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  • 李腊全


    李腊全,女,1986年生,湖北襄阳人,中共党员,博士,硕士生导师。

    联系方式:

    E-mail: lilq@cqupt.edu.cn

    通讯地址:重庆市南岸区崇文路2号重庆邮电大学理学院(邮编:400065

    学习与工作经历:

    2018.07—至今,重庆邮电大学,理学院,讲师,从事教学与科研工作。

    2012.09—2018.06,华中科技大学,自动化学院,硕博连读,工学博士。

    2011.092012.06,华中科技大学,数学与统计学院,基础数学专业。

    2007.09—2011.06,湖北民族学院,理学院,理学学士。

    主要研究方向:

    图像处理与分析,模式识别,机器学习,图像处理中的反问题。

    科研项目:

    1.       国家自然科学基金(青年),基于自适应信息融合策略的PET/CT肿瘤共分割算法研究(61901074),主持。

    2.       重庆市教委科学技术研究项目,射影变换群下图形图像的几何不变特征描述,主持。

    主要学术论文:

    1. Laquan Li, Jian Wang, Wei Lu, Shan Tan. Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations. Computer Vision and Image Understanding, 2017, 155: 173-194. (SCI)

    2. Laquan Li, Wei Lu, Yihua Tan, Shan Tan. Variational PET/CT Tumor Co-segmentation Integrated with PET Restoration. IEEE Transactions on Radiation and Plasma Medical Sciences, 2020, 4(1): 37-49.

    3. Laquan Li, Xiangming Zhao, Wei Lu, Shan Tan. Deep Learning for Variational Multimodality Tumor Segmentation in PET/CT. Neurocomputing, 2019, doi: https://doi.org/10.1016/j.neucom.2018.10.099.

    4. Shan Tan, Laquan Li, Wookjin Choi, Min Kyu Kang, Warren D D'Souza, Wei Lu. Adaptive Region-Growing with Maximum Curvature Strategy for Tumor Segmentation in 18F-FDG PET. Physics in Medicine & Biology, 2017, 62: 5383-5402. (SCI)

    5. Xiangming Zhao, Laquan Li, Wei Lu, Shan Tan. Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network. Physics in Medicine & Biology, 2018, 64(1): 015011. (SCI)

    6. Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad, Shan Tan, Laquan Li, Wei Lu, et al. The first MICCAI challenge on PET tumor segmentation. Medical Image Analysis, 2018, 44: 177-195. (SCI)

    7. Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Rui Chen, Kaiyi Peng. B-Spline based globally optimal segmentation combining low-level and high-level information. Pattern Recognition, 2018, 73: 144–157. (SCI)

    8. Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang. A variational approach to liver segmentation using statistics from multiple sources. Physics in Medicine & Biology, 2018, 63(2): 025024. (SCI:)

    9. Laquan Li, Wei Lu, Shan Tan. Simultaneous PET Restoration and PET/CT Co-Segmentation Using a Variational Method. 58th Annual Meeting and Exhibition of the American Association of Physicists in Medicine (AAPM), Washington, DC, 2016.7.31-2016.8.4. (SCI)

    10. Laquan Li, Wei Lu, Shan Tan. Coupling PET Image Restoration and Segmentation Using Variational Method with Multiple Regularizations. 57th Annual Meeting and Exhibition of the American Association of Physicists in Medicine (AAPM), Anaheim, CA, 2015.7.12-2015.7.16. (SCI)

    11. Laquan Li, Shuai Li, Wei Lu, Shan Tan. Simultaneous PET image restoration and tumor segmentation using a generalized linear model: A global optimal solution. Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging, Baltimore, MD, 2015.6.6-2015.6.10. (SCI)

    12. Laquan Li, Wei Lu, Warren D'Souza, Shan Tan. Simultaneous Deconvolution and Segmentation for PET Tumor Delineation Using a Variational Method. 56th Annual Meeting and Exhibition of the American Association of Physicists in Medicine (AAPM), Austin, TX, 2014.7.20-2014.7.24. (MEDLINE)

    13. Laquan Li, Wei Lu, Warren D'Souza, Shan Tan. A Study About the Influence of ROI Variation On Tumor Segmentation in PET. 56th Annual Meeting and Exhibition of the American Association of Physicists in Medicine (AAPM), Austin, TX, 2014.7.20-2014.7.24. (MEDLINE)