/10.5518/24
- 48. https://archive.researchdata.leeds.ac.uk/2/
- 49. https://doi.org/10.5518/2
