Jong Chul Ye - RankMe

491 papers A* 53A 1B 7Misc 9Journal 338Unranked 80

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models. CoRR Jaemin Kim, Jong Chul Ye
2026	J	`jnl`	DINO-SAE: DINO Spherical Autoencoder for High-Fidelity Image Reconstruction and Generation. CoRR Hun Chang, Byunghee Cha, Jong Chul Ye
2026	J	`jnl`	DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement. CoRR Youngmin Kim, Jaeyun Shin, Jeongchan Kim, Taehoon Lee, Jaemin Kim, Peter Hsu, Jelle Veraart, Jong Chul Ye
2026	J	`jnl`	Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis. CoRR Choonghan Kim, Hyunmin Hwang, Hangeol Chang, Jaemin Kim, Jinse Park, Jae-Sung Lim, Jong Chul Ye
2026	J	`jnl`	FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction. CoRR Seonghyun Jin, Jong Chul Ye
2026	J	`jnl`	Guest Editorial for Part 1 of the Special Issue on the Mathematics of Deep Learning [From the Guest Editors]. IEEE Signal Process. Mag. Laura Balzano, Joan Bruna Estrach, Gitta Kutyniok, Robert Nowak, Jong Chul Ye
2026	J	`jnl`	Hypothesis-Conditioned Query Rewriting for Decision-Useful Retrieval. CoRR Hangeol Chang, Changsun Lee, Seungjoon Rho, Junho Yeo, Jong Chul Ye
2026	J	`jnl`	Memory-V2V: Augmenting Video-to-Video Diffusion Models with Memory. CoRR Dohun Lee, Chun-Hao Paul Huang, Xuelin Chen, Jong Chul Ye, Duygu Ceylan, Hyeonho Jeong
2026	J	`jnl`	MotionCFG: Boosting Motion Dynamics via Stochastic Concept Perturbation. CoRR Byungjun Kim, Soobin Um, Jong Chul Ye
2026	J	`jnl`	PACE-RAG: Patient-Aware Contextual and Evidence-based Policy RAG for Clinical Drug Recommendation. CoRR Chaeyoung Huh, Hyunmin Hwang, Jung Hwan Shin, Jinse Park, Jong Chul Ye
2026	J	`jnl`	Reviving ConvNeXt for Efficient Convolutional Diffusion Models. CoRR Taesung Kwon, Lorenzo Bianchi, Lennart Wittke, Felix Watine, Fabio Carrara, Jong Chul Ye, Romann Weber, Vinicius Azevedo
2026	J	`jnl`	Tiled Prompts: Overcoming Prompt Underspecification in Image and Video Super-Resolution. CoRR Bryan Sangwoo Kim, JongHyun Park, Jong Chul Ye
2026	J	`jnl`	UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation for Assessing Hepatic Steatosis. CoRR Kwanyoung Kim, Jaa-Yeon Lee, Youngjun Ko, GunWoo Lee, Jong Chul Ye
2026	J	`jnl`	Unifying Masked Diffusion Models with Various Generation Orders and Beyond. CoRR Chunsan Hong, Sanghyun Lee, Jong Chul Ye
2026	J	`jnl`	Wholistic report generation for Breast ultrasound using LangChain. Comput. Medical Imaging Graph. Jaeyoung Huh, Hye Shin Ahn, Hyun Jeong Park, Jong Chul Ye
2025	J	`jnl`	AI-Based Generative Model for Computer-Based X-Ray Inspection Training System. IEEE Trans. Instrum. Meas. Junyoung Kim, Gihyun Kwon, Dohoon Ryu, Jong Chul Ye
2025	J	`jnl`	Align Your Query: Representation Alignment for Multimodality Medical Object Detection. CoRR Ara Seo, Bryan Sangwoo Kim, Hyungjin Chung, Jong Chul Ye
2025	J	`jnl`	Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents. CoRR Beomsu Kim, Byunghee Cha, Jong Chul Ye
2025	J	`jnl`	Aligning Text to Image in Diffusion Models is Easier Than You Think. CoRR Jaa-Yeon Lee, Byunghee Cha, Jeongsol Kim, Jong Chul Ye
2025	A*	`conf`	Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation. ICML Soobin Um, Beomsu Kim, Jong Chul Ye
2025	J	`jnl`	Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation. CoRR Soobin Um, Beomsu Kim, Jong Chul Ye
2025	A*	`conf`	CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. ICLR Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye
2025	J	`jnl`	CellPainTR: Generalizable Representation Learning for Cross-Dataset Cell Painting Analysis. CoRR Cedric Caruzzo, Jong Chul Ye
2025	J	`jnl`	Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment. CoRR Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye
2025	J	`jnl`	ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning. CoRR Hyungjin Chung, Dohun Lee, Zihui Wu, Byung-Hoon Kim, Katherine L. Bouman, Jong Chul Ye
2025	A*	`conf`	Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI. CVPR Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2025	J	`jnl`	Diffusion models for inverse problems. CoRR Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
2025	J	`jnl`	Diverse Text-to-Image Generation via Contrastive Noise Optimization. CoRR Byungjun Kim, Soobin Um, Jong Chul Ye
2025	J	`jnl`	DreamMakeup: Face Makeup Customization using Latent Diffusion Models. CoRR Geon Yeong Park, Inhwa Han, Serin Yang, Yeobin Hong, Seongmin Jeong, Heechan Jeon, Myeongjin Goh, Sung Won Yi, Jin Nam, Jong Chul Ye
2025	J	`jnl`	End-to-end breast cancer radiotherapy planning via LMMs with consistency embedding. Medical Image Anal. Kwanyoung Kim, Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Joongyo Lee, Jin Sung Kim, Yong Bae Kim, Jong Chul Ye
2025	J	`jnl`	Extreme Blind Image Restoration via Prompt-Conditioned Information Bottleneck. CoRR Hongeun Kim, Bryan Sangwoo Kim, Jong Chul Ye
2025	J	`jnl`	Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN. CoRR Christian Salomonsen, Samuel Kuttner, Michael Kampffmeyer, Robert Jenssen, Kristoffer Wickstrøm, Jong Chul Ye, Elisabeth Wetzer
2025	J	`jnl`	FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing. CoRR Jeongsol Kim, Yeobin Hong, Jong Chul Ye
2025	J	`jnl`	FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems. CoRR Jeongsol Kim, Bryan Sangwoo Kim, Jong Chul Ye
2025	J	`jnl`	FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers. CoRR JongHyun Park, Jong Chul Ye
2025	J	`jnl`	Generalizable Holographic Reconstruction via Amplitude-Only Diffusion Priors. CoRR Jeongsol Kim, Chanseok Lee, Jongin You, Jong Chul Ye, Mooseok Jang
2025	A*	`conf`	Generalized Consistency Trajectory Models for Image Manipulation. ICLR Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye
2025	J	`jnl`	Guest Editorial Special Issue on Advancements in Foundation Models for Medical Imaging. IEEE Trans. Medical Imaging Tianming Liu, Dinggang Shen, Jong Chul Ye, Marleen de Bruijne, Wei Liu
2025	J	`jnl`	Guided Diffusion Sampling on Function Spaces with Applications to PDEs. CoRR Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar
2025	J	`jnl`	Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies. CoRR Chunsan Hong, Seonho An, Min-Soo Kim, Jong Chul Ye
2025	J	`jnl`	Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders. CoRR Dohun Lee, Hyeonho Jeong, Jiwook Kim, Duygu Ceylan, Jong Chul Ye
2025	J	`jnl`	InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems. CoRR Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Michael Elad
2025	J	`jnl`	InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem. CoRR Yeobin Hong, Suhyeon Lee, Hyungjin Chung, Jong Chul Ye
2025	A*	`conf`	LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models. ICML Jinho Chang, Jong Chul Ye
2025	A*	`conf`	Minority-Focused Text-to-Image Generation via Prompt Optimization. CVPR Soobin Um, Jong Chul Ye
2025	A*	`conf`	Optical-Flow Guided Prompt Optimization for Coherent Video Generation. CVPR Hyelin Nam, Jaemin Kim, Dohun Lee, Jong Chul Ye
2025	J	`jnl`	PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models. CoRR Jeongjae Lee, Jong Chul Ye
2025	J	`jnl`	Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models. CoRR Dongjin Seo, Soobin Um, Sangbin Lee, Jong Chul Ye, Haejun Chung
2025	J	`jnl`	Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment. CoRR Suhyeon Lee, Jong Chul Ye
2025	J	`jnl`	ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding. CoRR Byeongjun Park, Byung-Hoon Kim, Hyungjin Chung, Jong Chul Ye
2025	J	`jnl`	Reangle-A-Video: 4D Video Generation as Video-to-Video Translation. CoRR Hyeonho Jeong, Suhyeon Lee, Jong Chul Ye
2025	A*	`conf`	Regularization by Texts for Latent Diffusion Inverse Solvers. ICLR Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye
2025	A*	`conf`	Simple ReFlow: Improved Techniques for Fast Flow Models. ICLR Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton
2025	J	`jnl`	Single-Step Bidirectional Unpaired Image Translation Using Implicit Bridge Consistency Distillation. CoRR Suhyeon Lee, Kwanyoung Kim, Jong Chul Ye
2025	A*	`conf`	Solving Video Inverse Problems Using Image Diffusion Models. ICLR Taesung Kwon, Jong Chul Ye
2025	A*	`conf`	Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models. AAAI Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye
2025	J	`jnl`	Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction. IEEE Trans. Medical Imaging Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon R. Arridge, Peter Maass, Bangti Jin, Jong Chul Ye
2025	J	`jnl`	Text optimization with latent inversion for non-rigid image editing. Pattern Recognit. Lett. Yunji Jung, Seokju Lee, Tair Djanibekov, Jong Chul Ye, Hyunjung Shim
2025	A	`conf`	Text-to-Image Synthesis for Domain Generalization in Face Anti-Spoofing. WACV Naeun Ko, Yonghyun Jeong, Jong Chul Ye
2025	A*	`conf`	Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation. CVPR Hyeonho Jeong, Chun-Hao P. Huang, Jong Chul Ye, Niloy J. Mitra, Duygu Ceylan
2025	J	`jnl`	Training-Free Reward-Guided Image Editing via Trajectory Optimal Control. CoRR Jinho Chang, Jaemin Kim, Jong Chul Ye
2025	A*	`conf`	TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation. ICLR Gihyun Kwon, Jong Chul Ye
2025	J	`jnl`	Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs. CoRR Jaemin Kim, Hangeol Chang, Hyunmin Hwang, Choonghan Kim, Jong Chul Ye
2025	A*	`conf`	ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler. ICLR Serin Yang, Taesung Kwon, Jong Chul Ye
2025	J	`jnl`	Video Diffusion Posterior Sampling for Seeing Beyond Dynamic Scattering Layers. IEEE Trans. Pattern Anal. Mach. Intell. Taesung Kwon, Gookho Song, Yoosun Kim, Jeongsol Kim, Jong Chul Ye, Mooseok Jang
2025	A*	`conf`	VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide. CVPR Dohun Lee, Bryan Sangwoo Kim, Geon Yeong Park, Jong Chul Ye
2025	J	`jnl`	Zero4D: Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video Diffusion Model. CoRR Jangho Park, Taesung Kwon, Jong Chul Ye
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`	(Deep) Generative Geodesics. CoRR Beomsu Kim, Michael Puthawala, Jong Chul Ye, Emanuele Sansone
2024	J	`jnl`	A Survey on Diffusion Models for Inverse Problems. CoRR Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio
2024	J	`jnl`	ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction. CoRR Hyungjin Chung, Dohun Lee, Jong Chul Ye
2024	J	`jnl`	Amortized Posterior Sampling with Diffusion Prior Distillation. CoRR Abbas Mammadov, Hyungjin Chung, 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`	C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. Medical Image Anal. Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
2024	J	`jnl`	CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. CoRR Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye
2024	A*	`conf`	Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models. CVPR Gihyun Kwon, Simon Jenni, Dingzeyu Li, Joon-Young Lee, Jong Chul Ye, Fabian Caba Heilbron
2024	J	`jnl`	Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models. CoRR Gihyun Kwon, Simon Jenni, Dingzeyu Li, Joon-Young Lee, Jong Chul Ye, Fabian Caba Heilbron
2024	J	`jnl`	Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts. CoRR Jinho Chang, Hyungjin Chung, Jong Chul Ye
2024	A*	`conf`	Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing. CVPR Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye
2024	A*	`conf`	Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. ICLR Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
2024	—	`conf`	Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. ECCV (75) Hyungjin Chung, Jong Chul Ye
2024	J	`jnl`	Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. CoRR Hyungjin Chung, Jong Chul Ye
2024	J	`jnl`	Defining Neural Network Architecture through Polytope Structures of Dataset. CoRR Sangmin Lee, Abbas Mammadov, Jong Chul Ye
2024	A*	`conf`	Defining Neural Network Architecture through Polytope Structures of Datasets. ICML Sangmin Lee, Abbas Mammadov, Jong Chul Ye
2024	J	`jnl`	Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI. CoRR Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2024	A*	`conf`	Don't Play Favorites: Minority Guidance for Diffusion Models. ICLR Soobin Um, Suhyeon Lee, Jong Chul Ye
2024	J	`jnl`	DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing. CoRR Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye
2024	—	`conf`	DreamMotion: Space-Time Self-similar Score Distillation for Zero-Shot Video Editing. ECCV (30) Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye
2024	—	`conf`	DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. ECCV (82) Jeongsol Kim, Geon Yeong Park, Jong Chul Ye
2024	J	`jnl`	DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. CoRR Jeongsol Kim, Geon Yeong Park, Jong Chul Ye
2024	A*	`conf`	ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF. ICLR Jangho Park, Gihyun Kwon, Jong Chul Ye
2024	J	`jnl`	Free CoRR Jaemin Kim, Bryan S. Kim, Jong Chul Ye
2024	J	`jnl`	Fundus Image Enhancement Through Direct Diffusion Bridges. IEEE J. Biomed. Health Informatics Sehui Kim, Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye
2024	J	`jnl`	Fundus image enhancement through direct diffusion bridges. CoRR Sehui Kim, Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye
2024	J	`jnl`	Generalized Consistency Trajectory Models for Image Manipulation. CoRR Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye
2024	J	`jnl`	Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing. CoRR Hangeol Chang, Jinho Chang, Jong Chul Ye
2024	A*	`conf`	Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models. ICLR Hyeonho Jeong, Jong Chul Ye
2024	J	`jnl`	Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation. CoRR Junhyeok Lee, Yujin Oh, Dahyoun Lee, Hyon Keun Joh, Chul-Ho Sohn, Sung Hyun Baik, Cheol Kyu Jung, Jung Hyun Park, Kyu Sung Choi, Byung-Hoon Kim, Jong Chul Ye
2024	J	`jnl`	Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models. IEEE J. Biomed. Health Informatics Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee, Jong Chul Ye
2024	J	`jnl`	Inference-Time Diffusion Model Distillation. CoRR Geon Yeong Park, Sang Wan Lee, Jong Chul Ye
2024	J	`jnl`	LDMol: Text-Conditioned Molecule Diffusion Model Leveraging Chemically Informative Latent Space. CoRR Jinho Chang, Jong Chul Ye
2024	A*	`conf`	LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation. ICLR Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul Ye
2024	J	`jnl`	Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. CoRR Yunji Jung, Seokju Lee, Tair Djanibekov, Hyunjung Shim, Jong Chul Ye
2024	J	`jnl`	Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation. CoRR Jeongsol Kim, Beomsu Kim, Jong Chul Ye
2024	J	`jnl`	MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer. IEEE J. Biomed. Health Informatics Sangjoon Park, Ik-Jae Lee, Jun Won Kim, Jong Chul Ye
2024	J	`jnl`	Magnitude and angle dynamics in training single ReLU neurons. Neural Networks Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2024	J	`jnl`	MindFormer: A Transformer Architecture for Multi-Subject Brain Decoding via fMRI. CoRR Inhwa Han, Jaayeon Lee, Jong Chul Ye
2024	J	`jnl`	MinorityPrompt: Text to Minority Image Generation via Prompt Optimization. CoRR Soobin Um, Jong Chul Ye
2024	J	`jnl`	Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation. CoRR Yujin Oh, Sangjoon Park, Xiang Li, Wang Yi, Jonathan Paly, Jason Efstathiou, Annie Chan, Jun Won Kim, Hwa Kyung Byun, Ik Jae Lee, Jaeho Cho, Chan Woo Wee, Peng Shu, Peilong Wang, Nathan Yu, Jason Holmes, Jong Chul Ye, Quanzheng Li, Wei Liu, Woong Sub Koom, Jin Sung Kim, Kyungsang Kim
2024	Misc	`conf`	Noise2one: One-Shot Image Denoising with Local Implicit Learning. ICASSP Kwanyoung Kim, Jong Chul Ye
2024	—	`conf`	OTSeg: Multi-Prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation. ECCV (77) Kwanyoung Kim, Yujin Oh, Jong Chul Ye
2024	J	`jnl`	OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation. CoRR Kwanyoung Kim, Yujin Oh, Jong Chul Ye
2024	J	`jnl`	Optical-Flow Guided Prompt Optimization for Coherent Video Generation. CoRR Hyelin Nam, Jaemin Kim, Dohun Lee, Jong Chul Ye
2024	A*	`conf`	Patch-Wise Graph Contrastive Learning for Image Translation. AAAI Chanyong Jung, Gihyun Kwon, Jong Chul Ye
2024	A*	`conf`	Prompt-tuning Latent Diffusion Models for Inverse Problems. ICML Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
2024	J	`jnl`	Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation. CoRR Changsun Lee, Sangjoon Park, Cheong-Il Shin, Woo Hee Choi, Hyun Jeong Park, Jeong Eun Lee, Jong Chul Ye
2024	—	`conf`	Self-Guided Generation of Minority Samples Using Diffusion Models. ECCV (68) Soobin Um, Jong Chul Ye
2024	J	`jnl`	Self-Guided Generation of Minority Samples Using Diffusion Models. CoRR Soobin Um, Jong Chul Ye
2024	A*	`conf`	Self-Supervised Debiasing Using Low Rank Regularization. CVPR Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee
2024	J	`jnl`	Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology. Medical Image Anal. Sangjoon Park, Eun Sun Lee, Kyung Sook Shin, Jeong Eun Lee, Jong Chul Ye
2024	J	`jnl`	Simple ReFlow: Improved Techniques for Fast Flow Models. CoRR Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton
2024	J	`jnl`	Solving Video Inverse Problems Using Image Diffusion Models. CoRR Taesung Kwon, Jong Chul Ye
2024	J	`jnl`	Spectral Motion Alignment for Video Motion Transfer using Diffusion Models. CoRR Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye
2024	J	`jnl`	Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation. CoRR Hyeonho Jeong, Chun-Hao Paul Huang, Jong Chul Ye, Niloy J. Mitra, Duygu Ceylan
2024	J	`jnl`	TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation. CoRR Gihyun Kwon, Jong Chul Ye
2024	J	`jnl`	UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation. CoRR Kwanyoung Kim, Jaa-Yeon Lee, Jong Chul Ye
2024	J	`jnl`	Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection. CoRR Gihyun Kwon, Jangho Park, Jong Chul Ye
2024	A*	`conf`	Unpaired Image-to-Image Translation via Neural Schrödinger Bridge. ICLR Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, 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
2024	J	`jnl`	VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models. CoRR Taesung Kwon, Jong Chul Ye
2024	A*	`conf`	VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models. CVPR Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye
2024	J	`jnl`	ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler. CoRR Serin Yang, Taesung Kwon, Jong Chul Ye
2024	J	`jnl`	VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide. CoRR Dohun Lee, Bryan S. Kim, Geon Yeong Park, 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`	Breast Ultrasound Report Generation using LangChain. CoRR Jaeyoung Huh, Hyun Jeong Park, Jong Chul Ye
2023	J	`jnl`	C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. CoRR Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
2023	J	`jnl`	Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing. CoRR Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye
2023	J	`jnl`	Data Topology-Dependent Upper Bounds of Neural Network Widths. CoRR Sangmin Lee, Jong Chul Ye
2023	J	`jnl`	Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data. Nat. Mac. Intell. Chanseok Lee, Gookho Song, Hyeonggeon Kim, Jong Chul Ye, Mooseok Jang
2023	A*	`conf`	Denoising MCMC for Accelerating Diffusion-Based Generative Models. ICML Beomsu Kim, Jong Chul Ye
2023	A*	`conf`	Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. ICLR Boah Kim, Yujin Oh, Jong Chul Ye
2023	A*	`conf`	Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye
2023	A*	`conf`	Diffusion-based Image Translation using disentangled style and content representation. ICLR Gihyun Kwon, Jong Chul Ye
2023	A*	`conf`	Direct Diffusion Bridge using Data Consistency for Inverse Problems. NeurIPS Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
2023	J	`jnl`	Direct Diffusion Bridge using Data Consistency for Inverse Problems. CoRR Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
2023	J	`jnl`	Don't Play Favorites: Minority Guidance for Diffusion Models. CoRR Soobin Um, Jong Chul Ye
2023	J	`jnl`	ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF. CoRR Jangho Park, Gihyun Kwon, Jong Chul Ye
2023	A*	`conf`	Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. NeurIPS Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
2023	J	`jnl`	Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. CoRR Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
2023	J	`jnl`	Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition. CoRR Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR 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
2023	J	`jnl`	Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications. IEEE Signal Process. Mag. Zhizhen Zhao, Jong Chul Ye, Yoram Bresler
2023	J	`jnl`	Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models. CoRR Hyeonho Jeong, Jong Chul Ye
2023	J	`jnl`	Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion. CoRR Inhwa Han, Serin Yang, Taesung Kwon, Jong Chul Ye
2023	A*	`conf`	Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. ICCV Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
2023	J	`jnl`	Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. CoRR Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
2023	J	`jnl`	Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance. CoRR Gihyun Kwon, Jong Chul Ye
2023	J	`jnl`	Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model. CoRR Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee, Jong Chul Ye
2023	J	`jnl`	LLM Itself Can Read and Generate CXR Images. CoRR Suhyeon Lee, Won Jun Kim, Jong Chul Ye
2023	J	`jnl`	LLM-driven Multimodal Target Volume Contouring in Radiation Oncology. CoRR Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Jin Sung Kim, Jong Chul Ye
2023	J	`jnl`	MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. IEEE Trans. Medical Imaging Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
2023	J	`jnl`	MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling. CoRR Sangjoon Park, Ik-Jae Lee, Jun Won Kim, Jong Chul Ye
2023	A*	`conf`	Minimizing Trajectory Curvature of ODE-based Generative Models. ICML Sangyun Lee, Beomsu Kim, Jong Chul Ye
2023	J	`jnl`	Minimizing Trajectory Curvature of ODE-based Generative Models. CoRR Sangyun Lee, Beomsu Kim, Jong Chul Ye
2023	J	`jnl`	Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment. IEEE J. Biomed. Health Informatics Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye
2023	J	`jnl`	Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation. IEEE Trans. Medical Imaging Sangjoon Park, Jong Chul Ye
2023	J	`jnl`	One-Shot Adaptation of GAN in Just One CLIP. IEEE Trans. Pattern Anal. Mach. Intell. Gihyun Kwon, Jong Chul Ye
2023	A*	`conf`	Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CVPR Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
2023	J	`jnl`	Patch-wise Graph Contrastive Learning for Image Translation. CoRR Chanyong Jung, Gihyun Kwon, Jong Chul Ye
2023	J	`jnl`	Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
2023	J	`jnl`	Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
2023	J	`jnl`	Prompt-tuning latent diffusion models for inverse problems. CoRR Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
2023	J	`jnl`	RO-LLaMA: Generalist LLM for Radiation Oncology via Noise Augmentation and Consistency Regularization. CoRR Kwanyoung Kim, Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Jin Sung Kim, Yong Bae Kim, Jong Chul Ye
2023	J	`jnl`	Regularization by Texts for Latent Diffusion Inverse Solvers. CoRR Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye
2023	B	`conf`	Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky
2023	A*	`conf`	Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. CVPR Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2023	J	`jnl`	Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. CoRR Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye
2023	J	`jnl`	Task-Agnostic Vision Transformer for Distributed Learning of Image Processing. IEEE Trans. Image Process. Boah Kim, Jeongsol Kim, Jong Chul Ye
2023	J	`jnl`	The Foundations of Computational Imaging: A signal processing perspective. IEEE Signal Process. Mag. W. Clem Karl, James E. Fowler, Charles A. Bouman, Müjdat Çetin, Brendt Wohlberg, Jong Chul Ye
2023	A*	`conf`	Training Debiased Subnetworks with Contrastive Weight Pruning. CVPR Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye
2023	J	`jnl`	Tunable image quality control of 3-D ultrasound using switchable CycleGAN. Medical Image Anal. Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Jeong Eun Lee, Eun Sun Lee, Jong Chul Ye
2023	Misc	`conf`	Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN. ICASSP Jaeyoung Huh, Shujaat Khan, Eun Sun 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`	Unpaired Image-to-Image Translation via Neural Schrödinger Bridge. CoRR Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye
2023	J	`jnl`	VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models. CoRR Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye
2023	J	`jnl`	ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts. CoRR Kwanyoung Kim, Yujin Oh, Jong Chul Ye
2023	A*	`conf`	Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. ICCV Serin Yang, Hyunmin Hwang, Jong Chul Ye
2023	J	`jnl`	Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. CoRR Serin Yang, Hyunmin Hwang, Jong Chul Ye
2023	J	`jnl`	Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models. CoRR Hyeonho Jeong, Gihyun Kwon, 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`	A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies. CoRR Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye
2022	J	`jnl`	AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation. CoRR Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Chang Min Park, Jong Chul Ye
2022	J	`jnl`	Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation. CoRR Sangjoon Park, Eun Sun Lee, Jeong Eun Lee, Jong Chul Ye
2022	A*	`conf`	CLIPstyler: Image Style Transfer with a Single Text Condition. CVPR Gihyun Kwon, Jong Chul Ye
2022	—	`conf`	CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation. ECCV (21) Yujin Oh, Jong Chul Ye
2022	A*	`conf`	Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CVPR Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
2022	—	`conf`	Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. AICAS Inhwa Han, Boah Kim, Eung-Yeop Kim, Jong Chul Ye
2022	J	`jnl`	Deep Learning in Biological Image and Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. Erik Meijering, Vince D. Calhoun, Gloria Menegaz, David J. Miller, Jong Chul Ye
2022	J	`jnl`	DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
2022	J	`jnl`	Denoising MCMC for Accelerating Diffusion-Based Generative Models. CoRR Beomsu Kim, Jong Chul Ye
2022	—	`conf`	DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model. ECCV (31) Boah Kim, Inhwa Han, Jong Chul Ye
2022	J	`jnl`	Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. CoRR Boah Kim, Yujin Oh, Jong Chul Ye
2022	—	`conf`	Diffusion Deformable Model for 4D Temporal Medical Image Generation. MICCAI (1) Boah Kim, Jong Chul Ye
2022	J	`jnl`	Diffusion Deformable Model for 4D Temporal Medical Image Generation. CoRR Boah Kim, Jong Chul Ye
2022	J	`jnl`	Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2022	J	`jnl`	Diffusion-based Image Translation using Disentangled Style and Content Representation. CoRR Gihyun Kwon, Jong Chul Ye
2022	A*	`conf`	DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. CVPR Gwanghyun Kim, Taesung Kwon, Jong Chul Ye
2022	J	`jnl`	Efficient debiasing with contrastive weight pruning. CoRR Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye
2022	A*	`conf`	Energy-Based Contrastive Learning of Visual Representations. NeurIPS Beomsu Kim, Jong Chul Ye
2022	J	`jnl`	Energy-Based Contrastive Learning of Visual Representations. CoRR Beomsu Kim, Jong Chul Ye
2022	A*	`conf`	Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. CVPR Chanyong Jung, Gihyun Kwon, Jong Chul Ye
2022	J	`jnl`	Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. CoRR Chanyong Jung, Gihyun Kwon, Jong Chul Ye
2022	A*	`conf`	Improving Diffusion Models for Inverse Problems using Manifold Constraints. NeurIPS Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
2022	J	`jnl`	Improving Diffusion Models for Inverse Problems using Manifold Constraints. CoRR Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
2022	J	`jnl`	MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. CoRR Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
2022	—	`ed.`	Machine Learning for Scientific Imaging 2022, online, January 15-26, 2022 Machine Learning for Scientific Imaging Marc Louis Klasky, Jong Chul Ye
2022	J	`jnl`	Magnitude and Angle Dynamics in Training Single ReLU Neurons. CoRR Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2022	J	`jnl`	Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models. CoRR Beomsu Kim, Jong Chul Ye
2022	J	`jnl`	Molecular Structure-Property Co-Trained Foundation Model for In Silico Chemistry. CoRR Jinho Chang, Jong Chul Ye
2022	Misc	`conf`	Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network. ICASSP Jaeyoung Huh, Shujaat Khan, Jong Chul Ye
2022	J	`jnl`	Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation. CoRR Sangjoon Park, Jong Chul Ye
2022	J	`jnl`	Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification. Medical Image Anal. Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
2022	A*	`conf`	Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. CVPR Kwanyoung Kim, Taesung Kwon, Jong Chul Ye
2022	J	`jnl`	One-Shot Adaptation of GAN in Just One CLIP. CoRR Gihyun Kwon, Jong Chul Ye
2022	J	`jnl`	Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CoRR Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
2022	—	`conf`	Patch-Wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. MICCAI (6) Chanyong Jung, Joonhyung Lee, Sunkyoung You, Jong Chul Ye
2022	J	`jnl`	Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. CoRR Chanyong Jung, Joonhyung Lee, Sunkyoung You, Jong Chul Ye
2022	J	`jnl`	Performance Analysis of Fractional Learning Algorithms. IEEE Trans. Signal Process. Abdul Wahab, Shujaat Khan, Imran Naseem, Jong Chul Ye
2022	J	`jnl`	Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning. CoRR Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2022	J	`jnl`	Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis. CoRR Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye
2022	J	`jnl`	Pyramidal Denoising Diffusion Probabilistic Models. CoRR Dohoon Ryu, Jong Chul Ye
2022	J	`jnl`	Score-based diffusion models for accelerated MRI. Medical Image Anal. Hyungjin Chung, Jong Chul Ye
2022	J	`jnl`	Self-supervised debiasing using low rank regularization. CoRR Geon Yeong Park, Chanyong Jung, Jong Chul Ye, Sang Wan Lee
2022	J	`jnl`	Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models. CoRR Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2022	J	`jnl`	Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks. CoRR Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2022	J	`jnl`	Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound. IEEE Trans. Medical Imaging Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2022	J	`jnl`	Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, 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`	AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising. IEEE Trans. Computational Imaging Jawook Gu, Jong Chul Ye
2021	J	`jnl`	Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning. CoRR Hyoungjun Park, Myeongsu Na, Bumju Kim, Soohyun Park, Ki Hean Kim, Sunghoe Chang, Jong Chul Ye
2021	J	`jnl`	CLIPstyler: Image Style Transfer with a Single Text Condition. CoRR Gihyun Kwon, Jong Chul Ye
2021	J	`jnl`	Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CoRR Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
2021	J	`jnl`	Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN. IEEE Trans. Medical Imaging Serin Yang, Eung-Yeop Kim, Jong Chul Ye
2021	—	`conf`	Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN. DART/FAIR@MICCAI Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2021	J	`jnl`	Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising. IEEE Trans. Computational Imaging Taesung Kwon, Jong Chul Ye
2021	J	`jnl`	Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising. CoRR Taesung Kwon, Jong Chul Ye
2021	J	`jnl`	CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement. Medical Image Anal. Jawook Gu, Tae Seong Yang, Jong Chul Ye, Dong Hyun Yang
2021	J	`jnl`	CycleMorph: Cycle consistent unsupervised deformable image registration. Medical Image Anal. Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye
2021	J	`jnl`	Deep Learning for Ultrasound Beamforming. CoRR Ruud J. G. van Sloun, Jong Chul Ye, Yonina C. Eldar
2021	J	`jnl`	Deep learning STEM-EDX tomography of nanocrystals. Nat. Mach. Intell. 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
2021	J	`jnl`	DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning. IEEE Trans. Medical Imaging Donghun Ryu, Dongmin Ryu, YoonSeok Baek, Hyungjoo Cho, Geon Kim, Young Seo Kim, Yongki Lee, Yoosik Kim, Jong Chul Ye, Hyunseok Min, YongKeun Park
2021	A*	`conf`	Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. ICCV Gihyun Kwon, Jong Chul Ye
2021	J	`jnl`	Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. CoRR Gihyun Kwon, Jong Chul Ye
2021	J	`jnl`	DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models. CoRR Boah Kim, Inhwa Han, Jong Chul Ye
2021	J	`jnl`	DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models. CoRR Gwanghyun Kim, Jong Chul Ye
2021	J	`jnl`	Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN. CoRR Hyungjin Chung, Jong Chul Ye
2021	J	`jnl`	Federated CycleGAN for Privacy-Preserving Image-to-Image Translation. CoRR Joonyoung Song, Jong Chul Ye
2021	A*	`conf`	Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis. NeurIPS Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye
2021	J	`jnl`	Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training. CoRR Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye
2021	A*	`conf`	Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention. NeurIPS Byung-Hoon Kim, Jong Chul Ye, Jae-Jin Kim
2021	J	`jnl`	Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention. CoRR Byung-Hoon Kim, Jong Chul Ye, Jae-Jin Kim
2021	J	`jnl`	Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain. IEEE Trans. Computational Imaging Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye
2021	J	`jnl`	Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. CoRR Kwanyoung Kim, Taesung Kwon, Jong Chul Ye
2021	A*	`conf`	Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images. NeurIPS Kwanyoung Kim, Jong Chul Ye
2021	J	`jnl`	Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images. CoRR Kwanyoung Kim, Jong Chul Ye
2021	J	`jnl`	Performance Analysis of Fractional Learning Algorithms. CoRR Abdul Wahab, Shujaat Khan, Imran Naseem, Jong Chul Ye
2021	J	`jnl`	PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing. CoRR Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek
2021	J	`jnl`	Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN. Nat. Mach. Intell. Hyungjin Chung, Jong Chul Ye
2021	J	`jnl`	Score-based diffusion models for accelerated MRI. CoRR Hyungjin Chung, Jong Chul Ye
2021	J	`jnl`	Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer. CoRR Gwanghyun Kim, Sangjoon Park, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
2021	J	`jnl`	Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning. CoRR Hyungjin Chung, Jaehyun Kim, Jeong Hee Yoon, Jeong Min Lee, Jong Chul Ye
2021	—	`conf`	Switchable Deep Beamformer For Ultrasound Imaging Using Adain. ISBI Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2021	J	`jnl`	Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN. CoRR Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Eun Sun Lee, Jong Chul Ye
2021	J	`jnl`	Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. Medical Image Anal. Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
2021	J	`jnl`	Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation. CoRR Yujin Oh, 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
2021	J	`jnl`	Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. IEEE Trans. Medical Imaging Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
2021	J	`jnl`	Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN. IEEE Trans. Medical Imaging Junghyun Lee, Jawook Gu, Jong Chul Ye
2021	—	`conf`	Unsupervised Deep Learning For Accelerated High Quality Echocardiography. ISBI Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2021	J	`jnl`	Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
2021	J	`jnl`	Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN. IEEE Trans. Geosci. Remote. Sens. Joonyoung Song, Jaeheon Jeong, Dae-Soon Park, Hyun-Ho Kim, Doo-Chun Seo, Jong Chul Ye
2021	J	`jnl`	Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography. CoRR Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye
2021	J	`jnl`	Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus. CoRR Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
2021	J	`jnl`	Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification. CoRR Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
2020	—	`conf`	AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou
2020	J	`jnl`	AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou
2020	J	`jnl`	Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images. Biomed. Signal Process. Control. Mi-Sun Kang, Eunju Cha, Eunhee Kang, Jong Chul Ye, Nam-Gu Her, Jeong-Woo Oh, Do-Hyun Nam, Myoung-Hee Kim, Sejung Yang
2020	J	`jnl`	AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising. CoRR Jawook Gu, Jong Chul Ye
2020	J	`jnl`	Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks. Nat. Mach. Intell. Dongwook Lee, Won-Jin Moon, Jong Chul Ye
2020	J	`jnl`	Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. IEEE Signal Process. Mag. Mathews Jacob, Jong Chul Ye, Leslie Ying, Mariya Doneva
2020	—	`conf`	Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep Learning. ISBI Junyoung Kim, Yoseob Han, Jong Chul Ye
2020	J	`jnl`	Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN. CoRR Serin Yang, Eung-Yeop Kim, Jong Chul Ye
2020	J	`jnl`	CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry. IEEE Trans. Computational Imaging Sungjun Lim, Hyoungjun Park, Sang-Eun Lee, Sunghoe Chang, Byeongsu Sim, Jong Chul Ye
2020	J	`jnl`	CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration. CoRR Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo 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`	Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets. IEEE Trans. Medical Imaging Yujin Oh, Sangjoon Park, Jong Chul Ye
2020	J	`jnl`	Deep Learning COVID-19 Features on CXR using Limited Training Data Sets. CoRR Yujin Oh, Sangjoon Park, Jong Chul Ye
2020	J	`jnl`	Deep Learning Diffuse Optical Tomography. IEEE Trans. Medical Imaging Jaejun Yoo, Sohail Sabir, Duchang Heo, Kee Hyun Kim, Abdul Wahab, Yoonseok Choi, Seul-I Lee, Eun Young Chae, Hak Hee Kim, Young Min Bae, Young-Wook Choi, Seungryong Cho, Jong Chul Ye
2020	—	`conf`	Deep Learning Fast MRI Using Channel Attention in Magnitude Domain. ISBI Joonhyung Lee, Hyunjong Kim, Hyungjin Chung, Jong Chul Ye
2020	J	`jnl`	Deep learning for tomographic image reconstruction. Nat. Mach. Intell. Ge Wang, Jong Chul Ye, Bruno De Man
2020	J	`jnl`	DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. CoRR Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
2020	J	`jnl`	Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal. IEEE Trans. Medical Imaging Yoseob Han, Junyoung Kim, Jong Chul Ye
2020	J	`jnl`	Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging. IEEE J. Sel. Top. Signal Process. Vishal Monga, Scott T. Acton, Abd-Krim Seghouane, Arrate Muñoz-Barrutia, 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`	Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning. Proc. IEEE Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
2020	—	`ed.`	Machine Learning for Medical Image Reconstruction - Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings MLMIR@MICCAI Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye
2020	J	`jnl`	Mumford-Shah Loss Functional for Image Segmentation With Deep Learning. IEEE Trans. Image Process. Boah Kim, Jong Chul Ye
2020	—	`conf`	NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji
2020	J	`jnl`	NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji
2020	J	`jnl`	OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN. CoRR Jaeyoung Huh, Shujaat Khan, 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`	Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal. CoRR Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2020	—	`conf`	PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing. ECCV Workshops (3) Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek
2020	J	`jnl`	Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning. IEEE Signal Process. Mag. Mathews Jacob, Merry P. Mani, Jong Chul Ye
2020	J	`jnl`	Switchable Deep Beamformer. CoRR Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2020	J	`jnl`	Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data. CoRR Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
2020	J	`jnl`	Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis. CoRR Byung-Hoon Kim, 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	J	`jnl`	Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN. CoRR Junghyun Lee, Jawook Gu, Jong Chul Ye
2020	—	`conf`	Unsupervised Cone-Beam Artifact Removal Using CycleGAN and Spectral Blending for Adaptive Radiotherapy. ISBI Sangjoon Park, Jong Chul Ye
2020	J	`jnl`	Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. CoRR Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
2020	J	`jnl`	Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN. CoRR Joonyoung Song, Jae-Heon Jeong, Dae-Soon Park, Hyun-Ho Kim, Doo-Chun Seo, 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
2020	J	`jnl`	k-Space Deep Learning for Accelerated MRI. IEEE Trans. Medical Imaging Yoseob Han, Leonard Sunwoo, Jong Chul Ye
2019	J	`jnl`	Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound. CoRR Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2019	—	`conf`	Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer. MLMIR@MICCAI Sungjun Lim, Jong Chul Ye
2019	J	`jnl`	Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer. CoRR Sungjun Lim, Sang-Eun Lee, Sunghoe Chang, Jong Chul Ye
2019	J	`jnl`	Boosting CNN beyond Label in Inverse Problems. CoRR Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
2019	J	`jnl`	CollaGAN : Collaborative GAN for Missing Image Data Imputation. CoRR Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye
2019	A*	`conf`	CollaGAN: Collaborative GAN for Missing Image Data Imputation. CVPR Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye
2019	J	`jnl`	CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry. CoRR Sungjun Lim, Sang-Eun Lee, Sunghoe Chang, Jong Chul Ye
2019	—	`conf`	Deep Learning-Based Universal Beamformer for Ultrasound Imaging. MICCAI (5) Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2019	J	`jnl`	Deep Learning-based Universal Beamformer for Ultrasound Imaging. CoRR Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2019	J	`jnl`	Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal. CoRR Yoseob Han, Junyoung Kim, Jong Chul Ye
2019	J	`jnl`	Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning. IEEE Trans. Medical Imaging Yeo Hun Yoon, Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2019	J	`jnl`	Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning. CoRR Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
2019	—	`ed.`	Machine Learning for Medical Image Reconstruction - Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings MLMIR@MICCAI Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye
2019	J	`jnl`	Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning. CoRR Boah Kim, 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
2019	J	`jnl`	Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning. CoRR Mathews Jacob, Merry P. Mani, Jong Chul Ye
2019	A*	`conf`	Understanding Geometry of Encoder-Decoder CNNs. ICML Jong Chul Ye, Woon Kyoung Sung
2019	J	`jnl`	Understanding Geometry of Encoder-Decoder CNNs. CoRR Jong Chul Ye, Woon Kyoung Sung
2019	J	`jnl`	Universal Deep Beamformer for Variable Rate Ultrasound Imaging. CoRR Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2019	—	`conf`	Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. MICCAI (6) Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye
2019	J	`jnl`	Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. CoRR Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye
2019	J	`jnl`	Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN. CoRR Dongwook Lee, Won-Jin Moon, Jong Chul Ye
2018	J	`jnl`	A Mathematical Framework for Deep Learning in Elastic Source Imaging. CoRR Jaejun Yoo, Abdul Wahab, Jong Chul Ye
2018	J	`jnl`	A Mathematical Framework for Deep Learning in Elastic Source Imaging. SIAM J. Appl. Math. Jaejun Yoo, Abdul Wahab, Jong Chul Ye
2018	J	`jnl`	Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography. CoRR Eunhee Kang, Hyun Jung Koo, Dong Hyun Yang, Joon Bum Seo, Jong Chul Ye
2018	J	`jnl`	Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network. IEEE Trans. Medical Imaging Eunhee Kang, Won Chang, Jaejun Yoo, Jong Chul Ye
2018	J	`jnl`	Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems. SIAM J. Imaging Sci. Jong Chul Ye, Yoseob Han, Eunju Cha
2018	J	`jnl`	Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner. CoRR Yoseob Han, Jingu Kang, Jong Chul Ye
2018	Misc	`conf`	Deep Learning for Accelerated Ultrasound Imaging. ICASSP Yeo Hun Yoon, Jong Chul Ye
2018	J	`jnl`	Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks. IEEE Trans. Biomed. Eng. Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye
2018	J	`jnl`	Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks. CoRR Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye
2018	J	`jnl`	Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals. CoRR Kyong Hwan Jin, Gain Kim, Yusuf Leblebici, Jong Chul Ye, Michael Unser
2018	—	`conf`	Framelet denoising for low-dose CT using deep learning. ISBI Eunhee Kang, Jong Chul Ye
2018	J	`jnl`	Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT. IEEE Trans. Medical Imaging Yoseob Han, Jong Chul Ye
2018	J	`jnl`	Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy. IEEE Trans. Image Process. Junhong Min, Kyong Hwan Jin, Michael Unser, Jong Chul Ye
2018	J	`jnl`	Image Reconstruction is a New Frontier of Machine Learning. IEEE Trans. Medical Imaging Ge Wang, Jong Chul Ye, Klaus Mueller, Jeffrey A. Fessler
2018	—	`conf`	Improved Time-Resolved MRA Using k-Space Deep Learning. MLMIR@MICCAI Eunju Cha, Eung-Yeop Kim, Jong Chul Ye
2018	J	`jnl`	One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection. CoRR Yoseob Han, Jong Chul Ye
2018	J	`jnl`	Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach. CoRR Hyun-Seo Ahn, Sunghong Park, Jong Chul Ye
2018	J	`jnl`	Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal. IEEE Trans. Image Process. Kyong Hwan Jin, Jong Chul Ye
2018	J	`jnl`	Unified Theory for Recovery of Sparse Signals in a General Transform Domain. IEEE Trans. Inf. Theory Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye
2018	J	`jnl`	k-Space Deep Learning for Accelerated MRI. CoRR Yoseob Han, Jong Chul Ye
2018	J	`jnl`	k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography. CoRR Eunju Cha, Eung-Yeop Kim, Jong Chul Ye
2018	J	`jnl`	k-Space Deep Learning for Reference-free EPI Ghost Correction. CoRR Juyoung Lee, Yoseob Han, Jong Chul Ye
2017	J	`jnl`	A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media. SIAM J. Imaging Sci. Jaejun Yoo, YoungHoon Jung, Mikyoung Lim, Jong Chul Ye, Abdul Wahab
2017	—	`conf`	Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification. CVPR Workshops Woong Bae, Jaejun Yoo, Jong Chul Ye
2017	J	`jnl`	Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation. IEEE Trans. Inf. Theory Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin, Kiryung Lee
2017	J	`jnl`	Deep Convolutional Framelets: A General Deep Learning for Inverse Problems. CoRR Jong Chul Ye, Yoseob Han
2017	J	`jnl`	Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography. CoRR Jaejun Yoo, Sohail Sabir, Duchang Heo, Kee Hyun Kim, Abdul Wahab, Yoonseok Choi, Seul-I Lee, Eun Young Chae, Hak Hee Kim, Young Min Bae, Young-Wook Choi, Seungryong Cho, Jong Chul Ye
2017	J	`jnl`	Deep Learning Interior Tomography for Region-of-Interest Reconstruction. CoRR Yoseob Han, Jawook Gu, Jong Chul Ye
2017	J	`jnl`	Deep Learning for Accelerated Ultrasound Imaging. CoRR Yeo Hun Yoon, Jong Chul Ye
2017	J	`jnl`	Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging. CoRR Yeo Hun Yoon, Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
2017	J	`jnl`	Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR. CoRR Yoseob Han, Jaejun Yoo, Jong Chul Ye
2017	J	`jnl`	Deep artifact learning for compressed sensing and parallel MRI. CoRR Dongwook Lee, Jaejun Yoo, Jong Chul Ye
2017	—	`conf`	Deep residual learning for compressed sensing MRI. ISBI Dongwook Lee, Jaejun Yoo, Jong Chul Ye
2017	J	`jnl`	Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT. CoRR Yoseob Han, Jong Chul Ye
2017	J	`jnl`	Geometric GAN. CoRR Jae Hyun Lim, Jong Chul Ye
2017	J	`jnl`	Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction. CoRR Jawook Gu, Jong Chul Ye
2017	—	`conf`	NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
2017	J	`jnl`	Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction. CoRR Eunhee Kang, Junhong Min, Jong Chul Ye
2017	J	`jnl`	Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets. CoRR Eunhee Kang, Jaejun Yoo, Jong Chul Ye
2016	J	`jnl`	A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix. IEEE Trans. Computational Imaging Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye
2016	J	`jnl`	Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification. CoRR Woong Bae, Jaejun Yoo, Jong Chul Ye
2016	—	`conf`	Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation. ISBI Kyong Hwan Jin, Yoseob Han, Jong Chul Ye
2016	J	`jnl`	Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis. CoRR Yoseob Han, Jaejun Yoo, Jong Chul Ye
2016	—	`conf`	Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. ISBI Eun Ju Cha, Kyong Hwan Jin, Dongwook Lee, Eung-Yeop Kim, Seung Hong Choi, Jong Chul Ye
2016	B	`conf`	Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix. ICIP Kyong Hwan Jin, Jong Chul Ye
2016	B	`conf`	Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation. ICIP Kyong Hwan Jin, Dongwook Lee, Juyoung Lee, Jong Chul Ye
2016	—	`conf`	Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation. ISBI Juyoung Lee, Kyong Hwan Jin, Jong Chul Ye
2016	J	`jnl`	Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis. NeuroImage Young-Beom Lee, Jeonghyeon Lee, Sungho Tak, Kangjoo Lee, Duk L. Na, Sang Won Seo, Yong Jeong, Jong Chul Ye
2016	—	`conf`	Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix. ISBI Kyong Hwan Jin, Juyoung Lee, Dongwook Lee, Jong Chul Ye
2016	—	`conf`	Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach. ISBI Yoseob Han, Kyong Hwan Jin, Kyung Sang Kim, Jong Chul Ye
2016	J	`jnl`	Unified Theory for Recovery of Sparse Signals in a General Transform Domain. CoRR Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye
2016	J	`jnl`	WaveNet: a deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction. CoRR Eunhee Kang, Junhong Min, Jong Chul Ye
2015	J	`jnl`	A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model. IEEE Trans. Medical Imaging Ok Kyun Lee, Sungho Tak, Jong Chul Ye
2015	J	`jnl`	A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix. CoRR Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye
2015	—	`conf`	A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI. ISBI Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye
2015	J	`jnl`	Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting. IEEE Trans. Image Process. Kyong Hwan Jin, Jong Chul Ye
2015	J	`jnl`	Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation. CoRR Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin, Kiryung Lee
2015	J	`jnl`	Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty. IEEE Trans. Signal Process. Jong Chul Ye, Jong Min Kim, Yoram Bresler
2015	J	`jnl`	Improving M-SBL for Joint Sparse Recovery using a Subspace Penalty. CoRR Jong Chul Ye, Jong Min Kim, Yoram Bresler
2015	J	`jnl`	Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation. SIAM J. Imaging Sci. John Paul Ward, Minji Lee, Jong Chul Ye, Michael Unser
2015	J	`jnl`	Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation. SIAM J. Imaging Sci. Minji Lee, Yoseob Han, John Paul Ward, Michael Unser, Jong Chul Ye
2015	—	`conf`	Joint sparsity recovery method for the EIT problem to reconstruct anomalies. ISBI Ok Kyun Lee, Hyeonbae Kang, Mikyoung Lim, Jong Chul Ye
2015	—	`conf`	Multiband dynamic compressed sensing. ISBI Huisu Yoon, Dongwook Lee, Juyoung Lee, Seung Hong Choi, Sunghong Park, Jong Chul Ye
2015	—	`conf`	Patch based low rank structured matrix completion for accelerated scanning microscopy. ISBI Kyong Hwan Jin, Junhong Min, Jong Chul Ye
2015	J	`jnl`	Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal. CoRR Kyong Hwan Jin, Jong Chul Ye
2015	J	`jnl`	Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty. IEEE Trans. Medical Imaging Kyung Sang Kim, Jong Chul Ye, William Worstell, Jinsong Ouyang, Yothin Rakvongthai, Georges El Fakhri, Quanzheng Li
2014	—	`conf`	Accurate inversion of absorption and scattering in diffuse optical tomography without iterative Green's function update. ISBI Ok Kyun Lee, Jong Chul Ye
2014	J	`jnl`	Compressed sensing fMRI using gradient-recalled echo and EPI sequences. NeuroImage Xiaopeng Zong, Juyoung Lee, Alexander John Poplawsky, Seong-Gi Kim, Jong Chul Ye
2014	—	`conf`	ECG-gated cardiac CT reconstruction using patch based low rank regularization. ISBI Kyung Sang Kim, Jong Chul Ye
2014	—	`conf`	Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing. GlobalSIP Huisu Yoon, Sunghong Park, Jong Chul Ye
2014	J	`jnl`	Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI. IEEE Trans. Medical Imaging Huisu Yoon, Kyung Sang Kim, Daniel Kim, Yoram Bresler, Jong Chul Ye
2014	J	`jnl`	Statistical analysis of fNIRS data: A comprehensive review. NeuroImage Sungho Tak, Jong Chul Ye
2014	—	`conf`	T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. ISBI Dongwook Lee, Eung-Yeop Kim, Huisu Yoon, Sunghong Park, Jong Chul Ye
2014	—	`conf`	TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm. ISBI Kyung Sang Kim, Jong Chul Ye, Li Cheng, Kui Ying, Georges El Fakhri, Quanzheng Li
2014	J	`jnl`	Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology. NeuroImage Arshi Khalid, Byung Sun Kim, Moo K. Chung, Jong Chul Ye, Daejong Jeon
2014	J	`jnl`	Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3-D PET. IEEE J. Biomed. Health Informatics Kyung Sang Kim, Young-Don Son, Zang-Hee Cho, Jong Beom Ra, Jong Chul Ye
2013	—	`conf`	Continuous localization using sparsity constraints for high-density super-resolution microscopy. ISBI Junhong Min, Cédric Vonesch, Nicolas Olivier, Hagai Kirshner, Suliana Manley, Jong Chul Ye, Michael Unser
2013	J	`jnl`	Corrections to "Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing". IEEE Trans. Inf. Theory Jong Min Kim, Jong Chul Ye
2013	—	`conf`	Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization. ISBI Kyung Sang Kim, Young-Don Son, Zang-Hee Cho, Jong Beom Ra, Jong Chul Ye
2013	—	`conf`	Group sparse dictionary learning and inference for resting-state fMRI analysis of Alzheimer'S disease. ISBI Jeonghyeon Lee, Yong Jeong, Jong Chul Ye
2013	—	`conf`	Improving resolution of fluorescent microscopy using speckle illumination and joint sparse recovery. ISBI Jong Chul Ye, Junhong Min, Jaeduck Jang
2013	—	`conf`	Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction. ISBI Huisu Yoon, Kyung Sang Kim, Jong Chul Ye
2013	—	`conf`	Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning. ISBI Jaejun Yoo, Jongmin Kim, Chang-Hwan Im, Jong Chul Ye
2013	—	`conf`	Parallel proximal algorithm for interior tomography problems in x-ray CT with tiny a priori knowledge. ISBI Minji Lee, Jong Chul Ye
2013	Misc	`conf`	Subspace penalized sparse learning for joint sparse recovery. ICASSP Jong Chul Ye, Jong Min Kim, Yoram Bresler
2012	—	`conf`	A statistical framework for material decomposition using multi-energy photon counting x-ray detector. ISBI Jiyoung Choi, Dong-Goo Kang, Sunghoon Kang, Younghun Sung, Jong Chul Ye
2012	—	`conf`	Compressed sensing reconstruction of statistical parameter map for functional diffuse optical tomography. ISBI Ok Kyun Lee, Hua Li, Sungho Tak, Jong Chul Ye
2012	J	`jnl`	Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing. IEEE Trans. Inf. Theory Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2012	—	`conf`	Compressive subspace fitting for multiple measurement vectors. SSP Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2012	Misc	`conf`	Dynamic sparse support tracking with multiple measurement vectors using compressive MUSIC. ICASSP Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2012	J	`jnl`	Improving Noise Robustness in Subspace-Based Joint Sparse Recovery. IEEE Trans. Signal Process. Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2012	—	`conf`	Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation. ISBI Kyung Sang Kim, Young Hoon Seong, Jongha Lee, Kwang Eun Jang, Jong Chul Ye
2012	—	`conf`	MMSE optimal non-local motion compensated k-t FOCUSS for compressed sensing cardiac cine imaging. ISBI Huisu Yoon, Jong Chul Ye
2012	B	`conf`	Resting-state fMRI analysis of Alzheimer's disease progress using sparse dictionary learning. SMC Jeonghyeon Lee, Jong Chul Ye
2011	J	`jnl`	A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion. IEEE Trans. Medical Imaging Kangjoo Lee, Sungho Tak, Jong Chul Ye
2011	—	`conf`	A data-driven spatially adaptive sparse generalized linear model for functional MRI analysis. ISBI Kangjoo Lee, Sungho Tak, Jong Chul Ye
2011	J	`jnl`	Belief propagation for joint sparse recovery CoRR Jongmin Kim, Woohyuk Chang, Bang Chul Jung, Dror Baron, Jong Chul Ye
2011	J	`jnl`	Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity. IEEE Trans. Medical Imaging Ok Kyun Lee, Jong Min Kim, Yoram Bresler, Jong Chul Ye
2011	J	`jnl`	Compressive MUSIC with optimized partial support for joint sparse recovery CoRR Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2011	B	`conf`	Compressive MUSIC with optimized partial support for joint sparse recovery. ISIT Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2011	—	`conf`	Diffuse optical tomography using generalized music algorithm. ISBI Ok Kyun Lee, Jongmin Kim, Yoram Bresler, Jong Chul Ye
2011	J	`jnl`	Exact Dynamic Support Tracking with Multiple Measurement Vectors using Compressive MUSIC CoRR Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2011	—	`conf`	L0-compressed sensing for parallel dynamic MRI using sparse Bayesian learning. ISBI Hong Jung, Huisu Yoon, Jong Chul Ye
2011	J	`jnl`	Noise Robust Joint Sparse Recovery using Compressive Subspace Fitting CoRR Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2011	J	`jnl`	Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements. NeuroImage Sungho Tak, Soo Jin Yoon, Jaeduck Jang, Kwangsun Yoo, Yong Jeong, Jong Chul Ye
2011	—	`conf`	Sparse topological data recovery in medical images. ISBI Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Chul Ye
2010	—	`conf`	A sparse Bayesian learning for highly accelerated dynamic MRI. ISBI Hong Jung, Jong Chul Ye
2010	J	`jnl`	Compressive MUSIC: A Missing Link Between Compressive Sensing and Array Signal Processing CoRR Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
2010	—	`conf`	Compressive inverse scattering using ultrashort pulses. Computational Imaging Kyung Hwan Jin, Kanghee Lee, Jaewook Ahn, Jong Chul Ye
2010	J	`jnl`	Motion estimated and compensated compressed sensing dynamic magnetic resonance imaging: What we can learn from video compression techniques. Int. J. Imaging Syst. Technol. Hong Jung, Jong Chul Ye
2010	—	`conf`	Statistical parametric mapping of FMRI data using sparse dictionary learning. ISBI Kangjoo Lee, Jong Chul Ye
2009	—	`conf`	AB Initio Maximum Likelihood Reconstruction of Helical Macromolecules Using Electron Microscopy. ISBI Min Woo Kim, Jong Chul Ye
2009	—	`conf`	Compressed Sensing Metal Artifact Removal in Dental CT. ISBI Jiyoung Choi, Min Woo Kim, Won Seong, Jong Chul Ye
2009	J	`jnl`	NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy. NeuroImage Jong Chul Ye, Sungho Tak, Kwang Eun Jang, Jinwook Jung, Jaeduck Jang
2009	—	`conf`	Performance Evaluation of Accelerated Functional MRI Acquisition Using Compressed Sensing. ISBI Hong Jung, Jong Chul Ye
2009	B	`conf`	Single channel 2-D and 3-D blind image deconvolution for circularly symmetric fir blurs. ICIP Kwang Eun Jang, Hee Won Yang, Jong Chul Ye
2008	—	`conf`	3D macromolecule structure reconstruction from electron micrograph by exploiting symmetry and sparsity. Computational Imaging Min Woo Kim, Jiyoung Choi, Jong Chul Ye
2008	—	`conf`	Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation. ISBI Jong Chul Ye, Su Yeon Lee, Yoram Bresler
2008	—	`conf`	General linear model and inference for near infrared spectroscopy using global confidence region analysis. ISBI Sungho Tak, Kwang Eun Jang, Jinwook Jung, Jaeduck Jang, Jong Chul Ye
2008	—	`conf`	High resolution dynamic MRI using motion estimated and compensated compressed sensing. ISBI Hong Jung, Jong Chul Ye
2008	Misc	`conf`	Non-iterative exact inverse scattering using simultaneous orthogonal matching pursuit (S-OMP). ICASSP Jong Chul Ye, Su Yeon Lee
2007	J	`jnl`	Compressed Sensing Shape Estimation of Star-Shaped Objects in Fourier Imaging. IEEE Signal Process. Lett. Jong Chul Ye
2007	—	`conf`	Cryo-electron microscopy single particle reconstruction of virus particles using compressed sensing theory. Computational Imaging Min Woo Kim, Jiyoung Choi, Liu Yu, Kyung Eun Lee, Sung-Sik Han, Jong Chul Ye
2007	—	`conf`	Generalized K-T Blast and K-T Sense Using Focuss. ISBI Hong Jung, Jaeheung Yoo, Jong Chul Ye
2007	—	`conf`	High resolution projection reconstruction MR imaging using FOCUSS. Computational Imaging Sungho Tak, Jaeheung Yoo, Jong Chul Ye
2007	—	`conf`	Single Channel Exact Blind Image Deconvolution from Radially Symmmetric Fir Blur. ISBI Kwang Eun Jang, Jong Chul Ye
2006	J	`jnl`	Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems. IEEE Trans. Image Process. Jong Chul Ye, Pierre Moulin, Yoram Bresler
2006	—	`conf`	x-f SENSE: optimal spatio-temporal sensitivity encoding for dynamic MR imaging. ISBI Jinhee Kim, Jong Chul Ye, Jaehung Yoo
2005	—	`conf`	In vivo optical molecular imaging: principles and signal processing issues. ICASSP (5) Jong Chul Ye, Kevin J. Webb, Rick P. Millane, Charles A. Bouman
2003	B	`conf`	Channel adaptive prioritized transmission of layered video over wireless LAN. PIMRC Yingwei Chen, Carles Ruiz Floriach, Jong Chul Ye, Kiran S. Challapali
2003	J	`jnl`	Cramer-Rao bounds for parametric shape estimation in inverse problems. IEEE Trans. Image Process. Jong Chul Ye, Yoram Bresler, Pierre Moulin
2003	—	`conf`	Rate-distortion optimized data partitioning for video using backward adaptation. ICASSP (3) Jong Chul Ye, Yingwei Chen
2003	—	`conf`	Video streaming over wireless LAN with efficient scalable coding and prioritized adaptive transmission. ICIP (3) Yingwei Chen, Jong Chul Ye, Carles Ruiz Floriach, Kiran S. Challapali
2002	J	`jnl`	A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples. Int. J. Comput. Vis. Jong Chul Ye, Yoram Bresler, Pierre Moulin
2002	—	`conf`	Cramer-Rao bounds for parametric shape estimation. ICIP (2) Jong Chul Ye, Yoram Bresler, Pierre Moulin
2001	—	`conf`	A self-referencing level-set method for image reconstruction from sparse Fourier samples. ICIP (2) Jong Chul Ye, Yoram Bresler, Pierre Moulin
2001	J	`jnl`	Nonlinear multigrid algorithms for Bayesian optical diffusion tomography. IEEE Trans. Image Process. Jong Chul Ye, Charles A. Bouman, Kevin J. Webb, Rick P. Millane
2000	J	`jnl`	Asymptotic global confidence regions in parametric shape estimation problems. IEEE Trans. Inf. Theory Jong Chul Ye, Yoram Bresler, Pierre Moulin
2000	Misc	`conf`	Global confidence regions in parametric shape estimation. ICASSP Jong Chul Ye, Yoram Bresler, Pierre Moulin
1999	—	`conf`	Nonlinear Multigrid Optimization for Bayesian Diffusion Tomography. ICIP (2) Jong Chul Ye, Charles A. Bouman, Rick P. Millane, Kevin J. Webb
1998	—	`conf`	Optimal Parameter Updating for Optical Diffusion Imaging. ICIP (3) Jong Chul Ye, Kevin J. Webb, Rick P. Millane, Thomas J. Downar