发表论文（Selected）
[1] Song JD, Pu SZ, Li L*. Full-Field Imaging System of X-ray Transmission, Scattering and Fluorescence Tomography with Polychromatic Source, IEEE Transactions on Radiation and Plasma Medical Sciences, 2025, DOI 10.1109/TRPMS.2025.3570314.
[2] Pu SZ, Song JD, Lu HB, Zhang WL*, Li L*. High-sensitivity and spatial resolution benchtop cone beam XFCT imaging system with pixelated photon counting detectors using enhanced multipixel events correction method, Physics in Medicine and Biology, 2024, 69: 215039.
[3] Li L*, Sun HH, Yao YD, Chen ZQ. Noise characterization analysis of dynamic dual-energy CT and its advantage in suppressing statistical noise, Physics in Medicine and Biology, 2024, 69: 185004.
[4] Wang YY, Liu XM, Li L*. Metal Artifacts Reducing Method Based on Diffusion Model Using Intraoral Optical Scanning Data for Dental Cone-beam CT, IEEE Transactions on Medical Imaging, 2024, doi: 10.1109/TMI.2024.3440009.
[5] Wen XY, Liu ZX, Chu YB, Le M, Li L*. MRCM-UCTransNet: Automatic and Accurate 3D Tooth Segmentation Network From Cone-Beam CT Images, Int J Imaging Syst Technol, 2024, 34: e23139. https://doi.org/10.1002/ima.23139. (Cover paper)
[6] Son JD, Xu FY, Yao B, Lu HB*, Zhang WL*, Li L*. Mechanism of X-ray excited optical luminescence in NaGdF4-based nanoparticles, Results in Physics, 58 107480, 2024, https://doi.org/10.1016/j.rinp.2024.107480.
[7] Gao JP, Sheng L, Wang XY, Zhang YH, Li L*, Duan BJ, Zhang M, Li Y, Hei DW*. Five-view three-dimensional reconstruction for ultrafast dynamic imaging of pulsed radiation sources. Matter Radiat. Extremes, 2024, 9 (2): 027801.
[8] Li L*, Song JD, PU SZ. Full-field multimodal imaging technology of X-ray transmission, fluorescence and scattering tomography (PI-CT) with polychromatic source, Proc. SPIE 13152, Developments in X-Ray Tomography XV, 131521A (4 October 2024) (Invited paper).
[9] Li L*, Zhang SY, Zhang WL, Lu HB. Full-field in vivo imaging of nanoparticles using benchtop cone-beam XFCT system with pixelated photon counting detector, Phys. Med. Biol. 68 035020, 2023.
[10] Wu CP, Li L*. First demonstration of Compton camera used for X-ray fluorescence imaging, IEEE Transactions on Medical Imaging, 2023, 42(5): 1314-24.
[11] Wu CP, Li L*. An accurate probabilistic model with detector resolution and Doppler broadening correction in list-mode MLEM reconstruction for Compton camera, Phys. Med. Biol. 67 125017, 2022.
[12] Jorgensen A M, Xu R, Sun T, Huang Y, Li L, Dai L, Wang C. A Theoretical Study of the Tomographic Reconstruction of Magnetosheath X-Ray Emissions, Journal of Geophysical Research: Space Physics, 127, e2021JA029948, 2022.
[13] Fang W, Li L*. Attenuation image referenced (AIR) effective atom number image calculation for MeV dual-energy container CT using image-domain deep learning framework. Results in Physics, 35: 105406, 2022.
[14] Yao YD, Li L*, Chen ZQ*. Iterative dynamic dual-energy CT algorithm in reducing statistical noise in multi-energy CT imaging, Physics in Medicine and Biology, 67 015003, 2022.
[15] Yan ZY, Li L*, Qiu R, Chen ZQ. Research on X-ray Fluorescence Enhanced Fluoroscopy Imaging Technology, Photonics 2021, 8(10): 441. https://doi.org/10.3390/photonics8100441
[16] Fang W, Wu DF, Kim K, Kalra MK., Singh R, Li L*, Li QZ*. Iterative material decomposition for spectral CT using self-supervised Noise2Noise prior. Physics in Medicine and Biology, 66: 155013, 2021.
[17] 张芝振, 李亮*. X射线荧光CT成像中荧光产额、退激时间、散射、偏振等关键物理问题计算与分析, 物理学报, 2021, Vol. 70, No. 19 (2021) 195201
[18] 宋佳丹, 李亮*, 彭吉龙*. 极紫外太阳爆发成像建模仿真与反演算法研究, 光学学报, 2021, 41(16): 1630001
[19] Huang Y, Dai L, Wang C, Xu RL, Li L. A new inversion method for reconstruction of plasmaspheric He+ density from EUV images, Earth and Planetary Physics, 5: 218–222, 2021. doi: 10.26464/epp2021020
[20] Fang W, Li L*, Chen ZQ. Removing Ring Artefacts for Photon-counting Detectors Using Neural Networks in Different Domains, IEEE Access, 8: 42447-42457, 2020. DOI: 10.1109/ACCESS.2020.2977096
[21] Zhang WL, Zhang SY, Gao P, Lan B, Li LH, Zhang XF, Li L*, Lu HB*. The feasibility of NaGdF4 nanoparticles as an x-ray fluorescence computed tomography imaging probe for the liver and lungs, Med Phys., 47(2): 662-761, 2020.
[22] Yang Y, Wu YC, Li L, et al. Design and characterization of high energy micro-CT with a laser-based X-ray source, Results in Physics, 14(2019), 102382.
[23] Zhang SY, Li L*, Chen ZQ*. Scattering Noise Model Enhanced EM-TV Algorithm for Benchtop X-ray Fluorescence Computed Tomography Image Reconstruction, IEEE Access, 7(1): 113589-113595, 2019.
[24] Zhang SY, Li L*, Chen JY, Chen ZQ*, Wenli Zhang, Hongbing Lu, Quantitative Imaging of Gd Nanoparticles in Mice Using Benchtop Cone-beam X-ray Fluorescence Computed Tomography System, Int J Mol Sci. 2019 May 10; 20(9). pii: E2315. doi: 10.3390/ijms20092315
[25] Yao YD, Li L*, Chen ZQ*. Dynamic-dual-energy spectral CT for improving multi-material decomposition in image-domain, Phys. Med. Biol. 64 (2019) 135006 (22pp)
[26] Chen ZY, Li L*. Robust multimaterial decomposition of spectral CT using convolutional neural networks, Opt. Eng., 58(1), 013104 (2019), doi: 10.1117/1.OE.58.1.013104.
[27] Li L*, Zhao T, Chen ZQ. First Dual MeV Energy X-ray CT for Container Inspection: Design, Algorithm and Preliminary Experimental Results, IEEE Access, volume 6, 2018, pp: 45534-45542, DOI: 10.1109/ACCESS.2018.2864800
[28] Zhao T, Li L*, Chen ZQ*. Dynamic Material Decomposition Method for MeV Dual-Energy X-ray CT, Applied Radiation and Isotopes, 140 (2018) 55–62.
[29] Zhao T, Li L*, Chen ZQ*. Iterative Material Decomposition Method Eliminating Photoelectric Effect for Dual MeV Energy Computed Tomography, IEEE Transactions on Nuclear Science, 65(7): 1394-1402, 2018.
[30] Zhao T, Li L*, Chen ZQ*. K-edge eliminated material decomposition method for dual-energy X-ray CT, Applied Radiation and Isotopes 127 (2017) 231–236.
[31] Li L, Zhang SY, Li RZ, et al. Full-field, fan-beam x-ray fluorescence computed tomography with a conventional x-ray tube and photon-counting detectors for fast nanoparticle bioimaging, Opt. Eng. 56(4), 043106 (2017).
[32] Li L, Li RZ, Zhang SY, Zhao T, Chen Z Q. A dynamic material discrimination algorithm for dual MV energy X-ray digital radiography, Applied Radiation and Isotopes, Volume 114, August 2016, Pages 188–195.
[33] Li L, Wang BG, Wang G. Edge-oriented Dual-dictionary Guided Enrichment (EDGE) for MRI-CT Image Reconstruction, Journal of X-ray science and technology, 24 (2016) 161–175.
[34] Li L, Chen ZQ, Cong WX, Wang G. Spectral CT Modeling and Reconstruction with Hybrid Detectors in Dynamic-threshold-based Counting and Integrating Modes, IEEE Transactions on Medical Imaging, 34(3): 716-728, 2015.
[35] Li L, Chen ZQ, Wang G, Chu JY, Gao H. A tensor PRISM algorithm for multi-energy CT reconstruction and comparative studies, Journal of X-Ray Science and Technology, 22: 147–163, 2014.
[36] Li L, Chen ZQ, Zhao ZR, Wu DF. X-ray digital intraoral tomosynthesis (IDT) for 3-D imaging: system, reconstruction algorithm and experiments, Optical Engineering, 52(1): 013201, 2013.
[37] Li L, Xing YX, Chen ZQ, et al. A curve-filtered FDK (C-FDK) reconstruction algorithm for circular cone-beam CT. Journal of X-Ray Science and Technology 19: 355–371, 2011.
[38] Li L, Chen Z Q, Xing Y X, et al. A general exact method for synthesizing parallel-beam projections from cone-beam projections via filtered backprojection. Phys Med Biol, 2006, 51:5643-5654.
教育研究论文：
[1] 王晓宁, 李亮. 大类招生培养下高校学生党支部建设研究——以清华大学G院系为例. 北京教育(德育), 2025, (06): 7-10..
专著/教材：
[1] 《Cone Beam Computed Tomography》(Editor: Chris C. Shaw), CRC Press, Taylor & Francis, Boca Raton, FL, 2014/2020.