Organisation:
University of Glasgow
Department:
School of Mathematics and Statistics
Homepage:
Interests:
My research interests are in the area of uncertainty quantification of AI algorithms for Medical image analysis, the theory and geometry of mixture models and functional data analysis. I am especially interested in challenges presented by “large magnitude”, both in the dimension of data vectors and in the number of vector. Core areas of methodological research include multivariate mixtures, structural equations models, high-dimensional clustering and functional clustering. Key collaborative activities involve projects in medical image segmentation, immunology and modeling of climate-ecosystem dynamics.
Research Themes:
Probabilistic Deep Learning
Multi-modal Medical Imaging
Key Publications:
- Mamalakis, M., Swift, A. J., Vorselaars, B., Ray, S. , Weeks, S., Ding, W., Clayton, R. H., Mackenzie, L. S. and Banerjee, A. (2021) DenResCov-19: a deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Computerized Medical Imaging and Graphics, 94, 102008. (doi: 10.1016/j.compmedimag.2021.102008) (PMCID:PMC8539634)
- Zhang, W. and Ray, S. (2022) Kernel Smoothing-based Probability Contours for Tumour Segmentation. 26th UK Conference on Medical Image Understanding and Analysis (MIUA 2022), University of Cambridge, 27-29 July 2022.
- Zhang, W. and Ray, S. (2022) Kernel Smoothing-based Probability Contours for Tumour Segmentation. Classification and Data Science in Digital Age – 17th Conference of the International Federation of Classification Society (IFCS 2022), Porto, Portugal, 19-23 July 2022.
- Ray, S. (2019) Analysis of PET Imaging for Tumor Delineation. 11th SINAPSE Annual Scientific Meeting, Dundee, UK, 21 Jun 2019.
- Levy, J. H., Reinhardt, J. M., Broadhurst, R. E., Ray, S. , Chaney, E. L. and Pizer, S. M. (2007) Signaling local non-credibility in an automatic segmentation pipeline. In: Medical Imaging 2007: Image Processing, San Diego, CA, USA, 17-22 Feb 2007, (doi: 10.1117/12.709015)
- Jeong, J., Pizer, S.M. and Ray, S. (2006) Statistics on anatomic objects reflecting inter-object relations. In: 1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, Copenhagen, 1 Oct 2006, pp. 136-145.