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A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities.

, , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., (December 2024)

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Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients., , , and . Int. J. Medical Informatics, (2021)Real-Time Musculoskeletal Kinematics and Dynamics Analysis Using Marker- and IMU-Based Solutions in Rehabilitation., , , , , , and . Sensors, 21 (5): 1804 (2021)Exploring deep learning capabilities in knee osteoarthritis case study for classification., , , , and . IISA, page 1-6. IEEE, (2019)Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning., , , , , , , and . IISA, page 1-8. IEEE, (2022)Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative., , , , and . IISA, page 1-7. IEEE, (2020)Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness., , , , and . Neural Comput. Appl., 35 (1): 21-33 (2023)A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation., , , , and . Comput. Methods Programs Biomed., (2022)Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective., , , , , and . Quantum Mach. Intell., 1 (3-4): 73-86 (2019)Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective., , , and . LION, volume 12096 of Lecture Notes in Computer Science, page 16-26. Springer, (2020)A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities., , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., (December 2024)