Timothy Cootes

Timothy Cootes is a Research Professor at the University of Manchester's Division of Informatics, Imaging & Data Sciences. He holds an MSc teaching role in Mathematical Methods and has led projects like BoneFinder and ASPIRE™. His research focuses on statistical models for medical image analysis, facial interpretation, and musculoskeletal disease diagnosis.

Education:

• Bachelor's in Maths and Physics from Exeter University
• PhD in Civil Engineering (storm sewer overflow) from Sheffield City Polytechnic

Research Interests:

• Statistical shape/appearance models for medical imaging
• Machine learning applications in osteoporosis/osteoarthritis analysis
• Facial feature tracking and recognition systems
• Groupwise image registration techniques

Awards:

• 2015 ISBI Grand Challenges Prize
• 2010 IAPR Fellowship
• 2023 Highly Commended Oral Presentation

Collaborations:

• Dr. Paul Bromiley (medical imaging)
• Dr. Claudia Linder (musculoskeletal projects)
• Dr. Adrian Davison (facial recognition)

Key Impacts:

• Developed Active Appearance Models (AAMs) for facial recognition
• Co-created BoneFinder automated bone analysis software
• Contributed to global osteoarthritis risk assessment frameworks