publicationdocuments

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)

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.2020.09.031

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)

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)

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)

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)

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)

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)

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)

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)

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.2022.114740

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)

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)

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 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)

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

Chester, R. (2022, December 1)

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

Cranenburgh, 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)

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)

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).

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)

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).

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)

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)

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).

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)

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)

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

QUT 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-Greenslopes

Ramsay Health Care. (2022, August 2)

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)

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)

A Concise Review on Deep Learning for Musculoskeletal X-ray Images
https://doi.org/10.1109/DICTA56598.2022.10034618

Alammar, 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/2072-6694/15/15/4007

Alammar, 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/s23041854

Alamoodi, 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/10.1155/2023/7741735

Albahri, 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).

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.2023.102208

Albahri, A.S., Hamid, R.A., Abdulnabi, A.R., Albahri, O.S., Alamoodi, A.H., Deveci, M., Pedrycz, W., Alzubaidi, L., Santamaría, J & & Gu, Y. (2023)

One step surgical scene restoration for robot assisted minimally invasive surgery.
https://doi.org/10.1038/s41598-022-26647-4

Ali, 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/diagnostics13101689

Al-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/s40537-023-00727-2

Alzubaidi, 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/10.1155/2023/4459198

Alzubaidi, 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.2023.107627

Alzubaidi, 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/EMBC40787.2023.10340309

Alzubaidi, 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/life13030691

Awad, 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/S0219876223500135

Bai 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_PDEs

Bai, 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/v1

Castoldi, N., Pickering, E., & Sansalone, V., Cooper, D., and Pivonka, P. (2023)

Human lower leg muscles grow asynchronously
https://doi.org/10.1111/joa.13967

Chow, 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.2023.116864

Cooper, 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.2023.107351

Fallahnezhad, 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.2023.05.007

Franceschi, 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.2023.01.012

Gilliland, 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.2023.2.029

Gupta 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=2791248

Hazarbassanov, 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=2790356

Hazarbassanov, 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.2023.02.088

Hollman, 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.2023.04.002

Italia, 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.2023.02.092

Italia, 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_16

Italia, 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.2022.115484

Jeong, 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.2023.10.038

Jomaa, 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.2023.02.086

Launay, 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.2023.02.084

Launay, 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.238186

Lavaill, M. (2023)

Latarjet's Muscular Alterations Increase Glenohumeral Joint Stability: A Theoretical Study
https://doi.org/10.1016/j.jbiomech.2023.111639

Lavaill, 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/s11071-023-08321-0

Li, 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/2303.02542

Li, 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.2023.02.087

Maharaj, 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/full

Martínez-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.pdf

Martínez-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.0283544

Martonová, 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/s13246-022-01210-7

Meszaros-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.2023.1135531

Meszaros-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/s10237-022-01673-3

Meszaros-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/s10237-023-01775-6

Miller, 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.25526

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Examining agreement between finite element modelling methodologies in predicting pathological fracture risk in proximal femurs with bone metastases
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GelMA-glycol chitosan hydrogels for cartilage regeneration: The role of uniaxial mechanical stimulation in enhancing mechanical, adhesive, and biochemical properties
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Engineering the perfect mattress: The influence of substrate mechanics on deep tissue stresses in supine
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Estimation of human spine orientation with inertial measurement units (IMU) at low sampling rate: How low can we go?
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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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Method for manufacture and cryopreservation of cartilage microtissues
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Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner
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Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study
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Highly compliant biomimetic scaffolds for small diameter tissue engineered vascular grafts (TEVGs) produced via melt electrowriting (MEW)
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Osteoimmunomodulatory Nanoparticles for Bone Regeneration
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Pose Quality Prediction for Vision Guided Robotic Shoulder Arthroplasty
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Three-dimensional architecture of the human subscapularis muscle in vivo
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A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
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Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans
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Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images
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A biomechanical analysis of double-screw, double-button, and screw-button fixation constructs in patient-specific instrument-guided Latarjet procedure
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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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