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Analysis and Prediction of QL14h by Database Application.

, , , , , and . Wireless Personal Communications, 103 (1): 585-593 (2018)

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CT Image Denoising with Perceptive Deep Neural Networks., , , and . CoRR, (2017)Analysis and Prediction of QL14h by Database Application., , , , , and . Wireless Personal Communications, 103 (1): 585-593 (2018)Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss., , , , , , , and . CoRR, (2017)3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network., , , , , and . CoRR, (2018)Generative Low-Dose CT Image Denoising., , , , , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network., , , , , , , and . IEEE Trans. Med. Imaging, 37 (6): 1522-1534 (2018)Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network"., , , , , , , and . IEEE Trans. Med. Imaging, 37 (12): 2750 (2018)Spectral CT Reconstruction With Image Sparsity and Spectral Mean., , , , , and . IEEE Trans. Computational Imaging, 2 (4): 510-523 (2016)Spectral CT reconstruction using image sparsity and spectral correlation., , , , , and . ISBI, page 1600-1603. IEEE, (2015)CT Image Reconstruction in a Low Dimensional Manifold., , , , , and . CoRR, (2017)