Deep Learning Fast MRI Using Channel Attention in Magnitude Domain. - Joonhyung Lee; Hyunjong Kim; Hyungjin Chung; Jong Chul Ye (ISBI, 2020)

Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. - Eunju Cha; Hyungjin Chung; Eung-Yeop Kim; Jong Chul Ye (CoRR, 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)

Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography. - Hyungjin Chung; Jaeyoung Huh; Geon Kim; YongKeun Park; Jong Chul Ye (CoRR, 2021)

Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN. - Hyungjin Chung; Jong Chul Ye (CoRR, 2021)

Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning. - Hyungjin Chung; Jaehyun Kim; Jeong Hee Yoon; Jeong Min Lee; Jong Chul Ye (CoRR, 2021)

Unsupervised Deep Learning Methods for Biological Image Reconstruction. - Mehmet Akçakaya; Burhaneddin Yaman; Hyungjin Chung; Jong Chul Ye (CoRR, 2021)

Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. - Hyungjin Chung; Eunju Cha; Leonard Sunwoo; Jong Chul Ye (Medical Image Anal., 2021)

Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN. - Hyungjin Chung; Jong Chul Ye (Nat. Mach. Intell., 2021)

Deep learning STEM-EDX tomography of nanocrystals. - 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; et al. (Nat. Mach. Intell., 2021)

Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain. - Hyungjin Chung; Jaeyoung Huh; Geon Kim; YongKeun Park; Jong Chul Ye (IEEE Trans. Computational Imaging, 2021)

Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. - Eunju Cha; Hyungjin Chung; Eung-Yeop Kim; Jong Chul Ye (IEEE Trans. Medical Imaging, 2021)

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. - Hyungjin Chung; Byeongsu Sim; Jong Chul Ye (CVPR, 2022)

Improving Diffusion Models for Inverse Problems using Manifold Constraints. - Hyungjin Chung; Byeongsu Sim; Dohoon Ryu; Jong Chul Ye (NeurIPS, 2022)

Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis. - Sangyun Lee; Hyungjin Chung; Jaehyeon Kim; Jong Chul Ye (CoRR, 2022)

Score-based diffusion models for accelerated MRI. - Hyungjin Chung; Jong Chul Ye (Medical Image Anal., 2022)

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. - Mehmet Akçakaya; Burhaneddin Yaman; Hyungjin Chung; Jong Chul Ye (IEEE Signal Process. Mag., 2022)

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. - Hyungjin Chung; Jeongsol Kim; Sehui Kim; Jong Chul Ye (CVPR, 2023)

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. - Hyungjin Chung; Dohoon Ryu; Michael T. McCann; Marc Louis Klasky; Jong Chul Ye (CVPR, 2023)

Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. - Suhyeon Lee 004; Hyungjin Chung; Minyoung Park; Jonghyuk Park 006; Wi-Sun Ryu; Jong Chul Ye (ICCV, 2023)

Score-Based Diffusion Models for Bayesian Image Reconstruction. - Michael T. McCann; Hyungjin Chung; Jong Chul Ye; Marc Louis Klasky (ICIP, 2023)

Diffusion Posterior Sampling for General Noisy Inverse Problems. - Hyungjin Chung; Jeongsol Kim; Michael Thompson McCann; Marc Louis Klasky; Jong Chul Ye (ICLR, 2023)

Direct Diffusion Bridge using Data Consistency for Inverse Problems. - Hyungjin Chung; Jeongsol Kim; Jong Chul Ye (NeurIPS, 2023)

Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition. - Hyungjin Chung; Suhyeon Lee 004; Jong Chul Ye (CoRR, 2023)

Generative AI for Medical Imaging: extending the MONAI Framework. - 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 001; et al. (CoRR, 2023)

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. - Riccardo Barbano; Alexander Denker; Hyungjin Chung; Tae-Hoon Roh; Simon Arrdige; Peter Maass; Bangti Jin; Jong Chul Ye (CoRR, 2023)

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. - Hyungjin Chung; Eun Sun Lee; Jong Chul Ye (IEEE Trans. Medical Imaging, 2023)

Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. - Hyungjin Chung; Jong Chul Ye (ECCV (75), 2024)

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. - Hyungjin Chung; Suhyeon Lee 004; Jong Chul Ye (ICLR, 2024)

Prompt-tuning Latent Diffusion Models for Inverse Problems. - Hyungjin Chung; Jong Chul Ye; Peyman Milanfar; Mauricio Delbracio (ICML, 2024)

Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model. - Sangjoon Park; Yong Bae Kim; Jee Suk Chang; Seo Hee Choi; Hyungjin Chung; Ik-Jae Lee; Hwa Kyung Byun (CoRR, 2024)

Amortized Posterior Sampling with Diffusion Prior Distillation. - Abbas Mammadov; Hyungjin Chung; Jong Chul Ye (CoRR, 2024)

A Survey on Diffusion Models for Inverse Problems. - Giannis Daras; Hyungjin Chung; Chieh-Hsin Lai; Yuki Mitsufuji; Jong Chul Ye; Peyman Milanfar; Alexandros G. Dimakis; Mauricio Delbracio (CoRR, 2024)

ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction. - Hyungjin Chung; Dohun Lee; Jong Chul Ye (CoRR, 2024)

CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models. - Junho Kim; Hyungjin Chung; Byung-Hoon Kim (CoRR, 2024)

Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts. - Jinho Chang; Hyungjin Chung; Jong Chul Ye (CoRR, 2024)

Fundus Photo Enhancement dataset. - Hyungjin Chung; Se Hie Park; Eui-Sang Chung; Kayoung Yi; Jong Chul Ye (IEEE DataPort, 2024)

Fundus Image Enhancement Through Direct Diffusion Bridges. - Sehui Kim; Hyungjin Chung; Se Hie Park; Eui-Sang Chung; Kayoung Yi; Jong Chul Ye (IEEE J. Biomed. Health Informatics, 2024)

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI. - Won Jun Kim; Hyungjin Chung; Jaemin Kim; Sangmin Lee; Byeongsu Sim; Jong Chul Ye (CVPR, 2025)

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. - Hyungjin Chung; Jeongsol Kim; Geon Yeong Park; Hyelin Nam; Jong Chul Ye (ICLR, 2025)

Regularization by Texts for Latent Diffusion Inverse Solvers. - Jeongsol Kim; Geon Yeong Park; Hyungjin Chung; Jong Chul Ye (ICLR, 2025)

Label-independent framework for objective evaluation of cosmetic outcome in breast cancer. - Sangjoon Park; Yong Bae Kim; Jee Suk Chang; Seo Hee Choi; Hyungjin Chung; Ik-Jae Lee; Hwa Kyung Byun (Artif. Intell. Medicine, 2025)

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning. - Hyungjin Chung; Dohun Lee; Zihui Wu; Byung-Hoon Kim; Katherine L. Bouman; Jong Chul Ye (CoRR, 2025)

A Foundational Brain Dynamics Model via Stochastic Optimal Control. - Joonhyeong Park; Byoungwoo Park; Chang-Bae Bang; Jungwon Choi; Hyungjin Chung; Byung-Hoon Kim; Juho Lee 001 (CoRR, 2025)

SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering. - Byeongjun Park; Hyojun Go; Hyelin Nam; Byung-Hoon Kim; Hyungjin Chung; Changick Kim (CoRR, 2025)

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling. - Hyojun Go; Byeongjun Park; Hyelin Nam; Byung-Hoon Kim; Hyungjin Chung; Changick Kim (CoRR, 2025)

InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems. - Noam Elata; Hyungjin Chung; Jong Chul Ye; Tomer Michaeli; Michael Elad (CoRR, 2025)

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction. - Riccardo Barbano; Alexander Denker; Hyungjin Chung; Tae-Hoon Roh; Simon R. Arridge; Peter Maass; Bangti Jin; Jong Chul Ye (IEEE Trans. Medical Imaging, 2025)

Diffusion models for inverse problems. - Hyungjin Chung; Jeongsol Kim; Jong Chul Ye (CoRR, 2025)