Maxime Boucher's Home Page

I have moved. Since July 2011, I work at Facebook.

I am a soon to graduate Ph.D. from the School of Computer Science at McGill University. My thesis is on surface analysis in the greater context of medical shape analysis under the co-supervision of Alan Evans and Kaleem Siddiqi.

I hold an Engineering Degree in Applied Mathematics and Computer Science at Ecole Polytechnique (Paris) where I graduated in August 2004.

In summer 2004, I did a research internship at the Laboratory of Mathematics in Imaging affiliated with Harvard Medical School where I worked on Regularization of Fiber Tractography in DT-MRI.

Research Interests:

• Differential Geometry and Scale Space
• Multivariate Statistics and Gaussian Random Field Models
• Computer Vision
• Brain Shape Analysis

Journal Articles:

• Maxime Boucher, Sue Whitesides, Alan Evans, Depth potential function for folding pattern representation, registration and analysis, Medical Image Analysis, 2008.
• Oliver Lyttelton, Maxime Boucher, Steven Robbins, Alan Evans, An unbiased iterative group registration template for cortical surface analysis, Neuroimage. 2006 Dec 22.

Conference Papers:

• Maxime Boucher, Alan Evans, Kaleem Siddiqi, Anisotropic Diffusion of Tensor Fields for Fold Shape Analysis on Surfaces, Proceedings of Information Processing in Medical Imaging, 2011.
• Maxime Boucher, Alan Evans, Kaleem Siddiqi, A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex, Proceedings of MICCAI workshop on Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging, 2010.
• Maxime Boucher, Alan Evans, Kaleem Siddiqi, Oriented Morphometry of Folds on Surfaces, Proceedings of Information Processing in Medical Imaging, 2009.
• Maxime Boucher, Alan Evans, Dealing With Uncertainty in the Principal Direction of Tensors, Mathematical Methods in Biomedical Image Analysis 2008.
• Maxime Boucher, Oliver Lyttelton, Sue Whitesides, Alan Evans, A Discrete Differential Operator for Direction-Based Surface Morphometry, International Conference on Computer Vision, 2007.

Conference Abstracts:

• KJ Worsley, JE Taylor, F Carbonell, MK Chung, E Duerden, B Bernhardt, O Lyttelton, M Boucher, AC Evans, SurfStat: A Matlab toolbox for the statistical analysis of univariate and multivariate surface and volumetric data using linear mixed effects models and random field theory, Human Brain Mapping Conference, June 2009.
• Maxime Boucher, Oliver Lyttelton, Sue Whitesides, Alan Evans, Multivariate Deformation-Based Morphometry Statistics of Cortical Surfaces Reveals Changes in Folding Frequency Correlated with Alzheimer's Disease, Human Brain Mapping Conference, June 2008.
• Maxime Boucher, Sue Whitesides, Alan Evans, Continuous Sulcal Depth Differences and Cortical Asymetry Detected Using a Novel Depth Potential Function Based on Poisson's Equation, Human Brain Mapping Conference, June 2007.
• Maxime Boucher, Alan Evans, Multi-Scale Cortical Surface Representation using Normal Meshes, Human Brain Mapping Conference, June 2006.

Oral Presentations:

• Depth Potentials and Brain Surface Analysis at INRIA Sophia-Antipolis, France (November 2008)
• Locally Adaptative Depth Potentials at University of Technology, Eindhoven (November 2008)
• Directional Deformation-based Morphometry

• Surface Representation using a Partial Differential Equation and Quantitative Folding Depth Analysis

  • Perception Seminar (Center for Intelligent Machines, McGill University, Canada)
  • Data Analysis Working Group (Brain Imaging Center, McGill University, Canada)
  • Alice's Presentation (LORIA, Lorraine, France)
• On Scale Space Analysis and Feature Detection
• Hi-Tech Imaging of the Living Brain

Graduate Courses Followed

• McGill:

  • COMP-690 Probabilistic Analysis of Algorithms
  • COMP-646 Computation Perception
  • COMP-642 Numerical Estimation
  • COMP-644 Pattern Recognition
  • COMP-557 Fundamentals of Computer Graphics
  • MATH-577 Geometry and Topology 2
  • MATH-671 Applied Stochastic Processes (audited)
  • PSYC-532 Cognitive Science

• Ecole Polytechnique Montreal:

  • GBM-6118 Medical Imaging
  • IFT-6141 Shape Recognition
  • GBM-3000 Human Physiology
  • GBM-6103 Medical Applications of Computer Science

• Ecole Polytechnique Paris:

  • INF-583 Image Synthesis and Animation Techniques
  • INF-562 Computational Geometry
  • MAP-555 Signal Treatment
  • INF-559 Computer Architecture
  • INF-554 Programing Language
  • INF-570 Operating Systems
  • INF-550 Design and Analysis of Algorithms
  • INF-560 Distributed and Parallel Computing

Educational Info:

• PhD Student in Computer Science, McGill University, 2007-present
• Master Student in Computer Science, McGill University, 2005-2006
• Student in Applied Mathematics and Computer Science, Ecole Polytechnique (Paris), 2002-2004
• Bachelor Student in Computer Engineering, Ecole Polytechnique de Montréal, 2000-2002

Teaching Assistant

• Computer Graphics (Fall 2009)
• Computer Vision (Fall 2008)

Contact Information:

McConnell Brain Imaging Center, Rm WB214b
McGill University
Montreal, Canada
Tel: +1 514-398-6447
email: boucher at bic.mni.mcgill.ca

Other Stuff

• My Running Time History:

  • 1h46:44.8 21.1 km Montreal September 2006
  • 1h49:01.2 21.1 km Montreal April 2007
  • 1h40:51.5 21.1 km Ottawa May 2007
  • Unofficial time at MJGH Fundraising campaign for cancer: 47:51, 6th overall, 5th men! (june 2007)
  • 1h36:43.6 21.1 km Toronto Waterfront September 2007
  • 1h48:54.9 21.1 km Montreal September 2008
  • 42:29 10km Jeux de Sophia Antipolis Mai 2009
  • 3h17:47 Toronto Marathon October 2009