Prof Timothy Cootes

Research Fellow

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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

No current projects are available for public display