Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Herve Lombaert
Also published under:H. Lombaert
Affiliation
ETS Montréal, Canada
Topic
Medical Imaging,Adversarial Approach,Brain Surface,Computer Vision,Dice Score,Euclidean Space,Graph Convolution,Graph Convolutional Network,Image Segmentation,Latent Space,Segmentation Task,Spectral Clustering,Stochastic Gradient Descent,3D Mesh,3D Parts,3D Shape,3D Shape Analysis,Adaptive Method,Adversarial Training,Alignment Process,Alignment Strategy,Artificial Neural Network,Attention Map,Attention Mechanism,Attention Module,Auxiliary Task,Average Overlap,Brain Aging,Brain Parcellation,Cerebrospinal Fluid,Class Activation Maps,Classification Network,Classification Task,Closest Point,Cluster Nodes,Clustering Performance,Computation Time,Constrained Optimization Problem,Constrained Problem,Contrastive Loss,Convolution Operation,Convolutional Layers,Convolutional Neural Network,Corresponding Points,Cortical Features,Deep Learning,Deep Learning Approaches,Deep Metric Learning,Deep Neural Network,Deep Neural Network Model,
Biography
Herve Lombaert received the PhD degree in computer engineering from the École Polytechnique de Montréal in 2012, in collaboration with Siemens Corporate Research (Princeton, New Jersey) and INRIA Sophia Antipolis- Méditerranée (France), and the engineering degree from the École Polytechnique de Montréal in 2003. He was a research associate at Siemens Corporate Research between 2004 and 2005, and is currently a postdoctoral fellow in the Centre for Intelligent Machine at McGill University, Canada. He is interested in finding structures in images, understanding correspondences between images, and extracting three-dimensional and four-dimensional (3D+t) information from images, with applications in brain and cardiac imaging. He is a student member of the IEEE.