Researcher

Title

Assistant Professor, Department of Computer Engineering, École Polytechnique de Montréal, Université de Montréal

• Post-doctorate: École Centrale de Paris – INRIA Saclay Ile-de-France, 2010
• Ph.D.: École Polytechnique de Montréal, 2008
• M.Eng.: McGill University, 2005
• B.Ing.: École Polytechnique de Montréal, 2002

Samuel Kadoury is assistant professor of biomedical engineering at Polytechnique Montréal and researcher at the CHU Sainte-Justine hospital research center, Montréal, Canada. He is the chairholder of the Canada Research Chair in Medical Imaging and Assisted Interventions and has published over 50 papers (with approx. 500 citations) in leading journals and conferences. He completed his post-doc at Ecole Centrale de Paris and worked as a clinical research scientist for Philips Research at the National Institutes of Health (Bethesda, MD) from 2010 to 2012.

His expertise lies in medical image processing, machine learning, multimodal fusion, computer vision and computer assisted interventions. His research interests lies in the development of novel computational methodologies and software tools for the analysis and processing of diagnostic and interventional images. His research activities are focused on proposing new technologies in image registration (temporal, mono and multimodality), segmentation, organ atlas conception, statistical shape modeling, classification, and minimally invasive treatments, which are validated through clinical trials, both with adult and paediatric populations.

• Medical imaging
• Interventional guidance systems,
• Multimodal image fusion
• Surgical navigation
• Statistical organ modeling
• Image segmentation and registration
• Machine learning
• Computer vision

Awards and Distinctions

• 2013: Best paper award for Classification of spinal deformities using a parametric torsion estimator, MICCAI CSI workshop, Nagoya, Japan
• 2011: NIH Merit Award - Prostate Cancer Group, National Institutes of Health, Bethesda, USA
• 2009: Award for Best Doctoral Dissertation, École Polytechnique de Montréal

Presentations

• 2013: MICCAI conference, Workshop on computational spine imaging, Nagoya, Japan
• 2012: MICCAI conference, Workshop on machine learning in medical imaging, Nice, France
• 2011: CHU Sainte-Justine Hospital Research Center, Montreal, Canada
• 2011: MICCAI conference, Session on manifold learning, Toronto, Canada
• 2009: University College London, CMIC, London, UK