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Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction"., , , , and . IEEE Trans. Medical Imaging, 40 (11): 2956-2964 (2021)A theoretical line losses calculation method of distribution system based on boosting algorithm., , , , and . ICNC-FSKD, page 714-718. IEEE, (2016)基于文化基因算法和最小二乘支持向量机的安全数据特征处理方法 (Feature Processing Approach Based on MA-LSSVM in Safety Data)., , , , and . 计算机科学, 44 (3): 237-241 (2017)A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT., , , , , , , and . Sensors, 23 (3): 1374 (February 2023)Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT., , , , and . CoRR, (2023)Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss., , , , , , , and . CoRR, (2017)Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization., , , , , and . IEEE Trans. Medical Imaging, 39 (10): 2996-3007 (2020)Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator., , , and . CoRR, (2023)Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity., , , , , , , , , and 2 other author(s). CoRR, (2022)Energy enhanced tissue texture in spectral computed tomography for lesion classification., , , , and . Vis. Comput. Ind. Biomed. Art, (2019)