Dr Ju Zhang

BE(Hons) PhD

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Honorary Academic


Ju graduated from the University of Auckland with a Bachelor of Engineering (Honours) specialising in Biomedical Engineering in 2009 and went on to complete his PhD in Bioengineering in 2013. Supervised by Professor Poul Nielsen, Ju's doctoral research focused on the development of statistically-based computational methods for characterising the natural variations of femur morphology, as presented in CT images.

On attaining his PhD, Ju returned to the ABI as a postdoctoral research fellow.

Research | Current

Ju is continuing his work in statistical shape modelling and image analysis on other organs, particularly in the lower limbs. In addition, he is making his computational methods publicly available through the FDA-funded Musculoskeletal Atlas Project.

Current projects

  • Musculoskeletal Atlas Project
  • Virtual Clinical Trials Project
  • Statistical shape modelling of the pelvis and spine

Research interests

  • Statistical shape modelling
  • medical image analysis
  • 3-D geometric modelling
  • Orthopaedic applications of population models

Selected publications and creative works (Research Outputs)

  • Zhang, J., & Besier, T. F. (2017). Accuracy of femur reconstruction from sparse geometric data using a statistical shape model. Computer methods in biomechanics and biomedical engineering, 20 (5), 566-576. 10.1080/10255842.2016.1263301
    Other University of Auckland co-authors: Thor Besier
  • Xu, C., Silder, A., Zhang, J., Reifman, J., & Unnikrishnan, G. (2017). A cross-sectional study of the effects of load carriage on running characteristics and tibial mechanical stress: implications for stress-fracture injuries in women. BMC musculoskeletal disorders, 18 (1)10.1186/s12891-017-1481-9
  • Sartori, M., Fernandez, J. W., Modenese, L., Carty, C. P., Barber, L. A., Oberhofer, K., ... Besier, T. F. (2017). Toward modeling locomotion using electromyography-informed 3D models: application to cerebral palsy. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 9 (2)10.1002/wsbm.1368
    URL: http://hdl.handle.net/2292/32892
    Other University of Auckland co-authors: Justin Fernandez, Ngaire Stott, Thor Besier, Geoffrey Handsfield
  • Zhang, J., Fernandez, J., Hislop-Jambrich, J., & Besier, T. F. (2016). Lower limb estimation from sparse landmarks using an articulated shape model. Journal of Biomechanics, 49 (16), 3875-3881. 10.1016/j.jbiomech.2016.10.021
    URL: http://hdl.handle.net/2292/31517
    Other University of Auckland co-authors: Justin Fernandez, Thor Besier
  • Qasim, M., Farinella, G., Zhang, J., Li, X., Yang, L., Eastell, R., & Viceconti, M. (2016). Patient-specific finite element estimated femur strength as a predictor of the risk of hip fracture: the effect of methodological determinants. Osteoporosis International, 27 (9), 2815-2822. 10.1007/s00198-016-3597-4
    URL: http://hdl.handle.net/2292/30785
  • Xu, C., Silder, A., Zhang, J., Hughes, J., Unnikrishnan, G., Reifman, J., & Rakesh, V. (2016). An Integrated Musculoskeletal-Finite-Element Model to Evaluate Effects of Load Carriage on the Tibia During Walking. Journal of Biomechanical Engineering, 138 (10), 101001-101001. 10.1115/1.4034216
  • Zhang, J., Hislop-Jambrich, J., & Besier, T. F. (2016). Predictive statistical models of baseline variations in 3-D femoral cortex morphology. Medical Engineering & Physics, 38 (5), 450-457. 10.1016/j.medengphy.2016.02.003
    URL: http://hdl.handle.net/2292/28768
    Other University of Auckland co-authors: Thor Besier
  • Zhang, J. (2016). GIAS2 (Geometry Image-Analysis Statistics) [Computer software]. Related URL.


Contact details

Primary location

Level 1, Room 117
New Zealand

Web links