Search Results for author: Jaeyeon Yoon

Found 3 papers, 2 papers with code

Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning

no code implementations30 Sep 2019 Daniel Polak, Itthi Chatnuntawech, Jaeyeon Yoon, Siddharth Srinivasan Iyer, Jong-Ho Lee, Peter Bachert, Elfar Adalsteinsson, Kawin Setsompop, Berkin Bilgic

We propose Nonlinear Dipole Inversion (NDI) for high-quality Quantitative Susceptibility Mapping (QSM) without regularization tuning, while matching the image quality of state-of-the-art reconstruction techniques.

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

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.