Automated 2D and 3D finite element overclosure adjustment and mesh morphing using generalized regression neural networks is a research paper published in Medical Engineering & Physics (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.
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NIAMS NIH HHS
Grant: U01 AR072989
NIH National Institute of Arthritis and Musculoskeletal and Skin Diseases
National Institute of Biomedical Imaging and Bioengineering
the National Institute of Child Health and Human Development
FWCI
2.09
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Rapid Personalized Computational Modeling of the Wrist - Data
Rapid Personalized Computational Modeling of the Wrist - Data
Rapid Personalized Computational Modeling of the Wrist - Software
Rapid Personalized Computational Modeling of the Wrist - Software
Rapid Personalized Computational Modeling of the Wrist - Models
Rapid Personalized Computational Modeling of the Wrist - Models
Rapid Personalized Computational Modeling of the Wrist - Models
Rapid Personalized Computational Modeling of the Wrist - Data
Automated 2D and 3D Finite Element Overclosure Adjustment and Mesh Morphing Using Generalized Regression Neural Networks