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:
Automated meniscus segmentation and tear detection of knee MRI with a 3D mask-RCNN
Yuanzhe Li, Yi Wang, Kaibin Fang, et al.
European journal of medical research (2022) Vol. 27, Iss. 1
Open Access | Times Cited: 14
Yuanzhe Li, Yi Wang, Kaibin Fang, et al.
European journal of medical research (2022) Vol. 27, Iss. 1
Open Access | Times Cited: 14
Showing 14 citing articles:
Deep Learning Model for Grading and Localization of Lumbar Disc Herniation on Magnetic Resonance Imaging
Yefu Xu, S. J. Zheng, Qingyi Tian, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 5
Yefu Xu, S. J. Zheng, Qingyi Tian, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 5
A Comprehensive Evaluation of Deep Learning Models on Knee MRIs for the Diagnosis and Classification of Meniscal Tears: A Systematic Review and Meta-Analysis
Alexei Botnari, Manuella Kadar, Jenel Marian Pătraşcu
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1090-1090
Open Access | Times Cited: 4
Alexei Botnari, Manuella Kadar, Jenel Marian Pătraşcu
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1090-1090
Open Access | Times Cited: 4
Automatic Meniscus Segmentation Using YOLO-Based Deep Learning Models with Ensemble Methods in Knee MRI Images
Mehmet Ali Şimşek, Ahmet Sertbaş, Hadi Sasanı, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2752-2752
Open Access
Mehmet Ali Şimşek, Ahmet Sertbaş, Hadi Sasanı, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2752-2752
Open Access
Predicting the Hamstring Graft Size for ACL Reconstruction Using a 3D Tendon Model in Preoperative MRI
Andreas Frodl, M. Mayr, Markus Siegel, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 2128-2128
Open Access
Andreas Frodl, M. Mayr, Markus Siegel, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 2128-2128
Open Access
Machine learning for anterior cruciate ligament and meniscus analysis in knee MRI: A comprehensive review
Congjing Yu, Changzhen Qiu, Zhiyong Zhang
Displays (2025), pp. 103032-103032
Closed Access
Congjing Yu, Changzhen Qiu, Zhiyong Zhang
Displays (2025), pp. 103032-103032
Closed Access
R predicting lung cancer bone metastasis using CT and pathological imaging with a Swin Transformer model
Wanling Li, Xinhua Zou, Jie Zhang, et al.
Journal of bone oncology (2025), pp. 100681-100681
Open Access
Wanling Li, Xinhua Zou, Jie Zhang, et al.
Journal of bone oncology (2025), pp. 100681-100681
Open Access
Achieving high accuracy in meniscus tear detection using advanced deep learning models with a relatively small data set
Erdal Güngör, Husam Vehbi, Ahmetcan Cansın, et al.
Knee Surgery Sports Traumatology Arthroscopy (2024)
Open Access | Times Cited: 2
Erdal Güngör, Husam Vehbi, Ahmetcan Cansın, et al.
Knee Surgery Sports Traumatology Arthroscopy (2024)
Open Access | Times Cited: 2
Automated segmentation and source prediction of bone tumors using ConvNeXtv2 Fusion based Mask R-CNN to identify lung cancer metastasis
Ketong Zhao, Ping Dai, Ping Xiao, et al.
Journal of bone oncology (2024) Vol. 48, pp. 100637-100637
Open Access | Times Cited: 2
Ketong Zhao, Ping Dai, Ping Xiao, et al.
Journal of bone oncology (2024) Vol. 48, pp. 100637-100637
Open Access | Times Cited: 2
MRI deep learning models for assisted diagnosis of knee pathologies: a systematic review
K. W. Mead, Tom Cross, Greg Roger, et al.
European Radiology (2024)
Open Access | Times Cited: 2
K. W. Mead, Tom Cross, Greg Roger, et al.
European Radiology (2024)
Open Access | Times Cited: 2
Deep bone oncology Diagnostics: Computed tomography based Machine learning for detection of bone tumors from breast cancer metastasis
Xiao Zhao, Yue-Han Dong, Liyu Xu, et al.
Journal of bone oncology (2024) Vol. 48, pp. 100638-100638
Open Access | Times Cited: 1
Xiao Zhao, Yue-Han Dong, Liyu Xu, et al.
Journal of bone oncology (2024) Vol. 48, pp. 100638-100638
Open Access | Times Cited: 1
Feasibility of the fat-suppression image-subtraction method using deep learning for abnormality detection on knee MRI
Shusuke Kasuya, Tsutomu Inaoka, Akihiko Wada, et al.
Polish Journal of Radiology (2023) Vol. 88, pp. 562-573
Open Access | Times Cited: 3
Shusuke Kasuya, Tsutomu Inaoka, Akihiko Wada, et al.
Polish Journal of Radiology (2023) Vol. 88, pp. 562-573
Open Access | Times Cited: 3
A Comprehensive Review on MRI-based Knee Joint Segmentation and Analysis Techniques
Pavan Mahendrakar, Dileep Kumar, Uttam Patil
Current Medical Imaging Formerly Current Medical Imaging Reviews (2023) Vol. 20
Open Access | Times Cited: 2
Pavan Mahendrakar, Dileep Kumar, Uttam Patil
Current Medical Imaging Formerly Current Medical Imaging Reviews (2023) Vol. 20
Open Access | Times Cited: 2
Screening of opportunistic osteoporosis in patients with hip joint injury by radiomics analysis of chest CT scanning
Xiaoling Zheng, Kaibin Fang, Xiaocong Lin, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 2, pp. 100838-100838
Open Access
Xiaoling Zheng, Kaibin Fang, Xiaocong Lin, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 2, pp. 100838-100838
Open Access
Deep Depthwise Residual Network for Knee Meniscus Segmentation From Magnetic Resonance Imaging
Anita Thengade, Archana M. Rajurkar, Sanjay N. Talbar
International Journal of Imaging Systems and Technology (2024) Vol. 35, Iss. 1
Open Access
Anita Thengade, Archana M. Rajurkar, Sanjay N. Talbar
International Journal of Imaging Systems and Technology (2024) Vol. 35, Iss. 1
Open Access
