Mediators of the predictive relationship between a self-report measure of central mechanisms and future knee pain outcomes in the knee pain in the community (KPIC) cohort
(2020)
Conference Proceeding
Matthews, R., Akin-Akinyosoye, K., Frowd, N., Swaithes, L., Stocks, J., Sarmanova, A., …Walsh, D. A. (2020). Mediators of the predictive relationship between a self-report measure of central mechanisms and future knee pain outcomes in the knee pain in the community (KPIC) cohort.
All Outputs (4)
Pain distant from the index site and sensitization in people with knee pain and low back pain (2020)
Conference Proceeding
Akin-Akinyosoye, K., Georgopoulos, V., Frowd, N., Swaithes, L., Stocks, J., Fernandes, G. S., …Walsh, D. (2020). Pain distant from the index site and sensitization in people with knee pain and low back pain.
Move-It ???: Digital worksite exercise in China - outcome and process evaluation (2019)
Conference Proceeding
Blake, H., Lai, B., Houdmont, J., & Griffiths, A. (2019). Move-It ???: Digital worksite exercise in China - outcome and process evaluation. In 5th International Clinical Trials Methodology Conference (ICTMC 2019) Book of Abstracts
Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images (2018)
Conference Proceeding
Bukenya, F., Awwad, A., Duan, J., Ehling, J., Faas, H., & Bai, L. (2018). Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (1508-1514). https://doi.org/10.1109/SSCI.2018.8628675Blood vessel segmentation helps to know the progress of the disease during diagnosis. The presence of intensity in-homogeneity, conglutination tissue and noise in medical images has led to difficulty in extraction of different sizes of blood vessels,... Read More about Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images.