刘净心
博士 人工智能与先进计算学院助理教授 Jingxin.Liu@xjtlu.edu.cn
人工智能与先进计算学院助理教授
发表文献
  • Liu, Jingxin, Qiang Zheng, Xiao Mu, Yanfei Zuo, Bo Xu, Yan Jin, Yue Wang et al. "Automated tumor proportion score analysis for PD-L1 (22C3) expression in lung squamous cell carcinoma." Scientific reports 11, no. 1 (2021): 1-9.
  • Xie, Ruitao, Jingxin Liu, Rui Cao, Connor S. Qiu, Jiang Duan, Jon Garibaldi, and Guoping Qiu. "End-to-End Fovea Localisation in Colour Fundus Images with a Hierarchical Deep Regression Network." IEEE Transactions on Medical Imaging 40, no. 1 (2020): 116-128.
  • Shu, Jie, Jingxin Liu, Yongmei Zhang, Hao Fu, Mohammad Ilyas, Giuseppe Faraci, Vincenzo Della Mea, Bozhi Liu, and Guoping Qiu. "Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images." Bioinformatics 36, no. 10 (2020): 3225-3233.
  • Wen, Zhijie, Ru Feng, Jingxin Liu, Ying Li, and Shihui Ying. "GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation." IEEE Journal of Biomedical and Health Informatics 25, no. 4 (2020): 1185-1196.
  • Chen, Zhe, Zhao Chen, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, and Yuan Li. "Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations." IEEE Journal of Biomedical and Health Informatics 25, no. 5 (2020): 1673-1685.
  • Xu, Bolei, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, and Guoping Qiu. "Attention by selection: A deep selective attention approach to breast cancer classification." IEEE transactions on medical imaging 39, no. 6 (2019): 1930-1941.
  • Hou, Xianxu, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, and Guoping Qiu. "Class-aware domain adaptation for improving adversarial robustness." Image and Vision Computing 99 (2020): 103926.
  • Liu, Jingxin, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andew Green, Ian O. Ellis, Wenbin Zou, and Guoping Qiu. "An end-to-end deep learning histochemical scoring system for breast cancer TMA." IEEE transactions on medical imaging 38, no. 2 (2018): 617-628.
  • Xu, Bolei, Jingxin Liu, Xianxu Hou, Bozhi Liu, and Guoping Qiu. "End-to-end illuminant estimation based on deep metric learning." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3616-3625. 2020.
  • Hou, Xianxu*, Jingxin Liu*, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi, and Guoping Qiu. "Dual adaptive pyramid network for cross-stain histopathology image segmentation." In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 101-109. Springer, Cham, 2019.
  • Liu, Jingxin, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, and Guoping Qiu. "Bladder cancer multi-class segmentation in mri with pyramid-in-pyramid network." In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pp. 28-31. IEEE, 2019.
  • Xu, Bolei, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, and Guoping Qiu. "Look, investigate, and classify: a deep hybrid attention method for breast cancer classification." In 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019), pp. 914-918. IEEE, 2019.
  • Liu, Jingxin, Bolei Xu, Linlin Shen, Jon Garibaldi, and Guoping Qiu. "HEp-2 cell classification based on a deep autoencoding-classification convolutional neural network." In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp. 1019-1023. IEEE, 2017.
  • Liu, Jingxin, Guoping Qiu, and Linlin Shen. "Luminance adaptive biomarker detection in digital pathology images." Procedia Computer Science 90 (2016): 113-118.
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研究领域
数字病理图像分析、生物医学图像分析、图像处理、机器学习、计算机视觉、人工智能
应用场景
1、针对病理、数字病理等相关企业或医疗机构开发数字图像数据分析工具、人工智能辅助诊断软件，帮助其进行数字化改造、提升诊断效率与准确率；
2、药物研发中病理或显微图像的定量分析、biomarker辅助判读，提升药企精准诊断能力。
工作经历
西交利物浦大学助理教授 - 2021至今
衡道病理诊断中心人工智能技术总监，2020-2021
深圳大学博士后研究员，2018-2020
教育背景
诺丁汉大学博士, 2018
爱丁堡大学硕士, 2013
都柏林塔拉理工学院学士（一等荣誉），2012
科研项目
无
产学研合作
无
专利项目
无

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