Edinburgh Research Explorer

Chengjia Wang

Scientist in Machine Learning for Medical Imaging

  1. Data-driven gross patient motion detection and compensation: Implications for coronary 18F-NaF PET imaging

    Lyngby Lassen, M., Kwiecinski, J., Cadet, S., Dey, D., Wang, C., Dweck, M., Newby, D., Berman, D. & Slomka, P. J., 15 Nov 2018, In : Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

    Research output: Contribution to journalArticle

  2. Tri-modal imaging of gold-dotted magnetic nanoparticles (Au*MNPs) for magnetic resonance imaging (MRI), computerised tomography (CT) and intravascular ultrasound (IVUS): an in vitro study

    Kuhn, J., Papanastasiou, G., Tai, C-W., Moran, C. M., Jansen, M., Tavares, A. A. S., Lennen, R. J., Alcaide-corral, C. J., Wang, C., Thomson, A. J. W., Berry, C. C. & Yiu, H. H. P., 11 Sep 2020, In : Nanomedicine.

    Research output: Contribution to journalArticle

  3. 3D Visualisation of ‘Hotspots’ of Inflammation in Abdominal Aortic Aneurysms (AAA)

    Koutraki, G. S., Wang, C., McBride, O., MacGillivray, T. J., Gray, C. D., Newby, D. E. & Semple, S. I. K., 2014, SINAPSE Annual Scientific Meeting.

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

  4. Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling

    Jiang, H., Wang, C., Chartsias, A. & Tsaftaris, S., 6 Aug 2020, (Accepted/In press) Lecture Notes in Computer Science (LNCS) . Springer

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

  5. Monitoring the biological activity of abdominal aortic aneurysms: beyond ultrasound

    Forsythe, R., McBride, O., Semple, S., Gray, C., MacGillivray, T., Dweck, M., Vesey, A., Wang, C., Sourgia-koutraki, G., Fletcher, A. M., van Beek, E., Weir, G. J., McKillop, G., Graham, C., Murray, G., Robson, J. & Newby, D., 2016.

    Research output: Contribution to conferenceAbstract

  6. Magnetic Resonance Imaging Using Ultrasmall Superparamagnetic Particles of Iron Oxide in Patients Under Surveillance for Abdominal Aortic Aneurysms to Predict Rupture or Surgical Repair: The MA3RS Study

    Forsythe, R. O., McBride, O., Robson, J., Vesey, A., Chalmers, R., Burns, P., Garden, O. J., Robson, J., Semple, S., R.Dweck, M., Gray, C., MacGillivray, T., Wang, C., Koutraki, Y. G., Mitchard, N., Cooper, A., van Beek, E., McKillop, G., Ho, W., Fraser, L. & 12 others, Cuthbert, H., Hoskins, P., Doyle, B., Conlisk, N., Stuart, W., Berry, C., Roditi, G., Murdoch, L., Holdsworth, R., Scott, E., Newby, D. & MA3RS Study Investigators, T. MARS. S., 1 Jun 2017, In : Journal of Vascular Surgery. 65, 6, p. 35S

    Research output: Contribution to journalMeeting abstract

  7. Multimodal cardiac segmentation using disentangled representation learning

    Chartsias, A., Papanastasiou, G., Wang, C., Stirrat, C., Semple, S., Newby, D., Dharmakumar, R. & Tsaftaris, S., 2019.

    Research output: Contribution to conferencePaper