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Tal Arbel

Tal Arbel

Appointment

  • Canada CIFAR AI Chair

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Mila

About

Affiliations:
Associate Faculty Member, Mila; Professor, Dept. of Electrical and Computer Engineering, McGill University

Expertise:
Computer vision, deep learning, machine learning for medical image analysis, image analysis of neurological disease, multiple sclerosis, precision medicine, translational machine learning for health research

Major Contributions/Awards:
Pioneering work in the development of new machine learning approaches for medical image analysis, particularly in the context of clinical trial analysis for multiple sclerosis; Among top 10 papers chosen for Special Issue of the International Conference on Medical Image Computing and Computer Assisted Interventions (2019); Co-Investigator (Machine Learning Lead), International Progressive MS Alliance network grant (2016); 2nd Place Longitudinal MS Lesion Segmentation Challenge (2015); NSERC Discovery Accelerator Supplement Award (2010-2013); NSERC University Faculty Award (2001, 2005)

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CIFAR is a registered charitable organization supported by the governments of Canada, Alberta, Ontario, and Quebec as well as foundations, individuals, corporations, and international partner organizations.

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