Hyungjin Chung

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 45

Top Topics

Inverse Problems

Diffusion Models

Top Venues

Medical Image Anal.

Nat. Mach. Intell.

Publications

Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. CoRR (2024)
Hyungjin Chung, Jong Chul Ye
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. CoRR (2024)
Sangjoon Park, Yong Bae Kim, Jee Suk Chang, Seo Hee Choi, Hyungjin Chung, Ik-Jae Lee, Hwa Kyung Byun
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model. CoRR (2024)
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. ICLR (2024)
Abbas Mammadov, Hyungjin Chung, Jong Chul Ye
Amortized Posterior Sampling with Diffusion Prior Distillation. CoRR (2024)
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
Direct Diffusion Bridge using Data Consistency for Inverse Problems. NeurIPS (2023)
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
Prompt-tuning latent diffusion models for inverse problems. CoRR (2023)
Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye
Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR (2023)
Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye
Regularization by Texts for Latent Diffusion Inverse Solvers. CoRR (2023)
Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky
Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP (2023)
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR (2023)
Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CVPR (2023)
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition. CoRR (2023)
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. IEEE Trans. Medical Imaging 42 (4) (2023)
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. ICCV (2023)
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. CoRR (2023)
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
Direct Diffusion Bridge using Data Consistency for Inverse Problems. CoRR (2023)
Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. CoRR (2023)
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. CVPR (2023)
Hyungjin Chung, Jong Chul Ye
Score-based diffusion models for accelerated MRI. Medical Image Anal. 80 (2022)
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
Improving Diffusion Models for Inverse Problems using Manifold Constraints. NeurIPS (2022)
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. CoRR (2022)
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models. CoRR (2022)
Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis. CoRR (2022)
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CVPR (2022)
Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR (2022)
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
Improving Diffusion Models for Inverse Problems using Manifold Constraints. CoRR (2022)
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. 39 (2) (2022)
Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CoRR (2022)
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. Medical Image Anal. 71 (2021)
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. IEEE Trans. Medical Imaging 40 (1) (2021)
Hyungjin Chung, Jong Chul Ye
Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN. Nat. Mach. Intell. 3 (10) (2021)
Hyungjin Chung, Jaehyun Kim, Jeong Hee Yoon, Jeong Min Lee, Jong Chul Ye
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning. CoRR (2021)
Yoseob Han, Jaeduck Jang, Eunju Cha, Junho Lee, Hyungjin Chung, Myoungho Jeong, Tae-Gon Kim, Byeong Gyu Chae, Hee Goo Kim, Shinae Jun, Sungwoo Hwang, Eunha Lee, Jong Chul Ye
Deep learning STEM-EDX tomography of nanocrystals. Nat. Mach. Intell. 3 (3) (2021)
Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye
Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain. IEEE Trans. Computational Imaging 7 (2021)
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CoRR (2021)
Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye
Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography. CoRR (2021)
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR (2021)
Hyungjin Chung, Jong Chul Ye
Score-based diffusion models for accelerated MRI. CoRR (2021)
Hyungjin Chung, Jong Chul Ye
Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN. CoRR (2021)
Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN. CoRR (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)
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. CoRR (2020)
Joonhyung Lee, Hyunjong Kim, Hyungjin Chung, Jong Chul Ye
Deep Learning Fast MRI Using Channel Attention in Magnitude Domain. ISBI (2020)
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data. CoRR (2020)