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Knee-Loading Predictions with Neural Networks Improve Finite Element Modeling Classifications of Knee Osteoarthritis: Data from the Osteoarthritis Initiative
Paz, Alexander; Lavikainen, Jere; Turunen, Mikael J; García, José J; Korhonen, Rami K; Mononen, Mika E. 2024. Annals of biomedical engineering. [Published: 06 June 2024]: 1-15 -
Novel methodologies for generation and simulation of knee joint finite element models : toward a template-based and neural network-assisted model for rapid prediction of knee osteoarthritis
Paz Carvajal, Alexander. 2024. Publications of the University of Eastern Finland. Dissertations in Science, Forestry and Technology -
Atlas-based finite element analyses with simpler constitutive models predict personalized progression of knee osteoarthritis: data from the osteoarthritis initiative
Mononen, Mika E; Paz, Alexander; Liukkonen, Mimmi K; Turunen, Mikael J. 2023. Scientific reports. 13: . 8888 -
Towards a Transferable Modeling Method of the Knee to Distinguish Between Future Healthy Joints from Osteoarthritic Joints: Data from the Osteoarthritis Initiative
Paz, Alexander; García, José J; Korhonen, Rami K; Mononen, Mika E. 2023. Annals of biomedical engineering. 51: 2192-2203 -
A novel knee joint model in FEBio with inhomogeneous fibril-reinforced biphasic cartilage simulating tissue mechanical responses during gait: data from the osteoarthritis initiative
Paz, Alexander; Orozco, Gustavo A; Tanska, Petri; García, José J; Korhonen, Rami K. Mononen, Mika E. 2022. Computer methods in biomechanics and biomedical engineering. [Published online: 05 Sep 2022]: 1-15 -
Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review
Paz, Alexander; Orozco, Gustavo; Korhonen, Rami; García, José Jaime; Mononen, Mika. 2021. Applied sciences. 11: 24