Login / Signup
Gyutaek Oh
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 17
Top Topics
Artifact Reduction
Unsupervised Learning
Inverse Problems
Compressed Sensing
Top Venues
CoRR
IEEE Trans. Computational Imaging
IEEE J. Sel. Top. Signal Process.
ISBI
</>
Publications
</>
Gyutaek Oh
,
Sukyoung Jung
,
Jeong Eun Lee
,
Jong Chul Ye
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction.
IEEE Trans. Computational Imaging
10 (2024)
Gyutaek Oh
,
Yeonsil Moon
,
Won-Jin Moon
,
Jong Chul Ye
Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements.
NeuroImage
291 (2024)
Gyutaek Oh
,
Jeong Eun Lee
,
Jong Chul Ye
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction.
CoRR
(2023)
Gyutaek Oh
,
Won-Jin Moon
,
Jong Chul Ye
Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI.
CoRR
(2023)
Gyutaek Oh
,
Baekgyu Choi
,
Inkyung Jung
,
Jong Chul Ye
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain.
CoRR
(2023)
Gyutaek Oh
,
Hyokyoung Bae
,
Hyun-Seo Ahn
,
Sung-Hong Park
,
Won-Jin Moon
,
Jong Chul Ye
Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization.
Medical Image Anal.
79 (2022)
Gyutaek Oh
,
Jeong Eun Lee
,
Jong Chul Ye
Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation.
IEEE Trans. Medical Imaging
40 (11) (2021)
Gyutaek Oh
,
Byeongsu Sim
,
Jong Chul Ye
Unsupervised Learning for Compressed Sensing MRI Using Cyclegan.
ISBI
(2020)
Eunju Cha
,
Gyutaek Oh
,
Jong Chul Ye
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.
IEEE J. Sel. Top. Signal Process.
14 (6) (2020)
Gyutaek Oh
,
Byeongsu Sim
,
Hyungjin Chung
,
Leonard Sunwoo
,
Jong Chul Ye
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN.
CoRR
(2020)
Byeongsu Sim
,
Gyutaek Oh
,
Jeongsol Kim
,
Chanyong Jung
,
Jong Chul Ye
Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems.
SIAM J. Imaging Sci.
13 (4) (2020)
Gyutaek Oh
,
Byeongsu Sim
,
Hyungjin Chung
,
Leonard Sunwoo
,
Jong Chul Ye
Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN.
IEEE Trans. Computational Imaging
6 (2020)
Gyutaek Oh
,
Hyokyoung Bae
,
Hyun-Seo Ahn
,
Sung-Hong Park
,
Jong Chul Ye
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN.
CoRR
(2020)
Eunju Cha
,
Gyutaek Oh
,
Jong Chul Ye
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.
CoRR
(2020)
Byeongsu Sim
,
Gyutaek Oh
,
Jong Chul Ye
Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems.
ICASSP
(2020)
Gyutaek Oh
,
Jeong Eun Lee
,
Jong Chul Ye
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation.
CoRR
(2020)
Byeongsu Sim
,
Gyutaek Oh
,
Sungjun Lim
,
Jong Chul Ye
Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems.
CoRR
(2019)