no code implementations • 4 Mar 2019 • Hyoung Suk Park, Jineon Baek, Sun Kyoung You, Jae Kyu Choi, Jin Keun Seo
This paper proposes a deep learning-based denoising method for noisy low-dose computerized tomography (CT) images in the absence of paired training data.
no code implementations • 31 May 2018 • Chenglong Bao, Jae Kyu Choi, Bin Dong
Quantitative susceptibility mapping (QSM) aims to visualize the three dimensional susceptibility distribution by solving the field-to-source inverse problem using the phase data in magnetic resonance signal.
no code implementations • 25 Jan 2017 • Jae Kyu Choi, Bin Dong, Xiaoqun Zhang
Wavelet frame systems are known to be effective in capturing singularities from noisy and degraded images.