Sparse Dimensionality Reduction for Medical Imaging

The complex and high-dimensional nature of medical images makes them difficult to incorporate into traditional linear model-based statistical analysis.  One way of simplifying analysis of medical images is to use a dimensionality reduction technique.  We designed a dimensionality reduction technique … Continue reading


We have been developing a framework to incorporate ITK and ANTs-based image processing methods into the R programming language to allow for interactive statistical analysis of medical images.  R provides the most complete and current selection of statistical tools, including … Continue reading