• United Kingdom

Accepting PhD Students

PhD projects

(1) Novel Deep Learning Methods for Limited Data (segmentation and registration)
(2) Natural language processing applied to learn medical images
(3) Novel variational models for multimodal data integration
(4) Efficient numerical methods for models with high order regularization
(5) Integrating mathematical and artificial intelligence algorithms with vision-language models (funded) see https://tinyurl.com/Ken-UoS-PhD2023a
(6) Development of mathematical and AI algorithms for multimodal imaging: see https://tinyurl.com/Ken-UoS-PhD2024a
(*) New home page: https://www.strath.ac.uk/staff/chenkeprofessor/ and Previous home page: https://www.liverpool.ac.uk/~cmchenke/

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Conference contribution book

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  • 2023

    Euler-Elastica variational model for pulsed terahertz 3D imaging

    Zhang, Y., Chen, K. & Yang, S-H., 27 Sept 2023, 2023 Conference on Lasers and Electro-Optics (CLEO): Applications and Technology, CLEO:A and T 2023. Piscataway, NJ: IEEE, 2 p. JTh2A.104

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

    2 Citations (Scopus)
  • Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model

    Zhang, H., Burrows, L., Meng, Y., Sculthorpe, D., Mukherjee, A., Coupland, S. E., Chen, K. & Zheng, Y., 22 Aug 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Piscataway, NJ: IEEE, p. 15630-15640 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

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

    Open Access
    File
    5 Citations (Scopus)
    22 Downloads (Pure)
  • Approximate minimum homology basis for 3D image and its application in medical image segmentation

    Huang, J., Lei, N., Chen, K., Ren, Y., Wang, Z. & Shang, Y., 2 Jan 2023, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Adjeroh, D., Long, Q., Shi, X., Guo, F., Hu, X., Aluru, S., Narasimhan, G., Wang, J., Kang, M., Mondal, A. M. & Liu, J. (eds.). Piscataway, NJ: IEEE, p. 2182-2189 8 p.

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

  • 2022

    A visible edge aware directional total variation model for limited-angle reconstruction

    Zhang, Y., Chen, K., Zhao, X. & Li, H., 17 Oct 2022, 7th International Conference on Image Formation in X-Ray Computed Tomography. Stayman, J. W. (ed.). Bellingham, Washington, 7 p. 123042N. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12304).

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

    Open Access
  • Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling

    Zhang, Y., Chen, K. & Yang, S. H., 26 Sept 2022, IRMMW-THz 2022 - 47th International Conference on Infrared, Millimeter and Terahertz Waves. 2 p. (International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz; vol. 2022-August).

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

    Open Access
    File
    6 Citations (Scopus)
    17 Downloads (Pure)
  • 2021

    Using deep image prior to assist variational selective segmentation deep learning algorithms

    Burrows, L., Chen, K. & Torella, F., 10 Dec 2021, 17th International Symposium on Medical Information Processing and Analysis. Romero, E., Costa, E. T., Brieva, J., Rittner, L., Linguraru, M. G. & Lepore, N. (eds.). Vol. 12088. 10 p. 120880S. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12088).

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

    Open Access
    File
    1 Citation (Scopus)
    7 Downloads (Pure)
  • Multi-modality Image Registration Models and Efficient Algorithms

    Zhang, D., Theljani, A. & Chen, K., 26 Sept 2021, Mathematical Methods in Image Processing and Inverse Problems, IPIP 2018. Tai, X-C., Wei, S. & Liu, H. (eds.). Singapore: Springer, Vol. 360. p. 33-60 28 p. (Springer Proceedings in Mathematics and Statistics; vol. 360).

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

  • A deep image prior learning algorithm for joint selective segmentation and registration

    Burrows, L., Chen, K. & Torella, F., 30 Apr 2021, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J. & Simon, L. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 12679. p. 411-422 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12679 LNCS).

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

  • 2020

    On new convolutional neural network based algorithms for selective segmentation of images

    Burrows, L., Chen, K. & Torella, F., 8 Jul 2020, Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings. Papiez, B. W., Namburete, A. I. L., Yaqub, M., Noble, J. A. & Yaqub, M. (eds.). Cham: Springer, p. 93-104 12 p. (Communications in Computer and Information Science; vol. 1248 CCIS).

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

    4 Citations (Scopus)
  • An Unsupervised Deep Learning Method for Diffeomorphic Mono-and Multi-modal Image Registration

    Theljani, A. & Chen, K., 24 Jan 2020, Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Cham: Springer, Vol. 1065. p. 317-326 10 p. (Communications in Computer and Information Science; vol. 1065 CCIS).

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

    4 Citations (Scopus)
  • A Variational Joint Segmentation and Registration Framework for Multimodal Images

    Ademaj, A., Rada, L., Ibrahim, M. & Chen, K., 24 Jan 2020, Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Cham: Springer, Vol. 1065. p. 305-316 12 p. (Communications in Computer and Information Science; vol. 1065 CCIS).

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

    2 Citations (Scopus)
  • Edge enhancement for image segmentation using a RKHS method

    Burrows, L., Guo, W., Chen, K. & Torella, F., 24 Jan 2020, Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Cham, Switzerland: Springer, p. 198-207 10 p. (Communications in Computer and Information Science; vol. 1065 CCIS).

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

    1 Citation (Scopus)
  • Preface

    Zheng, Y., Williams, B. M. & Chen, K., 24 Jan 2020, Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Cham, Switzerland: Springer, p. v-vi 2 p. (Communications in Computer and Information Science; vol. 1065).

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

  • 2016

    Global and local segmentation of images by geometry preserving variational models and their algorithms

    Spencer, J. & Chen, K., 2016, Forging Connections between Computational Mathematics and Computational Geometry - Papers from the 3rd International Conference on Computational Mathematics and Computational Geometry. Chen, K. & Ravindran, A. (eds.). Springer New York, p. 87-105 19 p. (Springer Proceedings in Mathematics and Statistics; vol. 124).

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

    1 Citation (Scopus)
  • 2014

    Efficient homotopy method for total variation image registration

    Zhang, J., Chen, K. & Yu, B., 19 Jun 2014, 2013 International Conference on Computer Sciences and Applications. Piscataway, NJ: IEEE, p. 655-658 4 p.

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

    1 Citation (Scopus)
  • 2013

    Selective variational image segmentation combined with registration: models and algorithms

    Chen, K., 25 Feb 2013, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA). Piscataway, NJ: IEEE, 4 p. 6469481. (International Conference on Image Processing Theory, Tools and Applications).

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

    1 Citation (Scopus)