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A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI., , , and . J. Digit. Imaging, 36 (4): 1565-1577 (August 2023)Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures., , , , , and . CBMS, page 72-77. IEEE, (2022)Multiangle Long-Axis Lateral Illumination Photoacoustic Imaging Using Linear Array Transducer., , , , , , and . Sensors, 20 (14): 4052 (2020)Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (11): 1971-1983 (2017)Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning., , , , , , , , and . CBMS, page 78-83. IEEE, (2022)BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging., , , and . SAC, page 220-227. ACM, (2019)BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging., , , , , and . CBMS, page 389-394. IEEE, (2021)3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging., , , , , and . CoRR, (2019)Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg., , , , , , and . SIBGRAPI, page 76-83. IEEE, (2019)FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI., , , and . SAC, page 198-201. ACM, (2020)