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IEEE Access Special Section Editorial: Multi-Energy Computed Tomography and its Applications.

, , и . IEEE Access, (2021)

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Yu-Ting Yu

Yu-Yu Su

Sze-Man Yu

Metal complexes with enolatoimine ligands for controlled olefin polymerizations. Uni Konstanz, (2009)

Hangxing Yu

Na Yu

 

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Pseudo progression identification of glioblastoma with dictionary learning., , , , , , , , , и 3 other автор(ы). Comput. Biol. Medicine, (2016)A general exact reconstruction for cone-beam CT via backprojection-filtration., , , и . IEEE Trans. Med. Imaging, 24 (9): 1190-1198 (2005)Sart-Type Half-Threshold Filtering Approach for CT Reconstruction., и . IEEE Access, (2014)Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions., , , , и . ISBI, стр. 65-68. IEEE, (2014)LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising., , , , , , и . CoRR, (2023)Segment Self-Guide Reconstruction Algorithm Based on Object-Oriented Quantization., , и . International Conference on Computational Science, том 2657 из Lecture Notes in Computer Science, стр. 457-465. Springer, (2003)TED-Net: Convolution-Free T2T Vision Transformer-Based Encoder-Decoder Dilation Network for Low-Dose CT Denoising., , и . MLMI@MICCAI, том 12966 из Lecture Notes in Computer Science, стр. 416-425. Springer, (2021)Stabilizing Deep Tomographic Reconstruction Networks., , , , , , , , , и . (августа 2020)Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography., и . IEEE Trans. Med. Imaging, 37 (6): 1370-1381 (2018)Speedup performance analysis of parallel Katsevich algorithm for 3D CT image reconstruction., , , , и . Int. J. Comput. Sci. Eng., 6 (3): 151-159 (2011)