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Photo by Eva Blue


Professor, Dept. of Electrical and Computer Engineering


Member of the McGill Centre for Intelligent Machines


Research Director of the Probabilistic Vision Group, and Electrical & Computer Engineering "Medical Imaging Lab"


Associate Member of MILA


Academic Member of the NSERC CREATE-MIA (Interim Director 2015-2016)


Member of the Ordre des ingenieurs du Quebec


P.Eng.



Research Interests


My research goals are to develop new probabilistic machine learning frameworks in computer vision and in medical imaging, particularly in the context of neurology and neurosurgery. Recent work has focused on the development of probabilistic graphical models for pathology (lesion, tumour) detection and segmentation in large, multi-center patient images dataset, on automatically identifying imaging biomarkers that predict disease progression in patients as well as potential responders to treatment. I have worked extensively on developing fast and efficient multi-modal image registration techniques for clinical interventions, such as image-guided neurosurgery. Recent research led to new frameworks to learn how cortical folding patterns on the surface of the brain vary over the population.

Key topics of interest: Bayesian inference, statistical models, statistical pattern recognition, information theory, face detection and trait classification, medical image analysis, neurology and neurosurgery, including multi-modal image registration and lesion and tumour, detection, segmentation, classification and prediction.

Various Community Activities


  • Scientific Advisory Board Member Member, Montreal AI Symposium (MAIS) 2019-2021.
  • Organizing Team Member, Medical Imaging With Deep Learning (MIDL) Conference 2020.
  • Invited Keynote Speaker, 2018 Workshop on Medical Imaging Meets NeurIPS, "Is Your Machine Learning Method Solving a Real Clinical Problem?", Montreal, Quebec, Canada, 2018.
  • Area Chair, International Conference on Computer Vision (ICCV) 2019.
  • Invited Keynote Speaker, 2018 MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, "Challenging Conventional Segmentation Evaluation Metrics for Focal Pathology (Lesion and Tumour) Segmentation from Patient Images", Granada, Spain, 2018. Link to slides.
  • Invited Opening Keynote Speaker, 2018 Winter Applied Computer Vision (WACV) Conference, "Probabilistic Machine Learning for Lesion and Tumour Detection, Segmentation and and Disease Prediction in Patient Brain Images", Lake Tahoe, CA, 2018. Link to presentation.
  • Local Industry Sponsorship Chair, International Conference on Computer Vision (ICCV) 2021
  • Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Editorial Board Member, Computer Vision and Image Understanding (CVIU)
  • Satellite Events Chair, International Conference on Medical Image Computing and Computer Aided Intervention (MICCAI), Quebec, Canada, 2017.
  • Program Committee Member, 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.
  • Area Chair, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2014, 2016.
  • Invited Presenter, First Amazon Faculty Invitational Research Symposium, May 4-5, 2015, Seattle, WA, USA.
  • Invited Speaker, International Symposium on Biomedical Imaging (ISBI) 2015: "Special Session on Current Challenges and Methodological Advances in Medical Image Registration, Brooklyn, New York, 2015.
  • Workshop Co-organizer, "BAMBI: Bayesian and grAphical Models for Biomedical Imaging Workshop", Workshop held in conjunction with The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Munich, Germany, October, 2015.
  • Guest Editor, Computer Vision and Image Understanding (CVIU): "Special Issue on Probabilistic Models for Biomedical Image Analysis"
  • Session Chair, Session on "Segmentation and Grouping", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  • Workshop Co-organizer, "BAMBI: Bayesian and grAphical Models for Biomedical Imaging Workshop", Workshop held in conjunction with The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), MIT, Cambridge, MA, USA, September 2014.
  • General Chair, the joint 20th Canadian Conference on Artifical Intelligence, the 33rd Graphics Interface Conference, the 4th Canadian Conference on Computer and Robot Vision, and the 17th Annual Canadian Conference on Intelligent Systems, May 2007.
  • Member of conference program committees (reviewer): Conference on Medical Image Computing Computer Aided Intervention (MICCAI), IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), European Conference on Computer Vision (ECCV), Canadian Conference on Computer Vision (CRV), International Conference on Pattern Recognition (ICPR), and others.
  • Outstanding Reviewer Award , CVPR 2013: 26th IEEE Conference on Computer Vision and Pattern Recognition.

  • Media

    Recent McGill Reporter article

    MICCAI 2018 Daily News

    Computer Vision News
    McGill Alumni Magazine
    YesMontreal
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