19 citations · 28 across the 3 of their papers we have counts for
6 papers
Multidimensional adaptive order GP-WENO via kernel-based reconstruction
Ian May, Dongwook Lee
This paper presents a fully multidimensional kernel-based reconstruction scheme for finite volume methods applied to systems of hyperbolic conservation laws, with a particular emph…
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
Dongwook Lee, Won-Jin Moon, Jong Chul Ye
Thanks to the recent success of generative adversarial network (GAN) for image synthesis, there are many exciting GAN approaches that successfully synthesize MR image contrast from…
CollaGAN : Collaborative GAN for Missing Image Data Imputation
Dongwook Lee, Junyoung Kim, Won-Jin Moon +1
In many applications requiring multiple inputs to obtain a desired output, if any of the input data is missing, it often introduces large amounts of bias. Although many techniques…
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks
Dongwook Lee, Jaejun Yoo, Sungho Tak +1
Accelerated magnetic resonance (MR) scan acquisition with compressed sensing (CS) and parallel imaging is a powerful method to reduce MR imaging scan time. However, many reconstruc…
Deep artifact learning for compressed sensing and parallel MRI
Dongwook Lee, Jaejun Yoo, Jong Chul Ye
Purpose: Compressed sensing MRI (CS-MRI) from single and parallel coils is one of the powerful ways to reduce the scan time of MR imaging with performance guarantee. However, the c…
A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix
Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye
Parallel MRI (pMRI) and compressed sensing MRI (CS-MRI) have been considered as two distinct reconstruction problems. Inspired by recent k-space interpolation methods, an annihilat…