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Single-view cone beam CT reconstruction with Swin transformer based deep learning.

S. Huang, Y. Song, J. Rong, T. Liu, D. Huang, и H. Lu. Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)

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Direct prior regularization from anatomical images for cone beam x-ray luminescence computed tomography reconstruction.P. Gao, J. Rong, T. Liu, W. Zhang, H. Pu, Z. Liang, и H. Lu. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10578 из SPIE Proceedings, стр. 105781I. SPIE, (2018)Dynamic cone beam x-ray luminescence computed tomography with principal component analysis.P. Gao, J. Rong, T. Liu, W. Zhang, H. Pu, Y. Zhang, и H. Lu. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10578 из SPIE Proceedings, стр. 105780Z. SPIE, (2018)Single-view cone beam CT reconstruction with Swin transformer based deep learning.S. Huang, Y. Song, J. Rong, T. Liu, D. Huang, и H. Lu. Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Low dose CT reconstruction with nonlocal means-based prior predicted from normal-dose CT database.J. Rong, Y. Zhang, T. Liu, P. Gao, Y. Xing, Z. Liang, и H. Lu. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10578 из SPIE Proceedings, стр. 1057821. SPIE, (2018)