Imaging and data integration

Find out more about the projects that are part of this theme.

Theme leads

Maths lead: Prof K Chen 
Health and Life Sciences lead: Dr V See

Within the healthcare communities, there exist vast amounts of big data from myriad sources (patient records, imaging and/or sensor data, genomics/proteomics/metabolomics data, social media information, nutrition etc.). There is an urgent need to develop mathematical science tools and techniques that are capable of seamless integration of data from these sources. In turn, the integration of such diverse datasets may provide an opportunity to make significant advances in Healthcare modelling.

Project 1 - Novel 3D variational segmentation

Project 2 - Clinical imaging models to predict tumour metastasis

Project 3 - Biomarkers design and selection

Hyper-spectral imaging and accurate organ identification

Project 1 - Hyper-spectral imaging and accurate organ identification

One to one mapping of shapes and objects in images

Project 2 - One to one mapping of shapes and objects in images

Development of bio-markers for images of the eye

Project 3 - Development of bio-markers for images of the eye

Back to: Department of Mathematical Sciences