Teaching

McGill University

Lecture: Local Features (SIFT-Rank) and Kernel Density Estimation

Concordia University

Lecture: Medical Image Analysis in the Age of Big Data

Massachusetts Institute of Technology: HST 582 Biomedical Signal and Image Processing

Lecture 1: Image Segmentation
Lecture Notes

McGill University: ESCE 626 Statistical Methods in Computer Vision

Lecture 1: Modeling Appearance in Image Sets

Lecture 2: Scale-invariant Features: Extraction and Matching

Lecture 3: Detecting 3D Objects from Arbitrary Viewpoints

Harvard Medical School: National Alliance for Medical Image Computing (NAMIC)

Workshop Session 2012: Difficult Image Registration
Challenge data

Workshop Session 2008: MR-US Image Registration for Image-Guided Therapy.