1 code implementation • 4 Feb 2021 • Juhung Park, Woojin Jung, Eun-Jung Choi, Se-Hong Oh, Dongmyung Shin, Hongjun An, Jongho Lee
In this study, a new deep neural network, referred to as DIFFnet, is developed to function as a generalized reconstruction tool of the diffusion-weighted signals for various gradient schemes and b-values.
no code implementations • 19 Jul 2020 • Hongjun An, Hyeong-Geol Shin, Sooyoen Ji, Woojin Jung, SeHong Oh, Dongmyung Shin, Juhyung Park, Jongho Lee
DeepResp is designed to extract the respiration-induced phase errors from a complex image using deep neural networks.
Image and Video Processing
1 code implementation • 17 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
1 code implementation • 15 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
