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Personal profile

Biography

I have rich experiences in the area of computer vision and deep learning as I have over 8 years experience on these related topics. I have been a main member of some projects including FP7 project, EPSRC, EU2020.


My personal page: https://runningdongxu.github.io/

Teaching Responsibilities

Operating System;

Programming

Education/Academic qualification

Ph.D.

External positions

PDRA, University of Liverpool

13 Aug 20181 Sep 2021

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • TransBridge: a lightweight transformer for left ventricle segmentation in echocardiography

    Deng, K., Meng, Y., Gao, D., Bridge, J., Shen, Y., Lip, G. Y. H., Zhao, Y. & Zheng, Y., 21 Sep 2021, Simplifying Medical Ultrasound. ASMUS 2021: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Noble, J. A., Aylward, S., Grimwood, A., Min, Z., Lee, S-L. & Hu, Y. (eds.). Springer, p. 63-72 10 p. (Lecture Notes in Computer Science (part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics sub series); vol. 12967).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Cooperative low-rank models for removing stripe noise from OCTA images

    Wu, X., Gao, D., Borroni, D., Madhusudhan, S., Jin, Z. & Zheng, Y., 1 Dec 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 12, p. 3480-3490 11 p., 12.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    3 Downloads (Pure)
  • BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for biomedical image segmentation

    Meng, Y., Zhang, H., Gao, D., Zhao, Y., Yang, X., Qian, X., Huang, X. & Zheng, Y., 15 Oct 2021, (Accepted for publication) Proceedings of BMVC 2021. British Machine Vision Association

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A novel deep learning based OCTA de-striping method

    Gao, D., Celik, N., Wu, X., Williams, B. M., Stylianides, A. & Zheng, Y., 24 Jan 2020, Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Springer, p. 189-197 9 p. (Communications in Computer and Information Science; vol. 1065).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • CNN-GCN aggregation enabled boundary regression for biomedical image segmentation

    Meng, Y., Wei, M., Gao, D., Zhao, Y., Yang, X., Huang, X. & Zheng, Y., 29 Sep 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer, p. 352-362 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    27 Downloads (Pure)