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Deep-Learning-Based Metal Artefact Reduction With Unsupervised Domain Adaptation Regularization for Practical CT Images., , , , , и . IEEE Trans. Medical Imaging, 42 (8): 2133-2145 (2023)Fourier Properties of Symmetric-Geometry Computed Tomography and Its Linogram Reconstruction With Neural Network., , , , и . IEEE Trans. Medical Imaging, 39 (12): 4445-4457 (2020)Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods., , , и . CoRR, (2021)A novel deep learning-based method for monochromatic image synthesis from spectral CT using photon-counting detectors., , , и . CoRR, (2020)Quad-DIP for X-Ray Cargo Image Decomposition., , , , и . CVPR Workshops, стр. 4350-4358. Computer Vision Foundation / IEEE, (2021)An improved denoising algorithm based on multi-scale dyadic wavelet transform., , , и . Medical Imaging: Image Processing, том 6144 из SPIE Proceedings, стр. 61446G. SPIE, (2006)Adaptive Salience Preserving Pooling for Deep Convolutional Neural Networks., , и . ICME Workshops, стр. 513-518. IEEE, (2019)Low dose CT reconstruction with nonlocal means-based prior predicted from normal-dose CT database., , , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10578 из SPIE Proceedings, стр. 1057821. SPIE, (2018)Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database., , , , и . IEEE Trans. Med. Imaging, 36 (12): 2510-2523 (2017)A cascaded dual-domain deep learning reconstruction method for sparsely spaced multidetector helical CT., , , и . CoRR, (2019)