Search Results for author: Eung Yeop Kim

Found 6 papers, 3 papers with code

Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning

no code implementations22 Jun 2023 Jun-Ho Kim, Young Noh, Haejoon Lee, Seul Lee, Woo-Ram Kim, Koung Mi Kang, Eung Yeop Kim, Mohammed A. Al-masni, Dong-Hyun Kim

The anatomical localization task does not only tell to which region the CMBs belong but also eliminate some FPs from the detection task by utilizing anatomical information.

Region Proposal

Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN

2 code implementations26 Nov 2020 Serin Yang, Eung Yeop Kim, Jong Chul Ye

We also show that the quality of generated images can be further improved if intermediate kernel domain images are available.

Computed Tomography (CT) Generative Adversarial Network

Exploring linearity of deep neural network trained QSM: QSMnet+

1 code implementation17 Sep 2019 Woojin Jung, Jaeyeon Yoon, Joon Yul Choi, Jae Myung Kim, Yoonho Nam, Eung Yeop Kim, Jong-Ho Lee

To overcome this limitation, a data augmentation method is proposed to generalize the network for a wider range of susceptibility.

Image and Video Processing

k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography

no code implementations3 Jun 2018 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).

Quantitative Susceptibility Mapping using Deep Neural Network: QSMnet

1 code implementation15 Mar 2018 Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgic, Jingu Lee, Woojin Jung, Jingyu Ko, Hosan Jung, Kawin Setsompop, Greg Zaharchuk, Eung Yeop Kim, John Pauly, Jong-Ho Lee

The QSMnet maps of the test dataset were compared with those from TKD and MEDI for image quality and consistency in multiple head orientations.

Image and Video Processing

Cannot find the paper you are looking for? You can Submit a new open access paper.