Portrait of Hervé Lombaert

Hervé Lombaert

Associate Academic Member
Associate Professor, Polytechnique Montréal, Department of Computer Engineering Department
Research Topics
Computer Vision
Learning on Graphs
Medical Machine Learning

Biography

Hervé Lombaert is an associate professor in the Computer Engineering Department at Polytechnique Montréal, and 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 impacted several applications in medical imaging, from early image segmentation with graph-cuts to recent surface analysis with spectral graph theory.

Lombaert has authored over seventy papers, holds five patents and has earned several awards, including the IPMI Erbsmann Prize. His students have also received best thesis awards with impactful publications in medical image computing. He is on the editorial board of Medical Image Analysis. He has also worked in a number of other research centres, including the INRIA Sophia-Antipolis (France), Microsoft Research (Cambridge, U.K.), Siemens Corporate Research (Princeton, NJ) and McGill University.

Current Students

PhD - Polytechnique Montréal
PhD - Polytechnique Montréal
PhD - Polytechnique Montréal
Principal supervisor :
PhD - École de technologie suprérieure
PhD - Polytechnique Montréal

Publications

Preface
Ismail Ben Ayed
Marleen de Bruijne
Maxime Descoteaux
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track
Ismail Ben Ayed
Marleen de Bruijne
Maxime Descoteaux
This compendium gathers all the accepted extended abstracts from the Third International Conference on Medical Imaging with Deep Learning (M… (see more)IDL 2020), held in Montreal, Canada, 6-9 July 2020. Note that only accepted extended abstracts are listed here, the Proceedings of the MIDL 2020 Full Paper Track are published in the Proceedings of Machine Learning Research (PMLR).