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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.

, , , , , , и . CoRR, (2017)

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Quanzheng Sheng

Li Li

Li Li

Li Li

Li Li

 

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Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network., , , , , , и . NeuroImage, (2021)Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching., , и . MICCAI (2), том 8674 из Lecture Notes in Computer Science, стр. 733-740. Springer, (2014)Matched subspace detection for dynamic PET: an ROC phantom study for MAP reconstruction., , , , и . ISBI, стр. 1332-1335. IEEE, (2006)Statistical modeling and reconstruction of randoms pre-corrected PET data., и . ISBI, стр. 283-286. IEEE, (2006)Direct Estimation of Patlak Parameters from List Mode PET Data., и . ISBI, стр. 390-393. IEEE, (2009)Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection., , , , и . IEEE Trans. Med. Imaging, 28 (2): 230-240 (2009)A Fast Fully 4-D Incremental Gradient Reconstruction Algorithm for List Mode PET Data., , , и . IEEE Trans. Med. Imaging, 26 (1): 58-67 (2007)AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology., , , , , , , , , и 7 other автор(ы). CoRR, (2023)PET image denoising based on denoising diffusion probabilistic models., , , , и . CoRR, (2022)Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising., , , , , , и . CoRR, (2022)