Edinburgh Research Explorer

Dr Chengjia Wang

Scientist in Machine Learning for Medical Imaging

  1. 2013
  2. Quantitative myocardial inflammation assessed using a novel USPIO-Magnetic Resonance Imaging acquisition and analysis protocol

    Semple, S., Alam, S. R., Macgillivray, T. J., Dweck, M. R., Shah, A. S., Richards, J., Wang, C., Lang, N., Mckillop, G., Mirsadraee, S., Pessotto, R., Zamvar, V., Henriksen, P. & Newby, D., 30 Jan 2013, In : Journal of Cardiovascular Magnetic Resonance. 15, Suppl 1, p. O114

    Research output: Contribution to journalArticle

  3. 2014
  4. 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

  5. A robust automated multi-modality registration tool applied to abdominal aortic aneurysm

    Wang, C., Koutraki, G., McBride, O., Vesey, A., Macgillivray, T., Gray, C., Newby, D., Goatman, K. & Semple, S., 2014, The International Society for Magnetic Resonance in Medicine (ISMRM).

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

  6. 2015
  7. Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture

    Sourgia-koutraki, G., McBride, O., Robson, J., Forsythe, R., Wang, C., MacGillivray, T., Gray, C., Goatman, K., Camilleri-Brennan, J., Newby, D. & Semple, S., 2015, In : Magnetic Resonance Materials in Physics, Biology and Medicine. 28, S1, p. s237-s238 2 p., 309.

    Research output: Contribution to journalMeeting abstract

  8. 2016
  9. 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

  10. 2017
  11. 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

  12. 2018
  13. 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

  14. 2019
  15. 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

  16. Distance Oriented Particle Swarm Optimizer for Brain Image Registration

    Wang, C., goatman, K., Boardman, J., Beveridge, E., Newby, D. & Semple, S., 29 Mar 2019, In : IEEE Access. 7, p. 56016 - 56027

    Research output: Contribution to journalArticle

  17. Multimodal cardiac segmentation using disentangled representations

    Chartsias, A., Papanastasiou, G., Wang, C., Stirrat, C., Semple, S., Newby, D., Dharmakumar, R. & Tsaftaris, S., 9 Aug 2019, (Accepted/In press) STACOM: Statistical Atlases and Computational Models of the Heart.. Springer

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

  18. Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

    Zhuang, X., Li, L., Payer, C., Štern, D., Urschler, M., Heinrich, M. P., Oster, J., Wang, C., Smedby, Ö., Bian, C., Yang, X., Heng, P-A., Mortazi, A., Bagci, U., Yang, G., Sun, C., Galisot, G., Ramel, J-Y., Brouard, T., Tong, Q. & 14 others, Si, W., Liao, X., Zeng, G., Shi, Z., Zheng, G., Wang, C., MacGillivray, T., Newby, D., Rhode, K., Ourselin, S., Mohiaddin, R., Keegan, J., Firmin, D. & Yang, G., Dec 2019, In : Medical image analysis. 58, p. 101537

    Research output: Contribution to journalArticle

  19. 2020
  20. 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