has been cited by the following article(s):
|
[1]
|
Knee Injury Diagnosis with Data and Feature Fusion-Enhanced Multi-Label Classification Network
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI),
2023
DOI:10.1109/ISBI53787.2023.10230702
|
|
|
|
|
[2]
|
ROLE OF MRI IN ASSESSMENT OF PATIENTS WITH PAINFUL KNEE JOINT
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH,
2022
DOI:10.36106/ijsr/6806935
|
|
|
|
|
[3]
|
Fusion of CNN1 and CNN2-based magnetic resonance image diagnosis of knee meniscus injury and a comparative analysis with computed tomography
Computer Methods and Programs in Biomedicine,
2021
DOI:10.1016/j.cmpb.2021.106297
|
|
|
|
|
[4]
|
Interpretation of the Common MRI Findings in Patients with Painful Knee Joint
European Journal of Medical and Health Sciences,
2021
DOI:10.34104/ejmhs.021.019026
|
|
|
|
|
[5]
|
Fusion of CNN1 and CNN2-based magnetic resonance image diagnosis of knee meniscus injury and a comparative analysis with computed tomography
Computer Methods and Programs in Biomedicine,
2021
DOI:10.1016/j.cmpb.2021.106297
|
|
|
|
|
[6]
|
Diagnostic accuracy of MRI knee in reference to arthroscopy in meniscal and anterior cruciate ligament injuries
The Egyptian Journal of Radiology and Nuclear Medicine,
2018
DOI:10.1016/j.ejrnm.2017.12.003
|
|
|
|
|
[7]
|
Magnetic Resonance Imaging in the Diagnosis of Traumatic Injuries Knee Joint
Medical Visualization,
2017
DOI:10.24835/1607-0763-2017-2-114-119
|
|
|
|