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Mattia Perrone

Showing results (1-10 of 12) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
A CNN Autoencoder for Learning Latent Disc Geometry from Segmented Lumbar Spine MRIMattia Perrone, D'Mar Moore, Daisuke Ukeba, et al.
Annals of Biomedical Engineering|September 22, 2025
A CNN Autoencoder for Learning Latent Disc Geometry from Segmented Lumbar Spine MRIMattia Perrone, D'Mar M Moore, Daisuke Ukeba, et al.
Annals of Joint|February 21, 2025
Determining the safety, feasibility, and effects of anodal transcranial direct current stimulation on corticospinal excitability and quadriceps performance after anterior cruciate ligament reconstruction: a randomized crossover designRyan Zarzycki, Anne Leung, Rebekah Abraham, et al.
Journal of Chemical and Engineering Data|December 20, 2023
Lessons Learned from Multiobjective Automatic Optimizations of Classical Three-Site Rigid Water Models Using Microscopic and Macroscopic Target Experimental ObservablesMattia Perrone, Riccardo Capelli, Charly Empereur-Mot, 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|November 30, 2023
Hip joint contact forces are lower in people with femoroacetabular impingement syndrome during squat tasksMattia Perrone, Martina Guidetti, Manuela Galli, et al.
The Journal of Chemical Physics|January 16, 2022
Automatic multi-objective optimization of coarse-grained lipid force fields using SwarmCGCharly Empereur-Mot, Riccardo Capelli, Mattia Perrone, 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.
PNAS Nexus|February 19, 2025
Classification and spatiotemporal correlation of dominant fluctuations in complex dynamical systemsCristina Caruso, Martina Crippa, Annalisa Cardellini, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
A CNN Autoencoder for Learning Latent Disc Geometry from Segmented Lumbar Spine MRIMattia Perrone, D'Mar Moore, Daisuke Ukeba, et al.
Annals of Biomedical Engineering|September 22, 2025
A CNN Autoencoder for Learning Latent Disc Geometry from Segmented Lumbar Spine MRIMattia Perrone, D'Mar M Moore, Daisuke Ukeba, et al.
Annals of Joint|February 21, 2025
Determining the safety, feasibility, and effects of anodal transcranial direct current stimulation on corticospinal excitability and quadriceps performance after anterior cruciate ligament reconstruction: a randomized crossover designRyan Zarzycki, Anne Leung, Rebekah Abraham, et al.
Journal of Chemical and Engineering Data|December 20, 2023
Lessons Learned from Multiobjective Automatic Optimizations of Classical Three-Site Rigid Water Models Using Microscopic and Macroscopic Target Experimental ObservablesMattia Perrone, Riccardo Capelli, Charly Empereur-Mot, 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|November 30, 2023
Hip joint contact forces are lower in people with femoroacetabular impingement syndrome during squat tasksMattia Perrone, Martina Guidetti, Manuela Galli, et al.
The Journal of Chemical Physics|January 16, 2022
Automatic multi-objective optimization of coarse-grained lipid force fields using SwarmCGCharly Empereur-Mot, Riccardo Capelli, Mattia Perrone, 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.
PNAS Nexus|February 19, 2025
Classification and spatiotemporal correlation of dominant fluctuations in complex dynamical systemsCristina Caruso, Martina Crippa, Annalisa Cardellini, et al.
Pageof 2