Article (Scientific journals)
Optimizing finite element predictions of local subchondral bone structural stiffness using neural network-derived density-modulus relationships for proximal tibial subchondral cortical and trabecular bone
Nazemi, Sayed Majid; Amini, Morteza; Kontulainen, Saija A. et al.
2017In Clinical Biomechanics, 41, p. 1 - 8
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Keywords :
Finite element modeling; Density-modulus relationships for bone; Subchondral bone; Proximal tibia; Neural network
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Nazemi, Sayed Majid ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Génie biomécanique
Amini, Morteza
Kontulainen, Saija A.
Milner, Jaques S.
Holdsworth, David W.
Masri, Bassam A.
Wilson, David R.
Johnston, James D.
Language :
English
Title :
Optimizing finite element predictions of local subchondral bone structural stiffness using neural network-derived density-modulus relationships for proximal tibial subchondral cortical and trabecular bone
Publication date :
2017
Journal title :
Clinical Biomechanics
ISSN :
0268-0033
Publisher :
Elsevier, United Kingdom
Volume :
41
Pages :
1 - 8
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 14 August 2018

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