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CORDIS - EU research results
CORDIS

Novel algorithm for treatment planning of patients with osteoarthritis

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Utilizing Atlas-Based Modeling to Predict Knee Joint Cartilage Degeneration: Data from the Osteoarthritis Initiative (opens in new window)

Author(s): Mika E. Mononen, Mimmi K. Liukkonen, Rami K. Korhonen
Published in: Annals of Biomedical Engineering, Issue 47/3, 2019, Page(s) 813-825, ISSN 0090-6964
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10439-018-02184-y

The effect of constitutive representations and structural constituents of ligaments on knee joint mechanics (opens in new window)

Author(s): Gustavo A. Orozco, Petri Tanska, Mika E. Mononen, Kimmo S. Halonen, Rami K. Korhonen
Published in: Scientific Reports, Issue 8/1, 2018, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-018-20739-w

A novel mechanobiological model can predict how physiologically relevant dynamic loading causes proteoglycan loss in mechanically injured articular cartilage (opens in new window)

Author(s): Gustavo A. Orozco, Petri Tanska, Cristina Florea, Alan J. Grodzinsky, Rami K. Korhonen
Published in: Scientific Reports, Issue 8/1, 2018, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-018-33759-3

Health-related quality of life in relation to symptomatic and radiographic definitions of knee osteoarthritis: data from Osteoarthritis Initiative (OAI) 4-year follow-up study (opens in new window)

Author(s): Soili Törmälehto, Mika E. Mononen, Emma Aarnio, Jari P. A. Arokoski, Rami K. Korhonen, Janne Martikainen
Published in: Health and Quality of Life Outcomes, Issue 16/1, 2018, ISSN 1477-7525
Publisher: BioMed Central
DOI: 10.1186/s12955-018-0979-7

Comparison between kinetic and kinetic-kinematic driven knee joint finite element models (opens in new window)

Author(s): Paul O. Bolcos, Mika E. Mononen, Ali Mohammadi, Mohammadhossein Ebrahimi, Matthew S. Tanaka, Michael A. Samaan, Richard B. Souza, Xiaojuan Li, Juha-Sampo Suomalainen, Jukka S. Jurvelin, Juha Töyräs, Rami K. Korhonen
Published in: Scientific Reports, Issue 8/1, 2018, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-018-35628-5

Eight-year trajectories of changes in health-related quality of life in knee osteoarthritis: Data from the Osteoarthritis Initiative (OAI) (opens in new window)

Author(s): Soili Törmälehto, Emma Aarnio, Mika E. Mononen, Jari P. A. Arokoski, Rami K. Korhonen, Janne A. Martikainen
Published in: PLOS ONE, Issue 14/7, 2019, Page(s) e0219902, ISSN 1932-6203
Publisher: Public Library of Science
DOI: 10.1371/journal.pone.0219902

Clinical Contrast-Enhanced Computed Tomography with Semiautomatic Segmentation Provides Feasible Input for Computational Models of the Knee Joint

Author(s): Katariina A.H. Myller, Rami K. Korhonen, Juha Töyräs, Petri Tanska, Sami P. Väänänen, Jukka S. Jurvelin, Simo Saarakkala, Mika E. Mononen
Published in: Journal of Biomechanical Engineering, Issue in press, 2019, ISSN 0148-0731
Publisher: ASME

Identification of locations susceptible to osteoarthritis in patients with anterior cruciate ligament reconstruction: Combining knee joint computational modelling with follow-up T1ρ and T2 imaging (opens in new window)

Author(s): Paul O. Bolcos, Mika E. Mononen, Matthew S. Tanaka, Mingrui Yang, Juha-Sampo Suomalainen, Mikko J. Nissi, Juha Töyräs, Benjamin Ma, Xiaojuan Li, Rami K. Korhonen
Published in: Clinical Biomechanics, Issue in press, 2019, ISSN 0268-0033
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.clinbiomech.2019.08.004

Maximum shear strain-based algorithm can predict proteoglycan loss in damaged articular cartilage (opens in new window)

Author(s): Atte S. A. Eskelinen, Mika E. Mononen, Mikko S. Venäläinen, Rami K. Korhonen, Petri Tanska
Published in: Biomechanics and Modeling in Mechanobiology, Issue 18/3, 2019, Page(s) 753-778, ISSN 1617-7959
Publisher: Springer Verlag
DOI: 10.1007/s10237-018-01113-1

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