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Sparse-View Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks.

, , and . ISBI, page 1-5. IEEE, (2023)

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Aligning Projection Images from Binary Volumes., , , and . Fundam. Informaticae, 135 (1-2): 21-42 (2014)Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System., , , , , and . J. Imaging, 7 (3): 54 (2021)Dark Field Sensitivity In Single Mask Edge Illumination Lung Imaging., , and . ISBI, page 775-778. IEEE, (2021)The Radon Transform For Terahertz Computed Tomography Incorporating The Beam Shape., , , and . ICIP, page 3040-3044. IEEE, (2020)Neural netwok based X-ray tomography for fast inspection of apples on a conveyor belt system., , , , , and . ICIP, page 917-921. IEEE, (2015)Deep Learning Based Computed Tomography Whys and Wherefores., , , , and . CoRR, (2019)Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks., , , and . CoRR, (2023)CNN-Based Deblurring of THz Time-Domain Images., , , , and . VISIGRAPP (Revised Selected Papers), volume 1474 of Communications in Computer and Information Science, page 477-494. Springer, (2020)The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis., , and . EUSIPCO, page 880-884. IEEE, (2023)Newton-Krylov Methods For Polychromatic X-Ray CT., , , and . ICIP, page 3045-3049. IEEE, (2020)