A key focus of our laboratory is on the development of fully automated computational-anatomy tools for the early detection of Alzheimer's disease. Towards this challenging goal, we develop various method through the spectrum of medical image analysis starting from organ segmentation, accurate registration, feature extraction methods and machine learning tools. The above picture shows a comparison of novel T1-MRI based networks we have constructed to help build new covariance features which show promise for the early detection of Alzheimer's disease. Please visit pages in the Research section to learn more about our research.