Bridging Diverse Physics and Scales of Knee Cartilage With Efficient and Augmented Graph Learning
Author:
Affiliation:
1. Faculty of Engineering, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
2. Institute of Biomechanics, Graz University of Technology, Graz, Austria
Funder
Open Access Publishing Fund of the Free University of Bozen-Bolzano, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10562288.pdf?arnumber=10562288
Reference85 articles.
1. Biomechanics of Articular Cartilage and Determination of Material Properties
2. Machine Learning-Based Automatic Classification of Knee Osteoarthritis Severity Using Gait Data and Radiographic Images
3. Development of a Theoretical Microwave Model to Predict the Dielectric Properties of Articular Cartilage Tissues
4. Large-Scale Finite Element Modeling of Pre-stress in Articular Cartilage
5. Anatomy and biomechanics of the knee
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