OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Adversarial Evolving Neural Network for Longitudinal Knee Osteoarthritis Prediction
Kun Hu, Wenhua Wu, Wei Li, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 11, pp. 3207-3217
Open Access | Times Cited: 14
Kun Hu, Wenhua Wu, Wei Li, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 11, pp. 3207-3217
Open Access | Times Cited: 14
Showing 14 citing articles:
SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization
Xiang Li, Songcen Lv, Minglei Li, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 8, pp. 2274-2285
Closed Access | Times Cited: 33
Xiang Li, Songcen Lv, Minglei Li, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 8, pp. 2274-2285
Closed Access | Times Cited: 33
The value of deep learning-based X-ray techniques in detecting and classifying K-L grades of knee osteoarthritis: a systematic review and meta-analysis
Haoming Zhao, Liang Ou, Ziming Zhang, et al.
European Radiology (2024)
Open Access | Times Cited: 7
Haoming Zhao, Liang Ou, Ziming Zhang, et al.
European Radiology (2024)
Open Access | Times Cited: 7
MedKnee: A New Deep Learning-Based Software for Automated Prediction of Radiographic Knee Osteoarthritis
Said Touahema, Imane Zaimi, Nabila Zrira, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 993-993
Open Access | Times Cited: 4
Said Touahema, Imane Zaimi, Nabila Zrira, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 993-993
Open Access | Times Cited: 4
LMSST-GCN: Longitudinal MRI sub-structural texture guided graph convolution network for improved progression prediction of knee osteoarthritis
Wenbing Lv, Junyi Peng, Jiaping Hu, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108600-108600
Closed Access
Wenbing Lv, Junyi Peng, Jiaping Hu, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108600-108600
Closed Access
Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022
Çiğdem Özkan, Cem M. Deniz
Osteoarthritis Imaging (2023) Vol. 3, Iss. 3, pp. 100161-100161
Open Access | Times Cited: 11
Çiğdem Özkan, Cem M. Deniz
Osteoarthritis Imaging (2023) Vol. 3, Iss. 3, pp. 100161-100161
Open Access | Times Cited: 11
Understanding the role of machine learning in predicting progression of osteoarthritis
Simone Castagno, Benjamin Gompels, Estelle Strangmark, et al.
The Bone & Joint Journal (2024) Vol. 106-B, Iss. 11, pp. 1216-1222
Open Access | Times Cited: 3
Simone Castagno, Benjamin Gompels, Estelle Strangmark, et al.
The Bone & Joint Journal (2024) Vol. 106-B, Iss. 11, pp. 1216-1222
Open Access | Times Cited: 3
Multi-step Transfer Learning in Natural Language Processing for the Health Domain
Thokozile Manaka, Terence L. van Zyl, D. Kar, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 2
Thokozile Manaka, Terence L. van Zyl, D. Kar, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 2
How Can Artificial Intelligence Identify Knee Osteoarthritis from Radiographic Images with Satisfactory Accuracy?: A Literature Review for 2018–2024
Said Touahema, Imane Zaimi, Nabila Zrira, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6333-6333
Open Access | Times Cited: 2
Said Touahema, Imane Zaimi, Nabila Zrira, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6333-6333
Open Access | Times Cited: 2
Expanding from unilateral to bilateral: A robust deep learning-based approach for predicting radiographic osteoarthritis progression
Rui Yin, Hao Chen, Tianqi Tao, et al.
Osteoarthritis and Cartilage (2023) Vol. 32, Iss. 3, pp. 338-347
Closed Access | Times Cited: 5
Rui Yin, Hao Chen, Tianqi Tao, et al.
Osteoarthritis and Cartilage (2023) Vol. 32, Iss. 3, pp. 338-347
Closed Access | Times Cited: 5
A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays
Tayyaba Tariq, Zobia Suhail, Zubair Nawaz
Biomedical Engineering Letters (2024) Vol. 15, Iss. 1, pp. 1-35
Closed Access | Times Cited: 1
Tayyaba Tariq, Zobia Suhail, Zubair Nawaz
Biomedical Engineering Letters (2024) Vol. 15, Iss. 1, pp. 1-35
Closed Access | Times Cited: 1
Deep Learning-Based Meniscus Tear Detection From Accelerated MRI
Fatma Harman, M. Alper Selver, Mustafa Barış, et al.
IEEE Access (2023) Vol. 11, pp. 144349-144363
Open Access | Times Cited: 2
Fatma Harman, M. Alper Selver, Mustafa Barış, et al.
IEEE Access (2023) Vol. 11, pp. 144349-144363
Open Access | Times Cited: 2
Knee Osteoarthritis SCAENet: Adaptive Knee Osteoarthritis Severity Assessment Using Spatial Separable Convolution with Attention-Based Ensemble Networks with Hybrid Optimization Strategy
Sriramulu Devarapaga, Rajesh Thumma
Deleted Journal (2024)
Closed Access
Sriramulu Devarapaga, Rajesh Thumma
Deleted Journal (2024)
Closed Access
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging
Wenhua Wu, Kun Hu, Wenxi Yue, et al.
Lecture notes in computer science (2024), pp. 303-319
Closed Access
Wenhua Wu, Kun Hu, Wenxi Yue, et al.
Lecture notes in computer science (2024), pp. 303-319
Closed Access
Self-Supervised Multimodal Fusion Network for Knee Osteoarthritis Severity Grading
Wenhua Wu, Kun Hu, Wenxi Yue, et al.
(2023) Vol. 8, pp. 57-64
Closed Access | Times Cited: 1
Wenhua Wu, Kun Hu, Wenxi Yue, et al.
(2023) Vol. 8, pp. 57-64
Closed Access | Times Cited: 1
