Gyutaek Oh

20 papers Misc 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
AutoMedic: An Automated Evaluation Framework for Clinical Conversational Agents with Medical Dataset Grounding.
CoRR
Gyutaek Oh, Sangjoon Park, Byung-Hoon Kim
2025 J jnl
Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs.
CoRR
Gyutaek Oh, Seoyeon Kim, Sangjoon Park, Byung-Hoon Kim
2025 J jnl
scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders.
CoRR
Gyutaek Oh, Baekgyu Choi, Seyoung Jin, Inkyung Jung, Jong Chul Ye
2024 J jnl
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction.
IEEE Trans. Computational Imaging
Gyutaek Oh, Sukyoung Jung, Jeong Eun Lee, Jong Chul Ye
2024 J jnl
Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements.
NeuroImage
Gyutaek Oh, Yeonsil Moon, Won-Jin Moon, Jong Chul Ye
2023 J jnl
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction.
CoRR
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
2023 J jnl
Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI.
CoRR
Gyutaek Oh, Won-Jin Moon, Jong Chul Ye
2023 J jnl
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain.
CoRR
Gyutaek Oh, Baekgyu Choi, Inkyung Jung, Jong Chul Ye
2022 J jnl
Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization.
Medical Image Anal.
Gyutaek Oh, Hyokyoung Bae, Hyun-Seo Ahn, Sung-Hong Park, Won-Jin Moon, Jong Chul Ye
2021 J jnl
Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation.
IEEE Trans. Medical Imaging
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
2020 J jnl
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN.
CoRR
Gyutaek Oh, Hyokyoung Bae, Hyun-Seo Ahn, Sung-Hong Park, Jong Chul Ye
2020 J jnl
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.
CoRR
Eunju Cha, Gyutaek Oh, Jong Chul Ye
2020 J jnl
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.
IEEE J. Sel. Top. Signal Process.
Eunju Cha, Gyutaek Oh, Jong Chul Ye
2020 J jnl
Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems.
SIAM J. Imaging Sci.
Byeongsu Sim, Gyutaek Oh, Jeongsol Kim, Chanyong Jung, Jong Chul Ye
2020 Misc conf
Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems.
ICASSP
Byeongsu Sim, Gyutaek Oh, Jong Chul Ye
2020 J jnl
Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN.
IEEE Trans. Computational Imaging
Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye
2020 J jnl
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN.
CoRR
Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye
2020 — conf
Unsupervised Learning for Compressed Sensing MRI Using Cyclegan.
ISBI
Gyutaek Oh, Byeongsu Sim, Jong Chul Ye
2020 J jnl
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation.
CoRR
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
2019 J jnl
Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems.
CoRR
Byeongsu Sim, Gyutaek Oh, Sungjun Lim, Jong Chul Ye