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Pseudo progression identification of glioblastoma with dictionary learning., , , , , , , , , and 3 other author(s). Comput. Biol. Medicine, (2016)A general exact reconstruction for cone-beam CT via backprojection-filtration., , , and . IEEE Trans. Med. Imaging, 24 (9): 1190-1198 (2005)Sart-Type Half-Threshold Filtering Approach for CT Reconstruction., and . IEEE Access, (2014)LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising., , , , , , and . CoRR, (2023)Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions., , , , and . ISBI, page 65-68. IEEE, (2014)Segment Self-Guide Reconstruction Algorithm Based on Object-Oriented Quantization., , and . International Conference on Computational Science, volume 2657 of Lecture Notes in Computer Science, page 457-465. Springer, (2003)TED-Net: Convolution-Free T2T Vision Transformer-Based Encoder-Decoder Dilation Network for Low-Dose CT Denoising., , and . MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 416-425. Springer, (2021)Stabilizing Deep Tomographic Reconstruction Networks., , , , , , , , , and . (August 2020)IEEE Access Special Section Editorial: Multi-Energy Computed Tomography and its Applications., , and . IEEE Access, (2021)Speedup performance analysis of parallel Katsevich algorithm for 3D CT image reconstruction., , , , and . Int. J. Comput. Sci. Eng., 6 (3): 151-159 (2011)