Edinburgh Research Explorer

Chengjia Wang

Scientist in Machine Learning for Medical Imaging

  1. 2020
  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. 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

  4. 2019
  5. 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

  6. 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

  7. 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

  8. 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

  9. 2018
  10. 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

  11. 2017
  12. 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

  13. 2016
  14. 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

  15. 2015
  16. 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

  17. 2014
  18. 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

  19. 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

  20. 2013
  21. 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