7 citations · 10 across the 3 of their papers we have counts for
4 papers
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN
Serin Yang, Eung Yeop Kim, Jong Chul Ye
X-ray computed tomography (CT) uses different filter kernels to highlight different structures. Since the raw sinogram data is usually removed after the reconstruction, in case the…
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution
Eunju Cha, Hyungjin Chung, Eung Yeop Kim +1
Time-resolved MR angiography (tMRA) has been widely used for dynamic contrast enhanced MRI (DCE-MRI) due to its highly accelerated acquisition. In tMRA, the periphery of the k-spac…
Exploring linearity of deep neural network trained QSM: QSMnet+
Woojin Jung, Jaeyeon Yoon, Joon Yul Choi +4
Recently, deep neural network-powered quantitative susceptibility mapping (QSM), QSMnet, successfully performed ill conditioned dipole inversion in QSM and generated high-quality s…
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography
Eunju Cha, Eung Yeop Kim, Jong Chul Ye
Time-resolved angiography with interleaved stochastic trajectories (TWIST) has been widely used for dynamic contrast enhanced MRI (DCE-MRI). To achieve highly accelerated acquisiti…