Adjunct Associate Professor
Anjali Tumkur Jaiprakash
This person does not currently hold a position at QUT.
Personal details
Research field
Other Technology, Artificial Intelligence and Image Processing, Clinical Sciences
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- PhD (Queensland University of Technology)
Publications
- Wu, L., Jaiprakash, A., Pandey, A., Fontanarosa, D., Jonmohamadi, Y., Antico, M., Strydom, M., Razjigaev, A., Sasazawa, F., Roberts, J. & Crawford, R. (2020). Robotic and image-guided knee arthroscopy. In M. Abedin-Nasab (Ed.), Handbook of robotic and image-guided surgery (pp. 493–514). Elsevier. https://eprints.qut.edu.au/133286
- Jaiprakash, A., O'Callaghan, W., Whitehouse, S., Pandey, A., Wu, L., Roberts, J. & Crawford, R. (2017). Orthopaedic surgeon attitudes towards current limitations and the potential for robotic and technological innovation in arthroscopic surgery. Journal of Orthopaedic Surgery, 25(1), 1–6. https://eprints.qut.edu.au/107898
- Antico, M., Sasazawa, F., Dunnhofer, M., Camps, S., Jaiprakash, A., Pandey, A., Crawford, R., Carneiro, G. & Fontanarosa, D. (2020). Deep learning-based femoral cartilage automatic segmentation in ultrasound imaging for guidance in robotic knee arthroscopy. Ultrasound in Medicine and Biology, 46(2), 422–435. https://eprints.qut.edu.au/197216
- Antico, M., Sasazawa, F., Wu, L., Jaiprakash, A., Roberts, J., Crawford, R., Pandey, A. & Fontanarosa, D. (2019). Ultrasound guidance in minimally invasive robotic procedures. Medical Image Analysis, 54, 149–167. https://eprints.qut.edu.au/124616
- Antico, M., Vukovic, D., Camps, S., Sasazawa, F., Takeda, Y., Le, A., Jaiprakash, A., Roberts, J., Crawford, R., Fontanarosa, D. & Carneiro, G. (2020). Deep Learning for US Image Quality Assessment Based on Femoral Cartilage Boundary Detection in Autonomous Knee Arthroscopy. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 67(12), 2543–2552. https://eprints.qut.edu.au/136491
- Strydom, M., Jaiprakash, A., Crawford, R., Peynot, T. & Roberts, J. (2016). Towards robotic arthroscopy: 'Instrument gap' segmentation. Proceedings of the 2016 Australasian Conference on Robotics and Automation, 1–10. https://eprints.qut.edu.au/102222
- Tumkur Jaiprakash, A., Prasadam, I., Feng, J., Liu, Y., Crawford, R. & Xiao, Y. (2012). Phenotypic characterization of osteoarthritic osteocytes from the sclerotic zones: A possible pathological role in subchondral bone sclerosis. International Journal of Biological Sciences, 8(3), 406–417. https://eprints.qut.edu.au/49359
QUT ePrints
For more publications by Anjali, explore their research in QUT ePrints (our digital repository).
Awards
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2018
- Details
- 2016 Runner-up for the ¿Best Project Award¿ ¿ Imperial College London - Hamlyn Winter School on Surgical Imaging and Vision, December 2016; Project: Autonomous portal placement for knee arthroscopy
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2018
- Details
- Featured on 2017 Robohub¿s annual Day ¿25 women in robotics you need to know about¿ globally
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2018
- Details
- 2018 MIT technology Review innovator under 35, Asia Pacific.MIT Technology Review selects a list of the most promising innovators around the world - Creating the breakthroughs that will make everything from AI to solar power to heart valves more practical and essential to the world. They all are poised to be leaders in their fields.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2017
- Details
- 2017 AIPS Young Tall Poppy Science Award aimed to recognize the achievements of Australia¿s outstanding young scientific researchers and communicators. Hosted by the Australian Institute of Policy and Science (AIPS) in partnership with the Office of the Queensland Chief Scientist
- Type
- Other
- Reference year
- 2017
- Details
- Life and Robotics Symposium and Panel discussion with some of the world best Roboticist organised by Springer Nature (Oct 2017, Germany). Invited by Dis/Prof Peter Corke
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2015
- Details
- 2015 Top-5 Under-40 Finalist, Australia¿s new generation of science thinkers. (UNSW, ABC-RN Initiative)
Selected research projects
- Title
- ARC Industrial Transformation Training Centre for Collaborative Robotics in Advanced Manufacturing
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- IC200100001
- Start year
- 2021
- Keywords
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Current supervisions
- Virtual fracture reduction for clinically applicable computer-assisted surgery
PhD, Principal Supervisor
Other supervisors: Professor Michael Schuetz, Professor Ross Crawford, Dr Beat Schmutz - Glare Reduction via Light Field Illumination
PhD, Associate Supervisor
Other supervisors: Professor Cameron Brown, Professor Jonathan Roberts