I am a Ph.D. candidate in Electrical and Computer Engineering in the Department of Electrical Engineering and Computer Science at the University of Michigan, advised by Prof. Jeffrey A. Fessler and Prof. Heang-Ping Chan. I am working on improving the image quality and cancer diagnosis of digital breast tomosynthesis (DBT) through model-based reconstruction, denoising and signal enhancement.
My major study area is signal & image processing and machine learning. My research interests include medical imaging, image reconstruction, inverse problems, optimization, and deep learning.
M. Gao, J. A. Fessler, and H.-P. Chan, in RSNA Scientific Assembly and Annual Meeting, 2021. Slides
M. Gao, J. A. Fessler, and H.-P. Chan, in RSNA Scientific Assembly and Annual Meeting, 2020. Slides
S. T. Whitaker, G. Nataraj, M. Gao, J.-F. Nielsen, and J. A. Fessler, in Proceedings of ISMRM Annual Conference, 2019. Paper
G. Nataraj, M. Gao, J.-F. Nielsen, and J. A. Fessler, in ISMRM Workshop on Machine Learning Part II, 2018 (2nd-place poster award).
Page updated May 8, 2022