1 code implementation • 24 Oct 2022 • David Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye
Mass Spectrometry Imaging (MSI), using traditional rectilinear scanning, takes hours to days for high spatial resolution acquisitions.
no code implementations • 31 Jan 2020 • Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye
Deep learning is a popular and powerful tool in computed tomography (CT) image processing such as organ segmentation, but its requirement of large training datasets remains a challenge.
no code implementations • 6 Jul 2018 • Dong Hye Ye, Gregery T. Buzzard, Max Ruby, Charles A. Bouman
Filtered back projection (FBP) is a classical method for image reconstruction from sinogram CT data.
no code implementations • 14 Mar 2017 • G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman
In each step of SLADS, the objective is to find the pixel that maximizes the expected reduction in distortion (ERD) given previous measurements.
no code implementations • 12 May 2016 • Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
In this paper, we present a novel Gaussian mixture Markov random field model (GM-MRF) that can be used as a very expressive prior model for inverse problems such as denoising and reconstruction.