Richard Leahy, Signal and Image Processing Institute,University of Southern California, USA

Lectures

  1. Image Estimation for Molecular Imaging 1: Statistical and physical models and Bayesian estimation
  2. Image Estimation for Molecular Imaging 2: Image analysis and detection
  3. Mapping brain function with magnetoencephalography (MEG) 1: forward models and inverse methods
  4. Mapping brain function with magnetoencephalography (MEG) 2: detecting and modeling cortical interactions and networks


Brief Biosketch

Richard Leahy is a Professor of Electrical Engineering, Biomedical Engineering and Radiology at the University of Southern California. He was Director of the USC Signal and Image Processing Institute from 1997 - 2003. Dr. Leahy is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and was general chair of the 2004 IEEE International Symposium on Biomedical Imaging (ISBI). He has published over 200 papers in the field of biomedical signal and image processing. His research interests lie in the application of signal and image processing theory to biomedical imaging problems. His research involves the development of methods for anatomical and functional imaging with applications in neuroimaging and molecular imaging using PET, MRI and EEG/MEG.