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Research interests and affiliations

Research interests
  • Medical Image Analysis
  • Shape Analysis
  • Computer Vision
  • Machine Learning
Expertise type(s) (NSERC subjects)
  • 2603 Computer vision
  • 2605 Pattern analysis and machine intelligence
  • 2800 ARTIFICIAL INTELLIGENCE (Computer Vision, use 2603)


Recent publications


Hervé Lombaert is an Associate Professor of Computer Engineering, formaly at Inria in France and ETS with the Canada Research Chair in Shape Analysis in Medical Imaging. His research focuses on the statistics and analysis of shapes in the context of machine learning and medical imaging. His work on graph analysis has prompted impact in several applications in medical imaging, from early image segmentation with graph-cuts to recent surface analysis with spectral graph theory.

Hervé has authored over 80 papers, 5 patents, and earned several awards, including the IPMI Erbsmann Prize, one of the most prestigeous award in medical image analysis. His students have also received Best Thesis Awards with impactful publications in computer vision and medical image computing. He is on the Editorial Board of the journals IEEE Transactions on Medical Imaging and Elsevier Medical Image Analysis. He also had the chance to work in multiple centers, including Inria Sophia-Antipolis (France), Microsoft Research (Cambridge, UK), Siemens Corporate Research (Princeton, NJ), McGill University (Canada), and Polytechnique Montreal (Canada).

Open PhD positions:


  • Postdoc, Microsoft Research–Inria
  • PhD, École Polytechnique de Montreal
  • BEng, École Polytechnique de Montréal