Personalized Knee Geometry Modeling Based on Multi-Atlas Segmentation and Mesh Refinement-Reference-Cited by-同舟云学术

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Personalized Knee Geometry Modeling Based on Multi-Atlas Segmentation and Mesh Refinement

Published:2020 Issue: Volume:8 Page:56766-56781
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nikolopoulos Filippos P.^ORCID,Zacharaki Evangelia I.^ORCID,Stanev Dimitar^ORCID,Moustakas Konstantinos

Funder

EC Horizon 2020 project OActive: Advanced personalized, multi-scale computer models preventing osteoarthritis

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09042322.pdf?arnumber=9042322

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2024-04-05

2. Can lateral tenodesis improve the rotational stability of the ACL reconstruction? A finite element analysis;PLOS ONE;2024-02-27

3. Bridging Diverse Physics and Scales of Knee Cartilage With Efficient and Augmented Graph Learning;IEEE Access;2024

4. An Automated and Robust Tool for Musculoskeletal and Finite Element Modeling of the Knee Joint;2023-10-18

5. Can lateral tenodesis improve the rotational stability of the ACL reconstruction? A finite element analysis;2023-10-10

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