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Steven P Mell

Showing results (1-10 of 18) with videos related to

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Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society|May 28, 2020
Sensitivity of total knee replacement wear to variability in motion and load input: A parametric finite element analysis studySteven P Mell, Markus A Wimmer, Hannah J Lundberg
Journal of Biomechanics|April 4, 2019
The choice of the femoral center of rotation affects material loss in total knee replacement wear testing - A parametric finite element study of ISO 14243-3Steven P Mell, Markus A Wimmer, Hannah J Lundberg
The Journal of Bone and Joint Surgery. American Volume|June 20, 2024
Virtual Clinical Trials: Implications of Computer Simulations and Artificial Intelligence for Musculoskeletal ResearchSteven P Mell, Alexander L Hornung, Catherine Yuh, et al.
Arthroscopy Techniques|September 12, 2025
Hip Joint Segmentation From Magnetic Resonance Imaging to Generate 3-Dimensional Models to Assess Femoroacetabular Impingement SyndromeJesus E Cervantes, Steven P Mell, Shane J Nho, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|April 17, 2018
Finite element evaluation of the newest ISO testing standard for polyethylene total knee replacement linersSteven P Mell, Spencer Fullam, Markus A Wimmer, et al.
Journal of the Mechanical Behavior of Biomedical Materials|November 5, 2021
Optimal surgical component alignment minimizes TKR wear - An in silico study with nine alignment parametersSteven P Mell, Markus A Wimmer, Joshua J Jacobs, et al.
Computer Methods in Biomechanics and Biomedical Engineering|February 8, 2024
Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjectsMattia Perrone, Steven P Mell, John Martin, et al.
Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society|April 30, 2022
Interaction of surface topography and taper mismatch on head-stem modular junction contact mechanics during assembly in modern total hip replacementJonathan A Gustafson, Steven P Mell, Brett R Levine, et al.
Annals of Biomedical Engineering|September 27, 2025
Gait-to-Contact (G2C): A Novel Deep Learning Framework to Predict Total Knee Replacement Wear from Gait PatternsMattia Perrone, Scott Simmons, Philip Malloy, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|February 4, 2025
Synthetic data generation in motion analysis: A generative deep learning frameworkMattia Perrone, Steven P Mell, John T Martin, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society|May 28, 2020
Sensitivity of total knee replacement wear to variability in motion and load input: A parametric finite element analysis studySteven P Mell, Markus A Wimmer, Hannah J Lundberg
Journal of Biomechanics|April 4, 2019
The choice of the femoral center of rotation affects material loss in total knee replacement wear testing - A parametric finite element study of ISO 14243-3Steven P Mell, Markus A Wimmer, Hannah J Lundberg
The Journal of Bone and Joint Surgery. American Volume|June 20, 2024
Virtual Clinical Trials: Implications of Computer Simulations and Artificial Intelligence for Musculoskeletal ResearchSteven P Mell, Alexander L Hornung, Catherine Yuh, et al.
Arthroscopy Techniques|September 12, 2025
Hip Joint Segmentation From Magnetic Resonance Imaging to Generate 3-Dimensional Models to Assess Femoroacetabular Impingement SyndromeJesus E Cervantes, Steven P Mell, Shane J Nho, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|April 17, 2018
Finite element evaluation of the newest ISO testing standard for polyethylene total knee replacement linersSteven P Mell, Spencer Fullam, Markus A Wimmer, et al.
Journal of the Mechanical Behavior of Biomedical Materials|November 5, 2021
Optimal surgical component alignment minimizes TKR wear - An in silico study with nine alignment parametersSteven P Mell, Markus A Wimmer, Joshua J Jacobs, et al.
Computer Methods in Biomechanics and Biomedical Engineering|February 8, 2024
Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjectsMattia Perrone, Steven P Mell, John Martin, et al.
Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society|April 30, 2022
Interaction of surface topography and taper mismatch on head-stem modular junction contact mechanics during assembly in modern total hip replacementJonathan A Gustafson, Steven P Mell, Brett R Levine, et al.
Annals of Biomedical Engineering|September 27, 2025
Gait-to-Contact (G2C): A Novel Deep Learning Framework to Predict Total Knee Replacement Wear from Gait PatternsMattia Perrone, Scott Simmons, Philip Malloy, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|February 4, 2025
Synthetic data generation in motion analysis: A generative deep learning frameworkMattia Perrone, Steven P Mell, John T Martin, et al.
Pageof 2