Gregory Ongie won the best student paper award at the International Symposium on Biomedical Imaging: From Nano to Macro, April 16-19, 2015, a premier conference on the theory and algorithms for acquisition and post-processing of biomedical images. The title of Greg's paper is Super-resolution MRI Using Finite Rate of Innovation Curves, and the paper is co-authored with his thesis advisor, Professor Mathews Jacob of the Department of Electrical and Computer Engineering.
Tuesday, April 21, 2015