Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems. - Byeongsu Sim; Gyutaek Oh; Sungjun Lim 001; Jong Chul Ye (CoRR, 2019)

Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems. - Byeongsu Sim; Gyutaek Oh; Jong Chul Ye (ICASSP, 2020)

Unsupervised Learning for Compressed Sensing MRI Using Cyclegan. - Gyutaek Oh; Byeongsu Sim; Jong Chul Ye (ISBI, 2020)

Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation. - Gyutaek Oh; Jeong Eun Lee; Jong Chul Ye (CoRR, 2020)

CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN. - Gyutaek Oh; Hyokyoung Bae; Hyun-Seo Ahn; Sung-Hong Park; Jong Chul Ye (CoRR, 2020)

Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. - Eunju Cha; Gyutaek Oh; Jong Chul Ye (IEEE J. Sel. Top. Signal Process., 2020)

Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems. - Byeongsu Sim; Gyutaek Oh; Jeongsol Kim; Chanyong Jung; Jong Chul Ye (SIAM J. Imaging Sci., 2020)

Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN. - Gyutaek Oh; Byeongsu Sim; Hyungjin Chung; Leonard Sunwoo; Jong Chul Ye (IEEE Trans. Computational Imaging, 2020)

Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation. - Gyutaek Oh; Jeong Eun Lee; Jong Chul Ye (IEEE Trans. Medical Imaging, 2021)

Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization. - Gyutaek Oh; Hyokyoung Bae; Hyun-Seo Ahn; Sung-Hong Park; Won-Jin Moon; Jong Chul Ye (Medical Image Anal., 2022)

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. - Gyutaek Oh; Jeong Eun Lee; Jong Chul Ye (CoRR, 2023)

Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI. - Gyutaek Oh; Won-Jin Moon; Jong Chul Ye (CoRR, 2023)

scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain. - Gyutaek Oh; Baekgyu Choi; Inkyung Jung; Jong Chul Ye (CoRR, 2023)

Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements. - Gyutaek Oh; Yeonsil Moon; Won-Jin Moon; Jong Chul Ye (NeuroImage, 2024)

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. - Gyutaek Oh; Sukyoung Jung; Jeong Eun Lee; Jong Chul Ye (IEEE Trans. Computational Imaging, 2024)

scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders. - Gyutaek Oh; Baekgyu Choi; Seyoung Jin; Inkyung Jung; Jong Chul Ye (CoRR, 2025)

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs. - Gyutaek Oh; Seoyeon Kim; Sangjoon Park; Byung-Hoon Kim (CoRR, 2025)