Language : English
刘晴
  • Personal Information

    讲师



    Supervisor of Master's Candidates

    Date of Employment:2019-07-25

    School/Department:Computer Science and Engineering

    Education Level:PhD Graduate

    Business Address:计算机楼405-2

    Sex:Female

    Contact Information:qing.liu.411@gmail.com

    Degree:Doctoral degree

    Status:Employed

    Discipline:Computer Science and Technology

  • Profile

    个人基本信息

    址: 中南大学校本部计算机405-2

           话: 18711176740

           E-mail qing.liu.411@gmail.com

           Homepage: https://sites.google.com/site/qingliucs/

    研究兴趣

           计算机视觉、医学图像分析


    每年招生硕士研究生2-3名,欢迎喜欢计算机视觉和医学图像分析的小同学的加入^_^

    工作经历

           2019.09 –          中南大学计算机学院,讲师

    2017.07 – 2019.07中南大学,控制科学与工程,博士后

    访问经历

    2015.10 - 2017.04 芬兰奥卢大学,机器视觉与信号处理中心,合作导师:赵国英教授


    论文列表

    • Yang Li, Beiji Zou,Qing Liu*A deep attention network via high-resolution representation for liver and liver tumor segmentation. 2021. Biocybernetics and Biomedical Engineering. Accepted.


    • Qing Liu#, Haotian Liu#, Yang Zhao, Yixiong Liang*. Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images. 2021. IEEE Journal of Biomedical and Health Informatics. PDF

    • Beiji Zou, Hongpu Fu, Zailiang Chen, Qing Liu*. Ground Truth Free Retinal Vessel Segmentation by Learning from Simple Pixels. 2021. IET Image Processing.


    • Jingyu Du, Beiji Zou, Changlong Chen, Xuzi Wen, Qing Liu*.  Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion. 2020. Computer Methods and Programs in Biomedicine.  PDF. Code.


    • Yao Xiang, Jialin Chen, Qing Liu, Yixiong Liang*.  Disentangled Representation Learning based Multidomain Stain Normalization for Histological Images. ICIP 2020. (Oral)


    • Meng Yan#, Qing Liu#,  Zhihua Yin, Du Wang, Yixiong Liang*. A Bidirectional Context Propagation Network for Urine Sediment Particle Detection in Microscopic Images. ICASSP 2020. (Oral)


    • Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang*. A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation. ICASSP 2020, arxiv.org/pdf/1911.01648.pdf (Oral)


    • Qing Liu, Xiaopeng Hong, Wei Ke, Zailiang Chen, Beiji Zou. DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation. 2019, https://128.84.21.199/pdf/1904.08773.pdf

    • Qing Liu, Xiaopeng Hong, Shuo Li, Zailiang Chen, Guoying Zhao, Beiji Zou*. A Spatial-aware Joint Optic Disc and Cup Segmentation Method. 2019. Neurocomputing . PDF


    • Beiji Zou, Qing Liu, Kejuan Yue et al. Saliency based Optic Disc Segmentation. 2019. Chinese Journal of Electronics.


    • Qing Liu, Xiaopeng Hong, Beiji Zou, Jie Chen, Guoying Zhao. Hierarchical Contour Closure based Holistic Salient Object Detection. 2017. IEEE Transaction on Image Processing. Project


    • Qing Liu, Beiji Zou, Jie Chen, Wei Ke, Kejuan Yue, Zailiang Chen, Guoying Zhao. 2017. A Location-to-Segmentation Strategy for Automatic Exudate Segmentation in Colour Retinal Fundus Images. 2017. Computerized Medical Imaging and Graphics. PDF


    • Qing Liu, Beiji Zou, Jie Chen, Zailiang Chen, Chengzhang Zhu, Kejuan Yue, Guoying Zhao. Retinal Vessel Segmentation From Simple to Difficult. 2016. MICCAI workshop on OMIA (Oral). PDF


    • Beiji Zou, Qing Liu, Zailiang Chen, Shijian Liu, Xiaoyun Zhang. Saliency Detection Using Boundary Information. 2016. Multimedia Systems. PDF


    • Zou Beiji, Qing Liu, Zailiang Chen, Hongpu Fu, Chengzhang Zhu. Surroundedness based multiscale saliency detection. 2015. Journal of Visual Communication and Image Representation.PDF

    • Qing Liu, Beiji Zou, Zailiang Chen, Hongpu Fu. Color Feature Based Interest Objects Detection. 2013. Journal of Computer-Aided Design & Computer Graphics (in Chinese) .


    在研项目

    【1】  湖南省自然科学基金,青年项目,彩色眼底图像中病灶分割方法研究及其 在糖尿病视网膜病变辅助诊断中的应用,2021/01-2023/12

    【2】   国家自然科学基金,青年项目,62006249,面向青光眼辅助诊断的鲁棒的眼底图像分析方法研究,2021/01-2023/12,在研,主持

    【3】   长沙市自然科学基金,面向糖尿病视网膜病变智能筛查的彩色眼底图像分析方法研究,2020/07-2022/06,在研,主持

    【4】   科学技术部,科技部科技创新2030-“新一代人工智能”重大项目,2018AAA0102102,项目名称:跨模态医疗分析推理技术与系统,子课题名称:大规模跨模态医疗知识管理,2019-12至2023-11,在研,参与

    结题项目

    中国博士后科学基金,面上资助一等资助,2017M620356,医学影像分析及其在青光眼筛查中的应用,2017-12至2019-07,已结题,主持


    合作老师:梁毅雄老师(中南大学)    柯炜老师(西安交通大学)




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