DeepKOA: a deep-learning model for predicting progression in knee osteoarthritis using multimodal magnetic resonance images from the osteoarthritis initiative-Reference-Cited by-同舟云学术

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DeepKOA: a deep-learning model for predicting progression in knee osteoarthritis using multimodal magnetic resonance images from the osteoarthritis initiative

Published:2023-08 Issue:8 Volume:13 Page:4852-4866
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Hu Jiaping,Zheng Chuanyang,Yu Qingling,Zhong Lijie,Yu Keyan,Chen Yanjun,Wang Zhao,Zhang Bin,Dou Qi,Zhang Xiaodong

Publisher

AME Publishing Company

Subject

Radiology, Nuclear Medicine and imaging

Link

https://qims.amegroups.com/article/download/114391/pdf

Cited by 7 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. Knowledge mapping and bibliometric analysis of medical knee magnetic resonance imaging for knee osteoarthritis (2004–2023);Frontiers in Surgery;2024-09-11

2. Associating Knee Osteoarthritis Progression with Temporal‐Regional Graph Convolutional Network Analysis on MR Images;Journal of Magnetic Resonance Imaging;2024-04-30

3. Obesity differentially effects the somatosensory cortex and striatum of TgF344-AD rats;Scientific Reports;2024-03-27

4. Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images;Scientific Reports;2024-03-27

5. Deep Learning based Knee OsteoArthritis Grade Classification: A Review;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

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