publicationdocuments

Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research. IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2022, (pp.1-5). IEEE.
http://doi.org/10.1109/ISBI52829.2022.9761501

Zhu,J., Bolsterlee, B., Chow, BVY., Son,Y., & Meijering,E. (2022)

Biomechanical Markers of Forward Hop-Landing After ACL-Reconstruction: A Pattern Recognition Approach. Annals of Biomedical Engineering, 50, 330–342 (2022).
https://doi.org/10.1007/s10439-022-02921-4

Sritharan, P., Muñoz, M.A., Pivonka, P., Bryant, A. L., Mokhtarzadeh, H., & Perraton, L. G. (2022).

Variability of Biceps Muscle Stiffness Measured Using Shear Wave Elastography at Different Anatomical Locations With Different Ultrasound Machines. Ultrasound in Medicine & Biology, 49(1), 398-409.
https://doi.org/10.1016/j.ultrasmedbio.2022.09.009

Roots, J., Trajano, GS., Drovandi, C., & Fontanarosa, D. (2023).

Patients around the world to benefit from shoulder surgery skills learnt at Greenslopes Private Hospital.
https://www.ramsayhealth.com.au/News/General-News/Patients-around-the-world-to-benefit-from-shoulder-surgery-skills-learnt-at-Greenslopes

Ramsay Health Care. (2022, August 2).

Congratulations on your REDI Fellowships Ted & Laith [Video]. YouTube.
https://www.youtube.com/watch?v=ZgptQ5tMb18

QUT Centre for Biomedical Technologies. (2022, November 30).

Beam theory for rapid strain estimation in the mouse tibia compression model. Biomechanics and Modeling in Mechanobiology, 21, 513–525.
https://doi.org/10.1007/s10237-021-01546-1

Pickering, E., Trichilo, S., Delisser, P., & Pivonka, P. (2022).

Geometry and bone mineral density determinants of femoral neck strength changes following exercise. Biomechanics and Modeling in Mechanobiology.
https://doi.org/10.1007/s10237-022-01642-w

O’Rourke, D., Beck, B.R., Harding, A.T., Watson, S. L., Pivonka, P., & Martelli, S. (2022).

MTPConnect Announces 16 REDI Fellowships in Sought After Industry Roles.
https://www.mtpconnect.org.au/Story?Action=View&Story_id=551

MTP Connect. (2022, November 15).

Augmented Reality Set to Disrupt Surgical Practices: A Q&A with the CEO of Akunah.
https://www.materialise.com/en/inspiration/articles/augmented-reality-surgical-practices

Materialise. (2022, July 25).

Assessment of Strategies for Safe Drug Discontinuation and Transition of Denosumab Treatment in PMO—Insights From a Mechanistic PK/PD Model of Bone Turnover. Frontiers in Bioengineering and Biotechnology, 10, 886579.
http://doi.org/10.3389/fbioe.2022.886579

Martínez-Reina, J., Calvo-Gallego, J.L., Martin, M., Pivonka, P. (2022).

The effect of age and initial compression on the force relaxation response of the femur in elderly women. Royal Society Open Science. 9, 220301, 220301.
http://doi.org/10.1098/rsos.220301

Martelli, S. (2022).

Statistical Quantification of the Effects of Marker Misplacement and Soft-Tissue Artifact on Shoulder Kinematics and Kinetics. Life. 12(6): 819.
https://doi.org/10.3390/life12060819

Lavaill, M., Martelli, S., Kerr, GK., & Pivonka, P. (2022).

The effects of anatomical errors on shoulder kinematics computed using multi-body models. Biomechanics and Modeling in Mechanobiology. 21, 1561–1572.
https://doi.org/10.1007/s10237-022-01606-0

Lavaill, M., Martelli, S., Gilliland, L., Gupta, A., Kerr, G., & Pivonka, P. (2022).

A Physics-Informed Neural Network-based Topology Optimization (PINNTO) framework for structural optimization. Engineering Structures, 278, 115484.
https://doi.org/10.1016/j.engstruct.2022.115484

Jeong, H., Bai, J., Batuwatta-Gamage, C. P., Rathnayaka, C., Zhou, Y., and Gu, Y. (2023).

Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance. Electronics, 12(1), 29.
http://dx.doi.org/10.3390/electronics12010029

Jebur, S. A., Hussein, K. A., Hoomod, H. K., Alzubaidi, L., & Santamaría, J. (2022).

Single-Stage Revision Reverse Shoulder Arthroplasty: Preoperative Planning, Surgical Technique, and Mixed Reality Execution. Journal of Clinical Medicine, 11(24), 7422
https://doi.org/10.3390/jcm11247422

Italia, K., Launay, M., Gilliland, L., Nielsen, J., Pareyon, R., Hollman, F., Salhi, A., Maharaj, J., Jomaa, M., Cutbush, K., and Gupta, A. (2022).

A vision for the future of wearable sensors in spine care and its challenges: narrative review. Journal of Spine Surgery, 8(1), 103-116. doi: 10.21037/jss-21-112.
https://doi.org/10.21037%2Fjss-21-112

Hodges PW., & van den Hoorn, W. (2022).

Surgical robots could chart the path to better patient outcomes. Engineers Australia Create magazine.
https://createdigital.org.au/surgical-robots-could-chart-the-path-to-better-patient-outcomes/

Deutsch, S. (2022, July 20).

PhD Researcher: Morgan Windsor. Careers in STEM.
https://careerswithstem.com.au/profiles/morgan-windsor/#gsc.tab=0

Cranenburgh, N. (2022, November 21).

QUT celebrates $7 million ARC Discovery grants success. QUT News.
https://www.qut.edu.au/news?id=184430

Chester, R. (2022, December 1).

Asian Pacific Association for Computational Mechanics (2022, November 26). Awards.
https://www.apacm-association.org/awards/

Asian Pacific Association for Computational Mechanics (2022, November 26). Awards.

A new framework for analysis of three-dimensional shape and architecture of human skeletal muscles from in vivo imaging data. Journal of Applied Physiology, 132(3), pp.712-725.
https://doi.org/10.1152/japplphysiol.00638.2021

Bolsterlee, B. (2022).

EMG-Informed Neuromusculoskeletal Models Accurately Predict Knee Loading Measured Using Instrumented Implants. IEEE Transactions on Biomedical Engineering, 69(7), 2268-2275.
http://doi.org/10.1109/TBME.2022.3141067

Bennett, K. J., Pizzolato, C., Martelli, S., Bahl, J. S., Sivakumar, A., Atkins, G. J., Solomon L. B., & Thewlis, D. (2022).

Ex vivo assessment of surgically repaired tibial plateau fracture displacement under axial load using large-volume micro-CT. Journal of Biomechanics, 144, 111275.
https://doi.org/10.1016/j.jbiomech.2022.111275

Bennett, K. J., Callary, S. A., Atkins, G. J., Martelli, S., Perilli, E., Solomon, L. B., & Thewlis, D. (2022).

A general Neural Particle Method for hydrodynamics modeling. Computer Methods in Applied Mechanics and Engineering, 393, 114740.
https://doi.org/10.1016/j.cma.2022.114740

Bai, J., Zhou, Y., Ma, Y., Jeong, H., Zhan, H., Rathnayaka, C., Sauret, E., & Gu, Y. (2022).

A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics. Computational Mechanics.
https://doi.org/10.1007/s00466-022-02252-0

Bai, J., Rabczuk, T., Gupta, A., Alzubaidi, L., & Gu, Y. (2022).

Cortical Thickness Adaptive Response to Mechanical Loading Depends on Periosteal Position and Varies Linearly With Loading Magnitude.
https://doi.org/10.3389/fbioe.2021.671606

Miller, C. J., Trichilo, S., Pickering, E., Martelli, S., Delisser, P., Meakin, L. B., & Pivonka, P. (2021). Cortical Thickness Adaptive Response to Mechanical Loading Depends on Periosteal Position and Varies Linearly With Loading Magnitude. Frontiers in bioengineering and biotechnology, 9, 671606.

Proteoglycan and collagen contribution to the strain-rate-dependent mechanical behaviour of knee and shoulder cartilage.
https://doi.org/10.1016/j.jmbbm.2021.104733

Thibbotuwawa, N., Singh, S., & Gu, Y. (2021). Proteoglycan and collagen contribution to the strain-rate-dependent mechanical behaviour of knee and shoulder cartilage. Journal of the mechanical behavior of biomedical materials, 124, 104733.

Combined Effects of Exercise and Denosumab Treatment on Local Failure in Post-menopausal Osteoporosis-Insights from Bone Remodelling Simulations Accounting for Mineralisation and Damage.
https://doi.org/10.3389/fbioe.2021.635056

Martínez-Reina, J., Calvo-Gallego, J. L., & Pivonka, P. (2021). Combined Effects of Exercise and Denosumab Treatment on Local Failure in Post-menopausal Osteoporosis-Insights from Bone Remodelling Simulations Accounting for Mineralisation and Damage. Frontiers in bioengineering and biotechnology, 9, 635056.

Real-time replication of three-dimensional and time-varying physiological loading cycles for bone and implant testing: A novel protocol demonstrated for the proximal human femur while walking.
https://doi.org/10.1016/j.jmbbm.2021.104817

Martelli, S., & Costi, J. J. (2021). Real-time replication of three-dimensional and time-varying physiological loading cycles for bone and implant testing: A novel protocol demonstrated for the proximal human femur while walking. Journal of the mechanical behavior of biomedical materials, 124, 104817.

How severe acute respiratory syndrome coronavirus-2 aerosol propagates through the age-specific upper airways.
https://doi.org/10.1063/5.0061627

Islam, M. S., Larpruenrudee, P., Saha, S. C., Pourmehran, O., Paul, A. R., Gemci, T., Collins, R., Paul, G., & Gu, Y. (2021). How severe acute respiratory syndrome coronavirus-2 aerosol propagates through the age-specific upper airways. Physics of fluids (Woodbury, N.Y. : 1994), 33(8), 081911.

SARS CoV-2 aerosol: How far it can travel to the lower airways?
Islam, M. S., Larpruenrudee, P., Paul, A. R., Paul, G., Gemci, T., Gu, Y., & Saha, S. C. (2021). SARS CoV-2 aerosol: How far it can travel to the lower airways?. Physics of fluids (Woodbury, N.Y. : 1994), 33(6), 061903.

Islam, M. S., Larpruenrudee, P., Paul, A. R., Paul, G., Gemci, T., Gu, Y., & Saha, S. C. (2021). SARS CoV-2 aerosol: How far it can travel to the lower airways?. Physics of fluids (Woodbury, N.Y. : 1994), 33(6), 061903.

A general Neural Particle Method for hydrodynamics modeling. Computer Methods in Applied Mechanics and Engineering, 393, 114740.
https://doi.org/10.1016/J.CMA.2022.114740

Bai, J., Zhou, Y., Ma, Y., Jeong, H., Zhan, H., Rathnayaka, C., Sauret, E., & Gu, Y. (2022)

Deep learning methods for automatic segmentation of lower-leg muscles and bones from MRI scans of children with and without cerebral palsy. NMR in biomedicine, 34(12), e4609.
https://doi.org/10.1002/nbm.4609

Zhu, J., Bolsterlee, B., Chow, BVY., Cai, C., Herbert, RD., Song, Y., Meijering, E. (2021).

Damage tolerance and toughness of elderly human femora. Acta biomaterialia, 123, 167–177.
https://doi.org/10.1016/j.actbio.2021.01.011

Martelli, S., Giorgi, M., Dall' Ara, E., & Perilli, E. (2021).

Computed tomographic evaluation of glenoid joint line restoration with glenoid bone grafting and reverse shoulder arthroplasty in patients with significant glenoid bone loss. Journal of shoulder and elbow surgery, 30(3), 599–608.
https://doi.org/10.1016/j.jse.2020.09.031

Italia, K. R., Green, N., Maharaj, J., Launay, M., & Gupta, A. (2021).

Three-Dimensional Quantification of Glenoid Bone Loss in Anterior Shoulder Instability: The Anatomic Concave Surface Area Method. Orthopaedic journal of sports medicine, 9(6), 23259671211011058.
https://doi.org/10.1177/23259671211011058

Launay, M., Choudhry, M. N., Green, N., Maharaj, J., Cutbush, K., Pivonka, P., & Gupta, A. (2021).

Assessment of femoral neck strength and bone mineral density changes following exercise using 3D-DXA images. Journal of biomechanics, 119, 110315
https://doi.org/10.1016/j.jbiomech.2021.110315

O'Rourke, D., Beck, B. R., Harding, A. T., Watson, S. L., Pivonka, P., & Martelli, S. (2021).