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Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.

, , , , and . IEEE Trans. Med. Imaging, 36 (12): 2510-2523 (2017)

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Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database., , , , and . IEEE Trans. Med. Imaging, 36 (12): 2510-2523 (2017)Identifying the cardinality-constrained critical nodes with a hybrid evolutionary algorithm., , and . Inf. Sci., (2023)Dynamic cone beam x-ray luminescence computed tomography with principal component analysis., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105780Z. SPIE, (2018)Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans., , , , , , , , , and 4 other author(s). IEEE Trans. Computational Imaging, (2020)Sparse-sampling photoacoustic computed tomography: Deep learning vs. compressed sensing., , , , , and . Biomed. Signal Process. Control., 71 (Part): 103233 (2022)Full Dose CT Database Induced Reconstruction With Nonlocal Means Prior for Ultra-Low-Dose Lung CT: A Preliminary Study., , , , , , and . IEEE Access, (2019)Characterization, verification and generation of strategies in games with resource constraints., , , , and . Autom., (2022)EpiMiner: A three-stage co-information based method for detecting and visualizing epistatic interactions., , , and . Digit. Signal Process., (2014)Weighted Tensor Low-Rankness and Learnable Analysis Sparse Representation Model for Texture Preserving Low-Dose CT Reconstruction., , , , and . IEEE Trans. Computational Imaging, (2021)Financial fraud identification considering investor heterogeneous beliefs: Evidence from Chinese listed companies., , , and . ITQM, volume 214 of Procedia Computer Science, page 1301-1308. Elsevier, (2022)