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Direct prior regularization from anatomical images for cone beam x-ray luminescence computed tomography reconstruction.

, , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105781I. SPIE, (2018)

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Full Dose CT Database Induced Reconstruction With Nonlocal Means Prior for Ultra-Low-Dose Lung CT: A Preliminary Study., , , , , , and . IEEE Access, (2019)Cone-beam X-ray luminescence computed tomography based on MLEM with adaptive FISTA initial image., , , , , , , and . Comput. Methods Programs Biomed., (February 2023)Single-view cone beam CT reconstruction with Swin transformer based deep learning., , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Direct prior regularization from anatomical images for cone beam x-ray luminescence computed tomography reconstruction., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105781I. SPIE, (2018)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)Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI., , , , , , , , , and 1 other author(s). Int. J. Comput. Assist. Radiol. Surg., 12 (4): 645-656 (2017)Low dose CT reconstruction with nonlocal means-based prior predicted from normal-dose CT database., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 1057821. SPIE, (2018)