Tal Arbel

  MRI
Associate Professor
Centre for Intelligent Machines
McConnell Engineering Bldg., room 425
McGill University
3480 University Street,
Montreal, Quebec H3A 0E9
CANADA
email: <arbel AT cim DOT mcgill DOT ca>
Tel: (514) 398-8204, Fax: (514) 398-7348

Research Director of the Probabilistic Vision Group, and Electrical & Computer Engineering "Medical Imaging Lab"  
General Chair of the 2007 AI/GI/CRV/IS Conference  




Publications  

Presentations  

Research projects   

Probabilistic Vision Group

McGill Real-World Face Video Database Project

Teaching  

Student positions 

Student funding 

Useful links 
Research interests:

My research goals are to develop modern probabilistic techniques in computer vision and apply them to problems in medical imaging. For example, computer vision techniques based on Bayesian reasoning and information theory will be investigated in the domain of image-guided neurosurgery, which embeds problems in anatomical segmentation/classification, registration, movement tracking and classification.

Key topics of interest: object recognition, recognition based on motion signatures, active vision, active recognition, Bayesian inference, statistical models, statistical pattern recognition, information theory, image registration, face detection, as well as medical imaging, neurology and neurosurgery, including multi-modal image registration and tissue classification.  

Biographical information:

  • Education 
  • Awards 
  • Employment 

    Media:
  • MRI Headway: McGill Research Magazine  




  • MRI Bioengineering: McGill Engineering e-bulletin 



  • MRI Bioengineering Article in online eNewsletter  



  • Tal Arbel