Automated 2D and 3D finite element overclosure adjustment and mesh morphing using generalized regression neural networks-Reference-Cited by-同舟云学术

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Automated 2D and 3D finite element overclosure adjustment and mesh morphing using generalized regression neural networks

Published:2024-04 Issue: Volume:126 Page:104136
ISSN:1350-4533
Container-title:Medical Engineering & Physics
language:en
Short-container-title:Medical Engineering & Physics

Author:

Andreassen Thor E.^ORCID,Hume Donald R.,Hamilton Landon D.,Higinbotham Sean E.,Shelburne Kevin B.

Funder

Eunice Kennedy Shriver National Institute of Child Health and Human Development

National Institute of Child Health and Human Development

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Institute of Biomedical Imaging and Bioengineering

Publisher

Elsevier BV

Reference64 articles.

1. Assessment of knee kinematics in older adults using high-speed stereo radiography;Kefala;Med Sci Sports Exerc,2017

2. Knee pivot location in asymptomatic older adults;Hamilton;J Biomech,2023

3. Supine leg press as an alternative to standing lunge in high-speed stereo radiography;Hamilton;J Biomech,2022

4. Development of subject-specific and statistical shape models of the knee using an efficient segmentation and mesh-morphing approach;Baldwin;Comput Methods Programs Biomed,2010

5. ShapeWorks: particle-based shape correspondence and visualization software;Cates,2017

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