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Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations.

, , , , , , , and . Neurocomputing, (2016)

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Threshold choices of Huber regularization using global- and local-edge-detecting operators for x-ray computed tomographic reconstruction., , , , , , , and . EMBC, page 2352-2355. IEEE, (2013)Prediction of network public opinion based on bald eagle algorithm optimized radial basis function neural network., , and . Int. J. Intell. Comput. Cybern., 15 (2): 260-276 (2022)Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 36 (12): 2546-2556 (2017)An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 38 (2): 360-370 (2019)Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations., , , , , , , and . Neurocomputing, (2016)Fuzzy Adaptive NSGA-III for Large-Scale Optimization Problems., , and . Int. J. Fuzzy Syst., 24 (3): 1619-1633 (2022)Three-dimensional dynamic trust-driven consensus model for social network group decision-making with application to sustainable supplier selection in a circular economy., , , and . Adapt. Behav., 32 (5): 377-405 (2024)