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Metal Artifact Reduction for X-Ray Computed Tomography Using U-Net in Image Domain.

, , , , , and . IEEE Access, (2019)

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Thermal Drift Correction for Laboratory Nano Computed Tomography via Outlier Elimination and Feature Point Adjustment., , , , , , and . Sensors, 21 (24): 8493 (2021)An improved scattering correction method for model analysis of cone-beam CT., , , , , , , , and . BIC, page 376-380. ACM, (2022)Initial Results of CT Volume Metal Artifacts Reduction based on 3D U-net., , , , and . BIC, page 371-375. ACM, (2022)Completion of Metal-Damaged Traces Based on Deep Learning in Sinogram Domain for Metal Artifacts Reduction in CT Images., , , , and . Sensors, 21 (24): 8164 (2021)A Parameter Division Based Method for the Geometrical Calibration of X-Ray Industrial Cone-Beam CT., , , , , and . IEEE Access, (2018)Preliminary denoising by 3D U-Net in image domain for low dose CT images., , , , , , , , and . BIC, page 367-370. ACM, (2022)Multiscale Dense U-Net: A Fast Correction Method for Thermal Drift Artifacts in Laboratory NanoCT Scans of Semi-Conductor Chips., , , , , , , , and . Entropy, 24 (7): 967 (2022)Metal Artifact Reduction for X-Ray Computed Tomography Using U-Net in Image Domain., , , , , and . IEEE Access, (2019)3D Alternating Direction TV-Based Cone-Beam CT Reconstruction with Efficient GPU Implementation., , , , , , , and . Comput. Math. Methods Medicine, (2014)Geometric Artifact Evaluation of X-ray Computed Tomography Images Based on Convolutional Neural Network., , , , , and . ICCCS, page 391-394. IEEE, (2020)