publicationdocuments
How severe acute respiratory syndrome coronavirus-2 aerosol propagates through the age-specific upper airways.
https://doi.org/10.1063/5.0061627Islam, M. S., Larpruenrudee, P., Saha, S. C., Pourmehran, O., Paul, A. R., Gemci, T., Collins, R., Paul, G., & Gu, Y. (2021)
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)
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.2020.09.031Italia, 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/10.1177/23259671211011058Launay, M., Choudhry, M. N., Green, N., Maharaj, J., Cutbush, K., Pivonka, P., & Gupta, A. (2021)
Damage tolerance and toughness of elderly human femora. Acta biomaterialia, 123, 167–177.
https://doi.org/10.1016/j.actbio.2021.01.011Martelli, S., Giorgi, M., Dall' Ara, E., & Perilli, E. (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.
https://doi.org/10.1016/j.jmbbm.2021.104817Martelli, S., & Costi, J. J. (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.
https://doi.org/10.3389/fbioe.2021.635056Martínez-Reina, J., Calvo-Gallego, J. L., & Pivonka, P. (2021)
Cortical Thickness Adaptive Response to Mechanical Loading Depends on Periosteal Position and Varies Linearly With Loading Magnitude.
https://doi.org/10.3389/fbioe.2021.671606Miller, C. J., Trichilo, S., Pickering, E., Martelli, S., Delisser, P., Meakin, L. B., & Pivonka, P. (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.2021.110315O'Rourke, D., Beck, B. R., Harding, A. T., Watson, S. L., Pivonka, P., & Martelli, S. (2021)
Proteoglycan and collagen contribution to the strain-rate-dependent mechanical behaviour of knee and shoulder cartilage.
https://doi.org/10.1016/j.jmbbm.2021.104733Thibbotuwawa, N., Singh, S., & Gu, Y. (2021)
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.4609Zhu, J., Bolsterlee, B., Chow, BVY., Cai, C., Herbert, RD., Song, Y., Meijering, E. (2021)
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)
A general Neural Particle Method for hydrodynamics modeling. Computer Methods in Applied Mechanics and Engineering, 393, 114740.
https://doi.org/10.1016/J.CMA.2022.114740Bai, 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/s00466-022-02252-0Bai, J., Rabczuk, T., Gupta, A., Alzubaidi, L., & Gu, Y. (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.2022.114740Bai, J., Zhou, Y., Ma, Y., Jeong, H., Zhan, H., Rathnayaka, C., Sauret, E., & Gu, Y. (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.2022.3141067Bennett, 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.2022.111275Bennett, K. J., Callary, S. A., Atkins, G. J., Martelli, S., Perilli, E., Solomon, L. B., & Thewlis, D. (2022)
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.00638.2021Bolsterlee, B. (2022)
QUT celebrates $7 million ARC Discovery grants success. QUT News.
https://www.qut.edu.au/news?id=184430Chester, R. (2022, December 1)
PhD Researcher: Morgan Windsor. Careers in STEM.
https://careerswithstem.com.au/profiles/morgan-windsor/#gsc.tab=0Cranenburgh, N. (2022, November 21)
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)
Biomedical College.
https://www.engineersaustralia.org.au/engineering-communities/colleges-and-college-national-committees/biomedical-collegeEngineers Australia. (2022, December 13)
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-21-112Hodges PW., & van den Hoorn, W. (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/jcm11247422Italia, K., Launay, M., Gilliland, L., Nielsen, J., Pareyon, R., Hollman, F., Salhi, A., Maharaj, J., Jomaa, M., Cutbush, K., and Gupta, A. (2022).
Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance. Electronics, 12(1), 29.
http://dx.doi.org/10.3390/electronics12010029Jebur, S. A., Hussein, K. A., Hoomod, H. K., Alzubaidi, L., & Santamaría, J. (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/life12060819Lavaill, 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/s10237-022-01606-0Lavaill, M., Martelli, S., Gilliland, L., Gupta, A., Kerr, G., & 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.220301Martelli, S. (2022)
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-practicesMaterialise. (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.2022.886579Martínez-Reina, J., Calvo-Gallego, J.L., Martin, M., Pivonka, P. (2022)
MTPConnect Announces 16 REDI Fellowships in Sought After Industry Roles.
https://www.mtpconnect.org.au/Story?Action=View&Story_id=551MTP Connect. (2022, November 15).
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-wO’Rourke, D., Beck, B.R., Harding, A.T., Watson, S. L., Pivonka, P., & Martelli, S. (2022)
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/s10237-021-01546-1Pickering, E., Trichilo, S., Delisser, P., & Pivonka, P. (2022)
Congratulations on your REDI Fellowships Ted & Laith [Video]. YouTube.
https://www.youtube.com/watch?v=ZgptQ5tMb18QUT Centre for Biomedical Technologies. (2022, November 30)
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-GreenslopesRamsay Health Care. (2022, August 2)
Greenslopes Private Hospital surgeon takes part in 36 hours of live surgery.
https://www.ramsaynews.com.au/sitecore/content/MD/Home/News/General-News/Greenslopes-Private-Hospital-surgeon-takes-part-in-36-hours-of-live-surgery?fbclid=IwAR3rSWLnp6swMg9rrqnhq-WkeWdhn8cT60UIZ8vCLYmCR_bl0kHlZyP3qE8Ramsay Health Care. (2022, October 18)
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/s10439-022-02921-4Sritharan, P., Muñoz, M.A., Pivonka, P., Bryant, A. L., Mokhtarzadeh, H., & Perraton, L. G. (2022)
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/ISBI52829.2022.9761501Zhu,J., Bolsterlee, B., Chow, BVY., Son,Y., & Meijering,E. (2022)
A Concise Review on Deep Learning for Musculoskeletal X-ray Images
https://doi.org/10.1109/DICTA56598.2022.10034618Alammar, Z., Alzubaidi, L., Zhang, J., Santamaría, J., Li, Y., & Gu, T. (2023).
Deep Transfer Learning with Enhanced Feature Fusion for Detection of Abnormalities in X-ray Images
https://www.mdpi.com/2072-6694/15/15/4007Alammar, Zaenab, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li, Waail Lafta, and Yuantong Gu. (2023)
Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases
https://doi.org/10.3390/s23041854Alamoodi, A. H., Albahri, O. S.., Zaidan, A. A.., Alsattar, H.A., Zaidan, B.B., Albahri, A.S., Ismail, A., Kou, G., Alzubaidi, L., & Talal, M. (2023).
A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology
https://doi.org/10.1155/2023/7741735Albahri, A. S., Al-Qaysi, Z. T., Alzubaidi, L., Alnoor, A., Albahri, O. S., Alamoodi, A. H., & Bakar, A. A. (2023).
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
https://doi.org/10.1016/j.inffus.2023.03.008.Albahri, A.S., Duhaim, A.M., Fadhel, M.A., Alnoor, A., Baqer, N.S., Alzubaidi, L., Albahri, O.S., Alamoodi, A.H., Bai, L., Salhi, A., Santamaría, J., Ouyang, C., Gupta, A., Gu, Y & Deveci, M. (2023).
One step surgical scene restoration for robot assisted minimally invasive surgery.
https://doi.org/10.1038/s41598-022-26647-4Ali, S., Jonmohamadi, Y., Fontanarosa, D., Crawford, R., & Pandey, A. (2023).
A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning
https://doi.org/10.3390/diagnostics13101689Al-Timemy, A. H., Alzubaidi, L., Mosa, Z.M., Abdelmotaal, H., Ghaeb, N.H., Lavric, A., Hazarbassanov, R.M., Takahashi,H., Gu, Y & Yousefi, S. (2023).
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.
https://doi.org/10.1186/s40537-023-00727-2Alzubaidi, L., Bai, J., Al-Sabaawi, A., Santamaria, J., Albahri, A.S., Al-dabbagh, B.S.N., Fadhel, M.A., Manoufali, M., Zhang, J., Al-Timemy, A.H., Duan, Y., Abdullah, A., Farhan, L., Lu, Y., Gupta, A., Albu, F., Abbosh, A., & Gu, Y. (2023).
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements
https://doi.org/10.1155/2023/4459198Alzubaidi, L., Al-Sabaawi, A., Bai, J., Dukhan, A., Alkenani, A.H., Al-Asadi, A., A. Alwzwazy, H., Manoufali, M., Fadhel, M.A., Albahri, A.S., Moreira, C., and Ouyang, C. (2023)
Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction
https://doi.org/10.1016/j.engappai.2023.107627Alzubaidi, L., Chlaib, H.K., Fadhel, M.A., Chen, Y., Bai, J., Albahri, A.S., and Gu, Y. (2023)
Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images
https://doi.org/10.1109/EMBC40787.2023.10340309Alzubaidi, L., Fadhel, M.A., Albahri, A. S., Salhi, A., Gupta, A., and Gu, Y. (2023)
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression
https://doi.org/10.3390/life13030691Awad, F.H.; Hamad, M.M.; Alzubaidi, L. (2023).
An Introduction to Programming Physics-Informed Neural Network-Based Computational Solid Mechanics
https://doi.org/10.1142/S0219876223500135Bai J, Jeong H, Batuwatta-Gamage C, Xiao S, Wang Q, Rathnayaka C, Alzubaidi L, Liu G-R, Gu Y. (2023).
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear partial differential equations
https://www.researchgate.net/publication/370001456_Physics-informed_radial_basis_network_PIRBN_A_local_approximation_neural_network_for_solving_nonlinear_PDEsBai, J & Liu, G.R., Gupta, A., Alzubaidi, L., Feng, X., and Gu., Y. (2023)
Bone turnover and mineralisation kinetics control trabecular BMDD and apparent bone density - insights from a discrete statistical bone remodelling model
https://doi.org/10.21203/rs.3.rs-3283954/v1Castoldi, N., Pickering, E., & Sansalone, V., Cooper, D., and Pivonka, P. (2023)
Human lower leg muscles grow asynchronously
https://doi.org/10.1111/joa.13967Chow, B.V.Y., Morgan, C., Rae, C., Warton, D.I., Novak, I., Davies, S., Lancaster, A., Popovic, G.C., Rizzo, R.R.N., Rizzo, C.Y., Kyriagis, M., Herbert, R., and Bolsterlee.. B. (2023)
Daily administration of parathyroid hormone slows the progression of basic multicellular units in the cortical bone of the rabbit distal tibia
https://doi.org/10.1016/j.bone.2023.116864Cooper, D.M.L., Harrison., K.D., Hiebert, B.D., King, G.A., Panahifar, A., Zhu, N., Swekla, K.J., Pivonka, P., Chapman, L.D., and Arnason, T. (2023)
Quantifying Muscle Size Asymmetry in Adolescent Idiopathic Scoliosis Using Three-dimensional Magnetic Resonance Imaging
https://pubmed.ncbi.nlm.nih.gov/37432908/Duncombe, Phoebe; Izatt, Maree T; Pivonka, Peter; Claus, Andrew; Little, J. Paige; Tucker, Kylie. (2023)
The role of muscle forces and gait cycle discretization when assessing acetabular cup primary stability: A finite element study
https://doi.org/10.1016/j.cmpb.2023.107351Fallahnezhad, K., O'Rourke, D., Bahl, J.S., Thewlis, D., and Taylor, M. (2023)
Reverse shoulder arthroplasty: State-of-the-art
https://doi.org/10.1016/j.jisako.2023.05.007Franceschi, F., Giovannetti de Sanctis, E., Gupta, A., Athwal, G. S., & Di Giacomo, G. (2023).
Restoration of glenoid joint line: a three-dimensional analysis of scapular landmarks
https://doi.org/10.1016/j.jseint.2023.01.012Gilliland, L., Launay, M., Salhi, A., Green, N., Maharaj, J., Italia, K. R., Cutbush, K., & Gupta, A. (2023).
Clinical And Radiological Outcomes Of All Arthroscopic Muscle Advancement For Massive Retracted Posterosuperior Cuff Tears
https://doi.org/10.1302/1358-992X.2023.2.029Gupta A, Jomaa M, Ker, A., Hollman, F., Sing, N., Maharaj, J., & Cutbush, K. (2023).
Device antagonist hybrid fusion model for suspect keratoconus detection
https://iovs.arvojournals.org/article.aspx?articleid=2791248Hazarbassanov, Rossen Mihaylov, Laith Al-Zubaidi, Zahraa Mosa, Hazem Abdul Mutal, Alexandru Lavric, Hidenori Takahashi, Suphi Taneri, Siamak Yousefi, and Ali Al-Timemy. (2023)
The suitability of color histogram-based features for keratoconus detection from corneal thickness with and neural networks
https://iovs.arvojournals.org/article.aspx?articleid=2790356Hazarbassanov, R.M., Al-Zubaidi, L., Mosa, Z., Mutal, H.A., Lavric, A., Takahashi, H., Taneri, S., Yousefi, S., & Al-Timemy, A. (2023).
). Revision Rates for Different Types of Glenoid Components in Total Shoulder Arthroplasty: 10-year Survivorship Study From the Australian Joint Registry
https://doi.org/10.1016/j.jse.2023.02.088Hollman, F., Jomaa, Mohamad., Page, R., Launay, M., Maharaj, J., Cutbush,K., & Gupta, A. (2023).
Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+TM) to the Laboratory Standard of Static Motion Capture Camera Analysis.
https://pubmed.ncbi.nlm.nih.gov/36617135/Homes R, Clark D, Moridzadeh S, Tosovic D, Van den Hoorn W, Tucker K, Midwinter M. (2023)
Outcomes and survivorship of anatomic total shoulder arthroplasty: current concepts
https://doi.org/10.1016/j.jisako.2023.04.002Italia, K., Jomaa, M., Pareyon, R., Hollman, F., Cutbush, K., & Gupta, A. (2023).
Statistical Shape Modelling For Glenoid Grafting In Reverse Shoulder Arthroplasty
https://doi.org/10.1016/j.jse.2023.02.092Italia, K., Green, N., Plessers, K., Maharaj, J., Pivonka, P., Cutbush,K., & Gupta, A. (2023).
Long-term Outcomes of Anatomical Total Shoulder Replacement at 10 Years: Analysis of the Australian Joint Replacement Registry
https://doi.org/10.1007/978-3-031-33298-2_16Italia, K., Hollman, F., Jomaa, M., Pareyon, R., Page, R., Cutbush, K., Harries, D., and Gupta, A. (2023)
A Physics-Informed Neural Network-based Topology Optimization (PINNTO) framework for structural optimization. Engineering Structures, 278, 115484.
https://doi.org/10.1016/j.engstruct.2022.115484Jeong, H., Bai, J., Batuwatta-Gamage, C. P., Rathnayaka, C., Zhou, Y., and Gu, Y. (2023)
Does forearm referencing using a retroversion guide achieve the targeted retroversion of the humeral component in reverse shoulder arthroplasty?
https://doi.org/10.1016/j.jse.2023.10.038Jomaa, M. N., Branni, M., Ingoe, H., Pareyon, R., Italia, K., Launay, M., Salhi, A., Gilliand, L., Nielsen, J., Maharaj, J., Cutbush, K., & Gupta, A. (2023).
The Impact of Activation Functions on Physics-Informed Neural Networks for Computational Mechanics
https://eprints.qut.edu.au/245234/Kurukulasuriya, P., Rathnayaka Mudiyanselage, C., Batuwatta Gamage, C. P., Jeong, P., Bai, J., & Gu, Y. (2023).
Evaluation Of Mixed Reality Technology in Shoulder Arthroplasty: From Preoperative Planning to Surgical Execution
https://doi.org/10.1016/j.jse.2023.02.086Launay, M., Lane, A., Stalin, K., Gilliland, L., Martinez, D., Maharaj, J., Cutbush, K., & Gupta, A. (2023).
Patient Specific Latarjet - A Biomechanical Analysis of Various Shoulder Instability Fixation Constructs.
https://doi.org/10.1016/j.jse.2023.02.084Launay, M., Gupta, A., Ziegenfuss, B., Green, N., Maharaj, J., Stalin, K., Vijaysegaran, P., Erbulut, D., Pivonka, P. & Cutbush, K. (2023).
Assessment of Musculoskeletal Modelling Procedures in Healthy Shoulders Towards Use for Clinical Applications
https://doi.org/10.5204/thesis.eprints.238186Lavaill, M. (2023)
Latarjet's Muscular Alterations Increase Glenohumeral Joint Stability: A Theoretical Study
https://doi.org/10.1016/j.jbiomech.2023.111639Lavaill, M., Martelli, S., & Cutbush, K., & Gupta, A., & Kerr, G., & Pivonka, P. (2023).
Non-stationary friction-induced vibration with multiple contact points
https://doi.org/10.1007/s11071-023-08321-0Li, Z., Ouyang, H., Gu, Y., Martelli, S., Yang, S., Wei, H., & Wei, R. (2023).
Physics-informed neutral network for friction-involved nonsmooth dynamics problems
https://arxiv.org/abs/2303.02542Li, Z., Bai, J., Ouyang, H., Martelli, S., Tang, M., Wei, H., Liu, P., Han, W.R., and Gu, Y. (2023)
Computed Tomography Scanning Prior To Total Shoulder Arthroplasty: Is It Really An Inevitable Prerequisite? Population-Level Analysis From The Australian Registry
https://doi.org/10.1016/j.jse.2023.02.087Maharaj, J., Hollman, F., Page, R., Launay, M., Cutbush,K., Gupta, A., & Pareyon, R. (2023).
Imaging of the microstructural failure mechanism in the human hip
https://www.jove.com/t/64947/imaging-of-the-microstructural-failure-mechanism-in-the-human-hip#Martelli S., Perilli E. (2023)
Editorial: Bone integrity in patients with osteoporosis: Evaluation of fracture risk and influence of pharmacological treatments and mechanical aspects
https://www.frontiersin.org/articles/10.3389/fbioe.2023.1232257/fullMartínez-Reina, J., Pivonka, P., & Hambli, R. (2023).
A Mechanobiological Bone Remodelling Model Coupling Bone Physiology And Systemic Calcium And Phosphorus Homeostasis
https://www.scipedia.com/wd/images/9/9f/Draft_Sanchez_Pinedo_711640118pap_156.pdfMartínez-Reina, J., Calvo-Gallego, J.L., Gutierrez-Millán, F., and Pivonka, P. (2023)
Effects of PTH glandular and external dosing patterns on bone cell activity using a two-state receptor model-Implications for bone disease progression and treatment
https://doi.org/10.1371/journal.pone.0283544Martonová, D., Lavaill, M., Forwood, M. R., Robling, A., Cooper, D. M. L., Leyendecker, S., & Pivonka, P. (2023).
Assessment of thoracic spinal curvatures in static postures using spatially tracked 3D ultrasound volumes: a proof-of-concept study
https://doi.org/10.1007/s13246-022-01210-7Meszaros-Beller, L., Antico, M., Fontanarosa, D., & Pivonka, P. (2023).
Effect of neglecting passive spinal structures: a quantitative investigation using the forward-dynamics and inverse-dynamics musculoskeletal approach
https://doi.org/10.3389/fphys.2023.1135531Meszaros-Beller, L., Hammer, M., Schmitt, S., & Pivonka, P. (2023).
Effects of geometric individualisation of a human spine model on load sharing: neuro-musculoskeletal simulation reveals significant differences in ligament and muscle contribution.
https://doi.org/10.1007/s10237-022-01673-3Meszaros-Beller, L., Hammer, M., Riede, J.M., Pivonka, P., Little. P., & Schmitt, S. (2023).
Cortical bone adaptation response is region specific, but not peak load dependent: insights from CT image analysis and mechanostat simulations of the mouse tibia loading model
https://doi.org/10.1007/s10237-023-01775-6Miller, C.J., Pickering, E., Martelli, S. et al. (2023)
Geometry and bone mineral density determinants of femoral neck strength changes following exercise.
https://pubmed.ncbi.nlm.nih.gov/36271264/O’Rourke, D., Beck, B.R., Harding, A.T., Watson, S.L., Pivonka, P., and Martelli, S. (2023)
Determining the relationship between tibiofemoral geometry and passive motion with partial least squares regression
https://doi.org/10.1002/jor.25526O'Rourke, D., Bucci, F., & Burton, W., Al-Dirini, R., Taylor, M., & Martelli, S. (2023).
Examining agreement between finite element modelling methodologies in predicting pathological fracture risk in proximal femurs with bone metastases
https://doi.org/10.1016/j.clinbiomech.2023.105931O'Rourke, D., Johnson, L. J., Jagiello, J., & Taylor, M. (2023).
Photo-Cross-Linkable, Injectable, and Highly Adhesive GelMA-Glycol Chitosan Hydrogels for Cartilage Repair
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GelMA-glycol chitosan hydrogels for cartilage regeneration: The role of uniaxial mechanical stimulation in enhancing mechanical, adhesive, and biochemical properties
https://doi.org/10.1063/5.0160472Paul, S., Schrobback, K., Tran PA., Meinert, C., Davern, JW., Weekes, A., Nedunchezhiyan, U., and Klein, T.J. (2023)
Engineering the perfect mattress: The influence of substrate mechanics on deep tissue stresses in supine
https://doi.org/10.1016/j.clinbiomech.2023.106130Rayward, L., Pearcy, M., Kerr, G., Pivonka, P., and Little, P. (2023)
Estimation of human spine orientation with inertial measurement units (IMU) at low sampling rate: How low can we go?
https://doi.org/10.1016/j.jbiomech.2023.111726Riddick, R., Smits, E., Faber, G., Shearwin, C., Hodges, P., and Hoorn, W.v.d. (2023)
Differences in Tridimensional Shoulder Kinematics between Asymptomatic Subjects and Subjects Suffering from Rotator Cuff Tears by Means of Inertial Sensors: A Cross-Sectional Study
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Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner
https://doi.org/10.3390/s23073736Shyaa, M. A., Zainol, Z., Abdullah, R., Anbar, M., Alzubaidi, L., & Santamaría, J. (2023).
Anterior deltoid muscle reflection using a deltopectoral approach is safe and does not influence outcome of reverse shoulder arthroplasty. Journal of shoulder and elbow surgery
https://doi.org/10.1016/j.jse.2023.01.029https://doi.org/10.1016/j.jse.2023.01.029Veen, E.J.D., Smits, E.J., Ker, A., Whitehouse, S.L., Ziegenfuss, B., Pivonka, P., Gupta., A., & Cutbush, K. (2023).
Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study
https://doi.org/10.1016/j.rineng.2023.101295Wang, J., Zietal, R., Arase, A., Couzens, G., Pivonka, P., and Fontanarosa, D. (2023)
Osteoimmunomodulatory Nanoparticles for Bone Regeneration
https://doi.org/10.3390/nano13040692Wen, J., Cai, D., Gao, W., He, R., Li, Y., Zhou, Y., Klein, T., Xiao, L., and Xiao, Y. (2023)
Pose Quality Prediction for Vision Guided Robotic Shoulder Arthroplasty
https://ieeexplore.ieee.org/document/10161123Windsor, M., Peng, J., Gupta, A., Pivonka, P., Milford, M. (2023)
Three-dimensional architecture of the human subscapularis muscle in vivo
https://doi.org/10.1016/j.jbiomech.2023.111854Zhang, Y., Herbert, R.D., Bilston, L., and Bolsterlee, B. (2023)
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
https://doi.org/10.1016/j.eswa.2023.122807Zhao, Z., Alzubaidi, L., Zhang, J., Duan, Y., and Gu., Y. (2023)
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans
10.48550/arXiv.2303.05126Zhu, J., Bolsterlee, B., Chow, B.V.Y., Song, Y., and Meijering, E. (2023)
Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images
https://doi.org/10.1007/978-3-031-43898-1_63Zhu, J., Bolsterlee, B., Chow, B.V.Y., Song, Y., and Meijering, E. (2023)
A biomechanical analysis of double-screw, double-button, and screw-button fixation constructs in patient-specific instrument-guided Latarjet procedure
https://doi.org/10.1016/j.jse.2023.02.117Ziegenfuss, B. L., Launay, M. M., Maharaj, J. C., Green, N. R., Stalin, K. A., Barlow, G., Erbulut, D. U., Whitehouse, S. L., Vijaysegaran, P., Pivonka, P., Cutbush, K., & Gupta, A. (2023).
Generalisable deep Learning framework to overcome catastrophic forgetting
https://doi.org/10.1016/j.iswa.2024.200415Alammar, Z., Alzubaidi, L., Zhang, J., Li, Y., Gupta, A., & Gu, Y. (2024)
A Trustworthy and Explainable Framework for Benchmarking Hybrid Deep Learning Models Based on Chest X-Ray Analysis in CAD Systems
https://doi.org/10.1142/S0219622024500019Albahri, A. S., Jassim, M. M., Alzubaidi, L., Hamid, R. A., Ahmed, M. A., Al-Qaysi, Z. T., Albahri, O.S., Alamoodi, A. H., Alqaysi, M. E., Mohammed, T. J., Kou, G., Alotaibi, F. S., & Sharaf, I. M. (2024)
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks
https://doi.org/10.1016/j.inffus.2023.102208Albahri A. S., Hamid, R. A., Raheem Abdulnabi, R., Albahri, O. S., Alamoodi, A. H., Deveci, M., Pedrycz, W., Alzubaidi, L., Santamaría, J., & Yuantong, Gu. (2024)
Prioritizing complex health levels beyond autism triage using fuzzy multi-criteria decision-making
https://doi.org/10.1007/s40747-024-01432-0Albahri, A. S., Hamid, R. A., Alzubaidi, L., Homod, R. Z., Zidan, K. A., Mubark, H., Shayea, G. G., Albahri, O. S., & Alamoodi A. H. (2024)
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review
https://doi.org/10.3390/s24082461Al-Hamadani, M. N. A., Fadhel, M. A., Alzubaidi, L., Harangi, B. (2024)
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
https://doi.org/10.1016/j.artmed.2024.102935Alzubaidi, L., AL-Dulaimi, K., Salhi, A., Alammar, Z., Fadhel, M. A., Albahri, A. S., Alamoodi, A. H., Albahri, O. S., Hasan, A. F., Bai, J., Gilliland, L., Peng, J., Branni, M., Shuker, T., Cutbush, K., Santamaría, J., Moreira, C., Ouyang, C., Duan, Y., Manoufali, M., Jomaa, M., Gupta, A., Abbosh, A., & Gu, Y. (2024)
MEFF - A Model Ensemble Feature Fusion Approach for Tackling Adversarial Attacks in Medical Imaging
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SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study
https://doi.org/10.1007/s10462-024-10878-0Alzubaidi, L., Fadhel, M. A., Hollman, F., Salhi, A., Santamaria, J., Duan, Y., Gupta, A., Cutbush, K., Abbosh, A., & Gu, Y. (2024)
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
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Physics-guided deep learning framework for computational mechanics
https://eprints.qut.edu.au/247836/Bai, J. (2024)
Comparison of range of motion between 2-year clinical outcomes and predictions of a static scapula preoperative planning software for reverse shoulder arthroplasty
https://doi.org/10.1053/j.sart.2024.05.001Branni, M., Ingoe, H., Salhi, A., Italia, K., Gilliland, L., Launay, M., Pareyon, R., Maharaj, J., Lane, A., Pivonka, P., Cutbush, K., & Gupta, A. (2024)
Assessment of age-dependent sexual dimorphism in paediatric vertebral size and density using a statistical shape and statistical appearance modelling approach
https://doi.org/10.1016/j.bone.2024.117251Castoldi, N. M., O'Rourke, D., Antico, M., Sansalone, V., Gregory, L., & Pivonka, P. (2024)
Modelling and simulation of growth driven by mechanical and non-mechanical stimuli
https://doi.org/10.1016/j.jmps.2024.105769Castoldi, N. M., Pivonka, P., Teresi, L., Sansalone, V. (2024)
Arthroscopic Suprapectoral Biceps Tenodesis Using an Onlay Technique
https://doi.org/10.1016/j.eats.2024.103123Cutbush, K., Stalin, K. A., Ingoe, H., Pareyón, R., Ziegenfuss, B., & Gupta, A. (2024)
Combined Cuff Repair And superior Capsular Reconstruction reinforcement (CRACR) in patients with massive rotator cuff (re)tears. A Minimum 2-year clinical and radiological follow-up.
https://doi.org/10.1016/j.jse.2024.08.048Cutbush, K., Hollman, F., Jomaa, M., Singh, N., Ziegenfuss, B., Vijaysegaran, P., Italia, K., Whitehouse, S. L., Namazie, R. M., & Gupta, A. (2024)
Surface coatings of contact lenses for cell sheet transplantation
https://doi.org/10.1002/app.55458Dereli Can, G., Tunca Atay, M., Egil, A. C., Güney, E., Shemshad, S., Taner, G., Asa, S. C., Ari, F., & Ozaydin Ince, G. (2024)
Comprehensive systematic review of information fusion methods in smart
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Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis
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Real-Time Diabetic Foot Ulcer Classification Based on Deep Learning & Parallel Hardware Computational Tools
https://doi.org/10.1007/s11042-024-18304-xFadhel, Duhaim, Saihood, Sewify, Al-Hamadani, Albahri, Alzubaidi, Gupta, Mirjalili, Gu. (2024).
Corroboration of coupled musculoskeletal model and finite element predictions with in vivo RSA migration of an uncemented acetabular component
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The loading direction dramatically affects the mechanical properties of the mouse
https://doi.org/10.3389/fbioe.2024.1335955Farage-O’Reilly, S. M., Cheong, V. S., Pickering, E., Pivonka, P., Bellantuono, I., Kadirkamanathan, V., & Dall’Ara, E. (2024).
All-Arthroscopic Supraspinatus and Infraspinatus Muscle Advancement Leads to High Healing Rate and Excellent Outcomes in Patients With Massive, Retracted Rotator Cuff Tears, Even in Patients With Pseudoparalysis
https://doi.org/10.1016/j.arthro.2024.03.041Gupta, A., Italia, K., Jomaa, M. N., Ker, A. M., Pareyon, R., Tok, A. E., Maharaj, J., Whitehouse, S. L., & Cutbush, K. (2024)
Arthroscopic Latarjet stabilization, The Shoulder
https://www.taylorfrancis.com/chapters/edit/10.1201/9781003526407-17/arthroscopic-latarjet-stabilization-ashish-gupta-laurent-lafosseGupta, A., & La Fosse, L. (2024)
Medial Scapular Body (MSB) Goutallier Classification – MRI based reliability and validity of evaluation of the Goutallier classification for grading fatty infiltration of the rotator cuff
https://doi.org/10.1016/j.jse.2024.05.013Gupta, A., Hollman, F., Delaney, R., Jomaa, M. N., Ingoe, H., Pareyon, R., Shulman, R. M., Dhupelia, S., Yihe Li, A., Tok, A. E., Samsuya, K. KM., Xu, S., Salhi, A., Alzubaidi, L., Whitehouse, S. L., Pivonka, P., Gu, Y., Maharaj, J., & Cutbush, K. (2024)
Single-stage vs. Two-stage Reconstruction of Glenoid Defects in Revision Shoulder Arthroplasty
https://doi.org/10.1007/978-3-031-45944-3_16Gupta, Italia, Pareyon, Jomaa, Launay, Maharaj, Gilliland, Nielsen, and Seebauer (2024).
Glucocorticoids disrupt longitudinal advance of cortical bone basic multicellular units in the rabbit distal tibia,
https://doi.org/10.1016/j.bone.2024.117171Harrison, K., Loundagin, L., Hiebert, B., Panahifar, A., Zhu, N., Marchiori, D., Arnason, T., Swekla, K., Pivonka, P., & Cooper, D. (2024)
Improved Feature Fusion and Representation for Detecting Keratoconus from Corneal Maps
https://iovs.arvojournals.org/article.aspx?articleid=2800545Hazarbassanov, R. M., Alzubaidi, L., Al-Timemy, A., Arce, C., Fabres Franco, P. H., Alves Dos Santos, L., Mosa, Z., Abdelmotaal, H. M., Lavric, A., Takahashi, H., Taneri, S., Munir, W., & Yousefi, S. (2024)
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
https://arxiv.org/abs/2407.11463He, Z., Ouyang, C., Alzubaidi, L., Barros, A., & Moreira, C. (2024)
Superior Suspensory Complex of the Shoulder Reconstruction for Acute and Chronic ACJ Dislocations: The QUASR 3-Tunnel Technique
https://doi.org/10.1016/j.jseint.2024.09.004Ingoe, H., Maharaj, J., Singh, N., Azhagan Stalin, K., Italia, K., Pareyon, R., Jomaa, M., Cutbush, K. & Gupta, A. (2024)
The Use of Glenoid Structural Allografts for Glenoid Bone Defects in Reverse Shoulder Arthroplasty
https://doi.org/10.3390/jcm13072008Ingoe, H., Italia, K., Gilliland, L., Kang, H.W., Karel, M., Maharaj, J., Cutbush, K., Gupta, A. (2024)
An advanced physics-informed neural network-based framework for nonlinear and complex topology optimization
https://doi.org/10.1016/j.engstruct.2024.119194Jeong, H., Batuwatta-Gamage, C., Bai, J., Rathnayaka, C., Zhou, Y., & Gu, Y. (2024)
Does forearm referencing using a retroversion guide achieve the targeted retroversion of the humeral component in reverse shoulder arthroplasty?
https://doi.org/10.1016/j.jse.2023.10.038Jomaa, M.N., Branni, M., Ingoe, H., Pareyon, R., Italia, K., Launay, M., Salhi, A., Gilliand, L., Nielson, J., maharaj, J., Cutbush, K., & Gupta, A. (2024)
Stemless Anatomic and Reverse Shoulder Arthroplasty in Patients under 55 years of age with Primary Glenohumeral Osteoarthritis: An analysis of the Australian Orthopaedic Association National Joint Replacement Registry at five years
https://doi.org/10.1016/j.jse.2024.07.032Jomaa, M. N., Ingoe, H., Hollman, F., Pareyón, R., Whitehouse, S. L., Du, P., Gill, D. R., Maharaj, J., Gupta, A., & Cutbush, K. (2024)
Comparative Analysis of Local Bone Adaptation in Response to Mechanical Loading and Parathyroid Hormone Treatment Across Cortical Compartment in a Mouse Tibia Model
https://hal.science/hal-04738040v1Lagzouli, A., Sansalone, V., Cooper, D. M. L., Othmani, A., & Pivonka, P. (2024)
DBAHNET: DUAL-BRANCH ATTENTION-BASED HYBRID NETWORK FOR HIGH-RESOLUTION 3D MICRO-CT BONE SCAN SEGMENTATION
https://www.researchgate.net/publication/378332777_DBAHNET_DUAL-BRANCH_ATTENTION-BASED_HYBRID_NETWORK_FOR_HIGH-RESOLUTION_3D_MICRO-CT_BONE_SCAN_SEGMENTATIONLagzouli, Amine & Pivonka, Peter & Cooper, David & Sansalone, Vittorio & Othmani, Alice. (2024).
Robust and generalized deep learning-based approach for mouse bone segmentation from 3D high-resolution micro-CT imaging data
https://doi.org/10.21203/rs.3.rs-4864927/v1Lagzouli, A., Pivonka, P., Cooper, D. M. L., Sansalone, V., & Othmani, A. (2024)
Benchmark and validation of state-of-the-art muscle recruitment strategies in shoulder modelling
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Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
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Time-elapsed microstructural imaging of biomechanical failure in reverse shoulder implants
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Assessment of mechanical variables best describing bone remodelling responses based on their correlation with bone density
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Cortical thickness adaptation to combined mechanical loading and parathyroid hormone treatments is site specific and synergistic in the mouse tibia model
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Achieving maximal voluntary contraction of paraspinal muscles requires two tasks: Insight from an EMG study of females with and without adolescent idiopathic scoliosis
https://doi.org/10.1016/j.jbiomech.2024.112251Ng, P.T.T., Duncombe, P., van den Hoorn, W., Claus, A., Izatt, M.T., Pivonka, P., Labrom, R.D., &Tucker, K. (2024).
The Hybrid Humerus Reverse Shoulder Arthroplasty: A prospective study of bone grafting and metaphyseal fixation with undersized stem in the assessment of proximal humeral stress shielding and associated clinical outcome
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Advances in mechanobiological pharmacokinetic-pharmacodynamic models of osteoporosis treatment – Pathways to optimise and exploit existing therapies,
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An in-silico approach to elucidate the pathways leading to primary osteoporosis: age-related vs. postmenopausal
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Optimisation of romosozumab plus denosumab sequential treatments against postmenopausal osteoporosis. Insights from in silico simulations
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Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification
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Surgical Management of Periprosthetic Scapular Spine and Acromion Fractures
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3D Ultrasound Mosaic of the Whole Shoulder: A Feasibility Study
https://doi.org/10.3390/app14052152Sewify A, Antico M, Steffens M, Roots J, Gupta A, Cutbush K, Pivonka P, Fontanarosa D. (2024).
Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems
https://doi.org/10.1016/j.engappai.2024.109143Shyaa, M. A., Ibrahim, N. F., Zainol, Z., Abdullah, R., Anbar, M., & Alzubaidi, L. (2024).
A computational two-scale approach to cancellous bone remodelling
https://doi.org/10.1186/s40323-024-00267-1Steinmann, P., Schmidt, I., Pivonka, P., & Papastavrou, A. (2024).
Comparison of Shoulder Range of Motion Quantified with Mobile Phone Video-Based Skeletal Tracking and 3D Motion Capture—Preliminary Study
https://doi.org/10.3390/s24020534van den Hoorn W, Lavaill M, Cutbush K, Gupta A, Kerr G. (2024).
Forward Prediction of Target Localization Failure Through Pose Estimation Artifact Modelling
10.1109/LRA.2024.3382528Windsor, M., Fontan, A., Pivonka, P., & Milford, M. J. (2024).
Three- dimensional architecture and moment arms of human rotator cuff muscles in vivo: Interindividual, intermuscular, and intramuscular variations
https://DOI: 10.1111/joa.14050Zhang, Y., Bilston, L., Herbert, R.D., & Bolsterlee, B. (2024).
Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging
https://arxiv.org/abs/2407.06566Zhao, Z., Alzubaidi, L., Zhang, J., Duan, Y., Naseem, U., & Gu, Y. (2024).
The Clinical Course and Outcomes Following Arthroscopic Frozen Shoulder 360° Release
https://doi.org/10.1016/j.jseint.2024.07.006Ziegenfuss, B., Italia, K., Azhagan Stalin, K., Whitehouse, S., Gupta, A., & Cutbush, K. (2024).
