I work on developing image processing software for segmentation, super-resolution and registration that should be applied to hospital grade brain scans. The framework I use involves modelling the observed data in a statistical setting, defining a forward model, data likelihood and prior. This type of modelling have previously been shown to generalise well to handle a wide distribution of healthy neuroimaging data. The idea is that it should also be a good candidate to deal with its more heterogenic counterpart – images that can be found in hosptial databases.
Brudfors, M., Balbastre, Y., Flandin, G., Nachev, P. and Ashburner, J., 2020. arXiv preprint arXiv:2006.02338.
Brudfors, M., Balbastre, Y. and Ashburner, J., 2019. In International Conference on Information Processing in Medical Imaging (pp. 805-817). Springer, Cham.
Brudfors, M., Ashburner, J., Nachev, P. and Balbastre, Y., 2019, October. In International Workshop on Simulation and Synthesis in Medical Imaging (pp. 1-12). Springer, Cham.
Brudfors, M., Balbastre, Y., Nachev, P. and Ashburner, J., 2018, July. In Annual Conference on Medical Image Understanding and Analysis (pp. 217-228). Springer, Cham.