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A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology.

, , , and . IISA, page 1-7. IEEE, (2022)

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Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective., , , , , and . Quantum Mach. Intell., 1 (3-4): 73-86 (2019)A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation., , , , and . Comput. Methods Programs Biomed., (2022)An explainable machine learning pipeline for backorder prediction in inventory management systems., , , and . PCI, page 229-234. ACM, (2021)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)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)SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion., and . Pattern Recognit., 43 (11): 3712-3729 (2010)Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness., , , , and . Neural Comput. Appl., 35 (1): 21-33 (2023)SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images., , , , and . IEEE Trans. Geosci. Remote. Sens., 50 (1): 149-169 (2012)An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management., , , and . Sensors, 21 (23): 7926 (2021)Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative., , , , and . IISA, page 1-7. IEEE, (2020)