Prof Timothy Cootes
Professor
Research interests
Medical Image Analysis using Statistical Models
Using statistical shape and appearance models, and machine learning methods, to locate and measure structures in medical images.
Musculoskeletal Applications
Analysing the shape and appearance of bones and joints in medical images in order to diagnose and monitor diseases such as osteoporosis and osteoarthritis.
Facial Image Analysis
Using statistical models to locate and track facial features in images and videos, and to estimate the identity or activity of the person.
Groupwise Image Registration
Methods of finding corresponding points and structures in large groups of images, so that we can automatically construct statistical models to learn about the common structures and variation inherent in the data.
Methodological knowledge
Computer Vision
Medical Image Analysis
Statistical Models of Appearance
Groupwise Image Registration
Facial Image Interpretation
Projects
Research and projects
Imagining Dynamical Brain Networks Using Hybrid Dynamical Models.
Trujillo-Barreto, N., Cootes, T., El-Deredy, W., Lambon Ralph, M. & Parker, G.
1/01/16 → 31/12/18
Project: Research
GLOBAL- Manchester Image Reconstruction and ANalysis (MIRAN): Step jumps in imaging by Global Exchange of user pull and method push
Lionheart, W., Cootes, T., Dorn, O., Gray, J., Grieve, B., Haigh, S., Harris, D., Hollis, C., Matthews, J., Mccann, H., Parker, G., Villegas Velasquez, R. & Withers, P.
1/04/12 → 31/03/13
Project: Research