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A sparse and prior based method for 3D image denoising., , , , and . EUSIPCO, page 1-5. IEEE, (2019)Convolutional Neural Network for Material Decomposition in Spectral CT Scans., , , , , , and . EUSIPCO, page 1259-1263. IEEE, (2020)Graph Structuring of Skeleton Object for Its High-Level Exploitation., , , and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 419-426. Springer, (2015)High resolution volume quantification of the knee joint space based on a semi-automatic segmentation of computed tomography images., , , , , , and . IWSSIP, page 157-161. IEEE, (2015)Application of Laws' masks to bone texture analysis: An innovative image analysis tool in osteoporosis., , , , , and . ISBI, page 1191-1194. IEEE, (2008)Human Knee Phantom for Spectral CT: Validation of a Material Decomposition Algorithm., , , , , , , and . ISBI, page 1170-1173. IEEE, (2019)Semi-automatic Compartment Extraction to Assess 3D Bone Mineral Density and Morphometric Parameters of the Subchondral Bone in the Tibial Knee., , , and . IV, page 518-523. IEEE Computer Society, (2015)A new anisotropy index on trabecular bone radiographic images using the fast Fourier transform., , , , and . BMC Medical Imaging, (2005)Deep Learning on Knee CT Scans from Osteoarthritis Patients for Joint Space Assessment., , , and . SITIS, page 348-353. IEEE, (2022)A residual U-Net network with image prior for 3D image denoising., , , , , , and . EUSIPCO, page 1264-1268. IEEE, (2020)