Implementing Machine Learning approaches for accelerated prediction of bone strain in acetabulum of a hip joint-Reference-Cited by-同舟云学术

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Implementing Machine Learning approaches for accelerated prediction of bone strain in acetabulum of a hip joint

Published:2024-05 Issue: Volume:153 Page:106495
ISSN:1751-6161
Container-title:Journal of the Mechanical Behavior of Biomedical Materials
language:en
Short-container-title:Journal of the Mechanical Behavior of Biomedical Materials

Author:

Nimmal Haribabu Gowtham^ORCID,Basu Bikramjit^ORCID

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Science and Engineering Research Board

Centralized Otolaryngology Research Efforts

Publisher

Elsevier BV

Reference88 articles.

1. Clinical evaluation and surgical options in acetabular reconstruction: a literature review;Ahmad;J. Orthop.,2015

2. Effects of age-related differences in femoral loading and bone mineral density on strains in the proximal femur during controlled walking;Anderson;J. Appl. Biomech.,2013

3. Subject-specific finite element model of the pelvis: development, validation and sensitivity studies;Anderson;J. Biomech. Eng.,2005

4. Initial stability of a cementless acetabular cup design: experimental investigation on the effect of adding fins to the rim of the cup;Baleani;Artif. Organs,2001

5. Acetabular osteolysis in total hip arthroplasty: prevention and treatment;Berman;Orthopedics,1994

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