CardiacA.I.: Machine learning for the analysis of multimodal cardiac MR images used in the diagnosis of coronary heart disease

Project Details

StatusFinished
Effective start/end date1/09/1731/01/19

Funding

  • EPSRC: £116,397.00
  • Multimodal MR Synthesis via Modality-Invariant Latent Representation

    Chartsias, A., Joyce, T., Giuffrida, M. V. & Tsaftaris, S., Mar 2018, In: IEEE Transactions on Medical Imaging. 37, 3, p. 803-814

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
  • Adversarial Image Synthesis for Unpaired Multi-Modal Cardiac Data

    Chartsias, A., Joyce, T., Dharmakumar, R. & Tsaftaris, S. A., 26 Sep 2017, Simulation and Synthesis in Medical Imaging: Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings. Tsaftaris, S., Gooya, A., Frangi, A. & Prince, J. (eds.). 1 ed. Springer International Publishing, Vol. 10557. p. 3-13 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10557 LNCS).

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

    Open Access
    File
  • Robust Multi-Modal MR Image Synthesis

    Joyce, T., Chartsias, A. & Tsaftaris, S., 4 Sep 2017, Medical Image Computing and Computer-Assisted Intervention-MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Springer-Verlag, p. 347-355 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

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

    Open Access
    File