@article{chung2026contextmri,
  nums = {J180},
  selected = {true},
  author = {Hyungjin Chung and Dohun Lee and Zihui Wu and Byung-Hoon Kim and Katherine L. Bouman and Jong Chul Ye},
  title = {ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning},
  journal = {Medical Image Analysis (in press)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2501.04284},
}

@inproceedings{kwon2026accelerating,
  nums = {C109},
  selected = {true},
  author = {Taesung Kwon and Jonghyun Park and Hyungjin Chung and Jong Chul Ye},
  title = {Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2026},
  arxiv = {2605.20624},
  bibtex_show = {true},
}

@inproceedings{kim2026accelerated,
  nums = {C108},
  selected = {true},
  author = {Jeongsol Kim and Jong Chul Ye and Yufei Wang and Jian Wang},
  title = {Accelerated Image Editing via Consistency-Aware Source Token Pruning},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2026},
  bibtex_show = {true},
}

@inproceedings{kim2026motioncfg,
  nums = {C107},
  selected = {true},
  author = {Byungjun Kim and Soobin Um and Jong Chul Ye},
  title = {MotionCFG: Boosting Motion Dynamics via Semantic Motion Sharpening},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2026},
  bibtex_show = {true},
}

@inproceedings{lee2026reward,
  nums = {C106},
  selected = {true},
  author = {Jeongjae Lee and Jinho Chang and Jeongsol Kim and Jong Chul Ye},
  title = {Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2026},
  doi = {10.48550/arXiv.2604.17415},
  bibtex_show = {true},
  arxiv = {2604.17415},
}

@inproceedings{jin2026crepe,
  nums = {C105},
  selected = {true},
  author = {Seonghyun Jin and Youngmin Kim and Sunwoo Park and Jong Chul Ye},
  title = {CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2605.12938},
}

@inproceedings{lee2026aligning,
  nums = {C104},
  author = {Jaewoo Lee and Hyeongyu Kang and Dohyun Kim and Kyuil Sim and Woocheol Shin and Minsu Kim and Taeyoung Yun and Jeongjae Lee and Sanghyeok Choi and Tabitha Edith Lee and Jong Chul Ye and Jinkyoo Park},
  title = {Aligning Few-Step Generative Model via Amortizing Sample-Based Variational Inference},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2026},
  bibtex_show = {true},
}

@inproceedings{kim-etal-2026-dementia,
  nums = {C103},
    title = "Dementia-{R}1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis",
    author = "Kim, Choonghan and Hwang, Hyunmin and Chang, Hangeol and Kim, Jaemin and Park, Jinse and Lim, Jae-Sung and Jong Chul Ye",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    arxiv = "2601.03018",
}

@inproceedings{kim-ye-2026-adaptive,
  nums = {C102},
    title = "Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models",
    author = "Kim, Jaemin and Jong Chul Ye",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2026",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    arxiv = "2603.17677",
}

@inproceedings{huh-etal-2026-pace,
  nums = {C101},
    title = "{PACE}-{RAG}: Patient-Aware Contextual and Evidence-Constrained {RAG} for Clinical Drug Recommendation",
    author = "Huh, Chaeyoung and Hwang, Hyunmin and Shin, Jung Hwan and Jo, Sungyang and Park, Jinse and Jong Chul Ye",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2026",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    arxiv = "2603.17356",
}

@book{ye2022geometry,
  nums = {B1},
  author = {Jong Chul Ye},
  title = {Geometry of Deep Learning: A Signal Processing Perspective},
  publisher = {Springer},
  address = {Singapore},
  series = {Mathematics in Industry},
  year = {2022},
  isbn = {978-981-16-6045-0},
  doi = {10.1007/978-981-16-6046-7},
  bibtex_show = {true},
}

@book{ye2023deep,
  nums = {B2},
  author = {Jong Chul Ye and Yonina C. Eldar and Michael Unser},
  editor = {Jong Chul Ye and Yonina C. Eldar and Michael Unser},
  title = {Deep Learning for Biomedical Image Reconstruction},
  publisher = {Cambridge University Press},
  address = {Cambridge},
  year = {2023},
  isbn = {978-1-316-51751-2},
  doi = {10.1017/9781009042529},
  additional_info = { (edited volume)},
  bibtex_show = {true},
}

@inproceedings{jin2026filt3r,
  nums = {C100},
  author = {Seonghyun Jin and Jong Chul Ye},
  title = {FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction},
  booktitle = {The 19th European Conference on Computer Vision (ECCV)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2603.18493},
}

@inproceedings{hong2026inversec,
  nums = {C99},
  author = {Yeobin Hong and Suhyeon Lee and Hyungjin Chung and Jong Chul Ye},
  title = {InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem},
  booktitle = {The 19th European Conference on Computer Vision (ECCV)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2512.05672},
}

@inproceedings{kim2026tiled,
  nums = {C98},
  author = {Bryan Sangwoo Kim and Jonghyun Park and Jong Chul Ye},
  title = {Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution},
  booktitle = {The 19th European Conference on Computer Vision (ECCV)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2602.03342},
}

@inproceedings{lee2026memoryv2,
  nums = {C97},
  author = {Dohun Lee and Chun-Hao Paul Huang and Xuelin Chen and Jong Chul Ye and Duygu Ceylan and Hyeonho Jeong},
  title = {Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing},
  booktitle = {The 19th European Conference on Computer Vision (ECCV)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2601.16296},
}

@inproceedings{park20263dregen,
  nums = {C96},
  author = {Geon Yeong Park and Roman Shapovalov and Rakesh Ranjan and Jong Chul Ye and Andrea Vedaldi and Thu Nguyen-Phuoc},
  title = {3D-ReGen: A Unified 3D Geometry Regeneration Framework},
  booktitle = {The 19th European Conference on Computer Vision (ECCV)},
  year = {2026},
  bibtex_show = {true},
}

@inproceedings{hong2026unifying,
  nums = {C95},
  author = {Chunsan Hong and Sanghyun Lee and Jong Chul Ye},
  title = {Unifying Masked Diffusion Models with Various Generation Orders and Beyond},
  booktitle = {International Conference on Machine Learning ( ICML )},
  year = {2026},
  bibtex_show = {true},
  note = {spotlight, top 2.2\%},
  arxiv = {2602.02112},
}

@inproceedings{kim2026universa,
  nums = {C94},
  author = {Jaemin Kim and Hangeol Chang and Hyunmin Hwang and Choonghan Kim and Jong Chul Ye},
  title = {Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs},
  booktitle = {International Conference on Machine Learning ( ICML )},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2505.19075},
}

@inproceedings{lee2026alignmen,
  nums = {C93},
  author = {Jaa-Yeon Lee and Yeobin Hong and Taesung Kwon and Jong Chul Ye},
  title = {Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models},
  booktitle = {International Conference on Machine Learning ( ICML )},
  year = {2026},
  bibtex_show = {true},
  note = {spotlight, top 2.2\%},
  arxiv = {2605.30038},
}

@inproceedings{kim2026align,
  nums = {C92},
  author = {Beomsu Kim and ByungHee Cha and Jong Chul Ye},
  title = {Align Your Trajectory Tangent: Training Better Consistency Models via Manifold-Aligned Tangents},
  booktitle = {International Conference on Machine Learning ( ICML )},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2510.00658},
}

@inproceedings{chang2026contrast,
  nums = {C91},
  author = {Jinho Chang and Changsun Lee and Hyungjin Chung and Jong Chul Ye},
  title = {ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts},
  booktitle = {International Conference on Machine Learning ( ICML )},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2411.17077},
}

@inproceedings{lee2026promptlo,
  nums = {C90},
  author = {Suhyeon Lee and Jong Chul Ye},
  title = {PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2510.00430},
}

@inproceedings{park2026redirect,
  nums = {C89},
  author = {Byeongjun Park and Byung-Hoon Kim and Hyungjin Chung and Jong Chul Ye},
  title = {ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2511.19827},
}

@inproceedings{kwon2026reviving,
  nums = {C88},
  author = {Taesung Kwon and Lorenzo Bianchi and Lennart Wittke and Felix Watine and Fabio Carrara and Jong Chul Ye and Romann M. Weber and Vinicius C. Azevedo},
  title = {Reviving ConvNeXt for Efficient Convolutional Diffusion Models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2603.09408},
}

@inproceedings{park2026zero4d,
  nums = {C87},
  author = {Jangho Park and Taesung Kwon and Jong Chul Ye},
  title = {Zero4D: Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video Diffusion Models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2503.22622},
}

@inproceedings{chang2026training,
  nums = {C86},
  author = {Jinho Chang and Jaemin Kim and Jong Chul Ye},
  title = {Training-Free Reward-Guided Image Editing via Trajectory Optimal Control},
  booktitle = {Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2509.25845},
}

@inproceedings{hong2026improvin,
  nums = {C85},
  author = {Chunsan Hong and Seonho An and Min-Soo Kim and Jong Chul Ye},
  title = {Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies},
  booktitle = {Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2510.05725},
}

@inproceedings{lee2026pcpo,
  nums = {C84},
  author = {Jeongjae Lee and Jong Chul Ye},
  title = {PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models},
  booktitle = {Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)},
  year = {2026},
  bibtex_show = {true},
}

@inproceedings{kim2026flowalig,
  nums = {C83},
  author = {Jeongsol Kim and Yeobin Hong and Jonghyun Park and Jong Chul Ye},
  title = {FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing},
  booktitle = {Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2505.23145},
}

@inproceedings{kim2026diverse,
  nums = {C82},
  author = {Byungjun Kim and Soobin Um and Jong Chul Ye},
  title = {Diverse Text-to-Image Generation via Contrastive Noise Optimization},
  booktitle = {Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2510.03813},
}

@inproceedings{park2026dreammak,
  nums = {C81},
  author = {Geon Yeong Park and Inhwa Han and Serin Yang and Yeobin Hong and Seongmin Jeong and Heechan Jeon and Myeongjin Goh and Sung Yi and Jin Nam and Jong Chul Ye},
  title = {DreamMakeup: Face Makeup Customization using Latent Diffusion Models},
  booktitle = {The IEEE/CVF Winter Conference on Applications of Computer Vision},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2510.10918},
}

@inproceedings{kim2025chainofz,
  nums = {C80},
  author = {Bryan Sangwoo Kim and Jeongsol Kim and Jong Chul Ye},
  title = {Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2025},
  bibtex_show = {true},
  note = {Spotlight},
  arxiv = {2505.18600},
}

@inproceedings{lee2025aligning,
  nums = {C79},
  author = {Jaa-Yeon Lee and ByungHee Cha and Jeongsol Kim and Jong Chul Ye},
  title = {Aligning Text to Image in Diffusion Models is Easier Than You Think},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2503.08250},
}

@inproceedings{yao2025guided,
  nums = {C78},
  author = {Jiachen Yao and Abbas Mammadov and Julius Berner and Gavin Kerrigan and Jong Chul Ye and Kamyar Azizzadenesheli and Anima Anandkumar},
  title = {Guided Diffusion Sampling on Function Spaces with Applications to PDEs},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2505.17004},
}

@inproceedings{elata2025invfussi,
  nums = {C77},
  author = {Noam Elata and Hyungjin Chung and Jong Chul Ye and Tomer Michaeli and Michael Elad},
  title = {InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2025},
  bibtex_show = {true},
}

@inproceedings{jeong2025reanglea,
  nums = {C76},
  author = {Hyeonho Jeong and Suhyeon Lee and Jong Chul Ye},
  title = {Reangle-A-Video: 4D Video Generation as Video-to-Video Translation},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2503.09151},
}

@inproceedings{kwon2025visionxl,
  nums = {C75},
  author = {Taesung Kwon and Jong Chul Ye},
  title = {VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2412.00156},
}

@inproceedings{kim2025free2gui,
  nums = {C74},
  author = {Jaemin Kim and Bryan Sangwoo Kim and Jong Chul Ye},
  title = {Free2Guide: Training-Free Text-to-Video Alignment using Image LVLM},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii},
  year = {2025},
  bibtex_show = {true},
}

@inproceedings{kim2025flowdps,
  nums = {C73},
  author = {Jeongsol Kim and Bryan Sangwoo Kim and Jong Chul Ye},
  title = {FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2503.08136},
}

@inproceedings{park2025inferenc,
  nums = {C72},
  author = {Geon Yeong Park and Sang Wan Lee and Jong Chul Ye},
  title = {Inference-Time Diffusion Model Distillation},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2412.08871},
}

@inproceedings{um2025boostand,
  nums = {C71},
  author = {Soobin Um and Beomsu Kim and Jong Chul Ye},
  title = {Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation},
  booktitle = {International Conference on Machine Learning ( ICML )},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2502.06516},
}

@inproceedings{chang2025ldmol,
  nums = {C70},
  author = {Jinho Chang and Jong Chul Ye},
  title = {LDMol: Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Space Surpass the AR Models},
  booktitle = {International Conference on Machine Learning ( ICML )},
  year = {2025},
  bibtex_show = {true},
}

@inproceedings{um2025minority,
  nums = {C69},
  author = {Soobin Um and Jong Chul Ye},
  title = {Minority-Focused Text-to-Image Generation via Prompt Optimization},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ) , 2025},
  year = {2025},
  bibtex_show = {true},
  note = {selected as oral presentation, top 0.74\%},
  arxiv = {2410.07838},
}

@inproceedings{nam2025opticalf,
  nums = {C68},
  author = {Hyelin Nam and Jaemin Kim and Dohun Lee and Jong Chul Ye},
  title = {Optical-Flow Guided Prompt Optimization for Coherent Video Generation},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2411.15540},
}

@inproceedings{kim2025derivati,
  nums = {C67},
  author = {Won Jun Kim and Hyungjin Chung and Jaemin Kim and Sangmin Lee and Byeongsu Sim and Jong Chul Ye},
  title = {Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2411.15265},
}

@inproceedings{lee2025videogui,
  nums = {C66},
  author = {Dohun Lee and Bryan Sangwoo Kim and Geon Yeong Park and Jong Chul Ye},
  title = {VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2410.04364},
}

@inproceedings{jeong2025track4ge,
  nums = {C65},
  author = {Hyeonho Jeong and Chun-Hao Paul Huang and Jong Chul Ye and Niloy Mitra and Duygu Ceylan},
  title = {Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2412.06016},
}

@inproceedings{kwon2025solving,
  nums = {C64},
  author = {Taesung Kwon and Jong Chul Ye},
  title = {Solving Video Inverse Problems Using Image Diffusion Models},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2409.02574},
}

@inproceedings{chung2025cfg,
  nums = {C63},
  author = {Hyungjin Chung and Jeongsol Kim and Geon Yeong Park and Hyelin Nam and Jong Chul Ye},
  title = {CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2406.08070},
}

@inproceedings{kim2025regulari,
  nums = {C62},
  author = {Jeongsol Kim and Geon Yeong Park and Hyungjin Chung and Jong Chul Ye},
  title = {Regularization by Texts for Latent Diffusion Inverse Solvers},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2311.15658},
}

@inproceedings{yang2025vibidsam,
  nums = {C61},
  author = {Serin Yang and Taesung Kwon and Jong Chul Ye},
  title = {ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2410.05651},
}

@inproceedings{kwon2025tweediem,
  nums = {C60},
  author = {Gihyun Kwon and Jong Chul Ye},
  title = {TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2410.05591},
}

@inproceedings{kim2025generali,
  nums = {C59},
  author = {Beomsu Kim and Jaemin Kim and Jeongsol Kim and Jong Chul Ye},
  title = {Generalized Consistency Trajectory Models for Image Manipulation},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2403.12510},
}

@inproceedings{kim2025simple,
  nums = {C58},
  author = {Beomsu Kim and Yu-Guan Hsieh and Michal Klein and marco cuturi and Jong Chul Ye and Bahjat Kawar and James Thornton},
  title = {Simple ReFlow: Improved Techniques for Fast Flow Models},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2410.07815},
}

@inproceedings{park2025spectral,
  nums = {C57},
  author = {Geon Yeong Park and Hyeonho Jeong and Sang Wan Lee and Jong Chul Ye},
  title = {Spectral Motion Alignment for Video Motion Transfer using Diffusion Models},
  booktitle = {Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2403.15249},
}

@inproceedings{jeong2024dreammot,
  nums = {C56},
  author = {Hyeonho Jeong and Jinho Chang and Geon Yeong Park and Jong Chul Ye},
  title = {DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing},
  booktitle = {Proceedings of 2024 European Conference on Computer Vision (ECCV)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2403.12002},
}

@inproceedings{um2024selfguid,
  nums = {C55},
  author = {Soobin Um and Jong Chul Ye},
  title = {Self-Guided Generation of Minority Samples Using Diffusion Models},
  booktitle = {Proceedings of 2024 European Conference on Computer Vision (ECCV)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2407.11555},
}

@inproceedings{ye2024deep,
  nums = {C54},
  author = {Hyungjin Chung and Jong Chul Ye},
  title = {Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems},
  booktitle = {Proceedings of 2024 European Conference on Computer Vision (ECCV)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2407.10641},
}

@inproceedings{kim2024otseg,
  nums = {C53},
  author = {Kwanyoung Kim and Yujin Oh and Jong Chul Ye},
  title = {OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation},
  booktitle = {Proceedings of 2024 European Conference on Computer Vision (ECCV)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2403.14183},
}

@inproceedings{kim2024dreamsam,
  nums = {C52},
  author = {Jeongsol Kim and Geon Yeong Park and Jong Chul Ye},
  title = {DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation},
  booktitle = {Proceedings of 2024 European Conference on Computer Vision (ECCV)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2403.11415},
}

@inproceedings{lee2024defining,
  nums = {C51},
  author = {Sangmin Lee and Abbas Mammadov and Jong Chul Ye},
  title = {Defining Neural Network Architecture through Polytope Structures of Dataset},
  booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2402.02407},
}

@inproceedings{chung2024prompttu,
  nums = {C50},
  author = {Hyungjin Chung and Jong Chul Ye and Peyman Milanfar and Mauricio Delbracio},
  title = {Prompt-tuning latent diffusion models for inverse problems},
  booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2310.01110},
}

@inproceedings{nam2024contrast,
  nums = {C49},
  author = {Hyelin Nam and Gihyun Kwon and Geon Yeong Park and Jong Chul Ye},
  title = {Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2311.18608},
}

@inproceedings{jeong2024oneshot,
  nums = {C48},
  author = {Hyeonho Jeong and Geon Yeong Park and Jong Chul Ye},
  title = {One-Shot Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2024},
  bibtex_show = {true},
}

@inproceedings{park2024selfsupe,
  nums = {C47},
  author = {Geon Yeong Park and Chanyong Jung and Sangmin Lee and Jong Chul Ye and Sang Wan Lee},
  title = {Self-supervised debiasing using low rank regularization},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2210.05248},
}

@inproceedings{kwon2024concept,
  nums = {C46},
  author = {Gihyun Kwon and Simon Jenni and Dingzeyu Li and Joon-Young Lee and Jong Chul Ye and Fabian Caba Heilbron},
  title = {Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2404.03913},
}

@inproceedings{jeong2024groundav,
  nums = {C45},
  author = {Hyeonho Jeong and Jong Chul Ye},
  title = {Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models},
  booktitle = {International Conference on Learning Representations ( ICLR )},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2310.01107},
}

@inproceedings{chung2024decompos,
  nums = {C44},
  author = {Hyungjin Chung and Suhyeon Lee and Jong Chul Ye},
  title = {Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems},
  booktitle = {International Conference on Learning Representations ( ICLR )},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2303.05754},
}

@inproceedings{kim2024unpaired,
  nums = {C43},
  author = {Beomsu Kim and Gihyun Kwon and Kwanyoung Kim and Jong Chul Ye},
  title = {Unpaired Image-to-Image Translation via Neural Schrödinger Bridge},
  booktitle = {International Conference on Learning Representations ( ICLR )},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2305.15086},
}

@inproceedings{um2024dont,
  nums = {C42},
  author = {Soobin Um and Suhyeon Lee and Jong Chul Ye},
  title = {Don't Play Favorites: Minority Guidance for Diffusion Models},
  booktitle = {International Conference on Learning Representations ( ICLR )},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2301.12334},
}

@inproceedings{park2024ednerf,
  nums = {C41},
  author = {JangHo Park and Gihyun Kwon and Jong Chul Ye},
  title = {ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF},
  booktitle = {International Conference on Learning Representations ( ICLR )},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2310.02712},
}

@inproceedings{lee2024llmcxr,
  nums = {C40},
  author = {Suhyeon Lee and Won Jun Kim and Jinho Chang and Jong Chul Ye},
  title = {LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation},
  booktitle = {International Conference on Learning Representations ( ICLR )},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2305.11490},
}

@inproceedings{jung2024patchwis,
  nums = {C39},
  author = {Chanyong Jung and Gihyun Kwon and Jong Chul Ye},
  title = {Patch-Wise Graph Contrastive Learning for Image Translation},
  booktitle = {The 38th Annual AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2312.08223},
}

@inproceedings{park2023energyba,
  nums = {C38},
  author = {Geon Yeong Park and Jeongsol Kim and Beomsu Kim and Sang Wan Lee and Jong Chul Ye},
  title = {Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2306.09869},
}

@inproceedings{chung2023direct,
  nums = {C37},
  author = {Hyungjin Chung and Jeongsol Kim and Jong Chul Ye},
  title = {Direct Diffusion Bridge using Data Consistency for Inverse Problems},
  booktitle = {Conference on Neural Information Processing Systems ( NeurIPS )},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2305.19809},
}

@inproceedings{yang2023zeroshot,
  nums = {C36},
  author = {Serin Yang and Hyunmin Hwang and Jong Chul Ye},
  title = {Zero-shot contrastive loss for text-guided diffusion image style transfer},
  booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2303.08622},
}

@inproceedings{lee2023improvin,
  nums = {C35},
  author = {S. Lee and H. Chung and M. Park and J. Park and W. S. Ryu and Jong Chul Ye},
  title = {Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models},
  booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2303.08440},
}

@inproceedings{kim2023denoisin,
  nums = {C34},
  author = {Beomsu Kim and Jong Chul Ye},
  title = {Denoising MCMC for Accelerating Diffusion-Based Generative Models},
  booktitle = {International Conference on Machine Learning ( ICML ), oral presentation},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2209.14593},
}

@inproceedings{lee2023minimizi,
  nums = {C33},
  author = {Sangyun Lee and Beomsu Kim and Jong Chul Ye},
  title = {Minimizing Trajectory Curvature of ODE-based Generative Models},
  booktitle = {International Conference on Machine Learning ( ICML ), (2023)},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2301.12003},
}

@inproceedings{park2023training,
  nums = {C32},
  author = {Geon Yeong Park and Sangmin Lee and Sang Wan Lee and Jong Chul Ye},
  title = {Training debiased subnetworks with contrastive weight pruning},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2210.05247},
}

@inproceedings{chung2023parallel,
  nums = {C31},
  author = {Hyungjin Chung and Jeongsol Kim and Sehui Kim and Jong Chul Ye},
  title = {Parallel Diffusion Models of Operator and Image for Blind Inverse Problems},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2211.10656},
}

@inproceedings{chung2023solving,
  nums = {C30},
  author = {Hyungjin Chung and Dohoon Ryu and Michael T. Mccann and Marc L. Klasky and Jong Chul Ye},
  title = {Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2211.10655},
}

@inproceedings{chung2023diffusio,
  nums = {C29},
  author = {Hyungjin Chung and Jeongsol Kim and Michael Thompson Mccann and Marc Louis Klasky and Jong Chul Ye},
  title = {Diffusion Posterior Sampling for General Noisy Inverse Problems},
  booktitle = {International Conference on Learning Representations ( ICLR ), 2023 Spotlight Presentation},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2209.14687},
}

@inproceedings{kim2023diffusio,
  nums = {C28},
  author = {Boah Kim and Yujin Oh and Jong Chul Ye},
  title = {Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation},
  booktitle = {International Conference on Learning Representations ( ICLR )},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2209.14566},
}

@inproceedings{kwon2023diffusio,
  nums = {C27},
  author = {Gihyun Kwon and Jong Chul Ye},
  title = {Diffusion-based Image Translation using disentangled style and content representation},
  booktitle = {International Conference on Learning Representations ( ICLR )},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2209.15264},
}

@inproceedings{lee2022progress,
  nums = {C26},
  author = {Sangyun Lee and Hyungjin Chung and Jaehyeon Kim and Jong Chul Ye},
  title = {Progressive deblurring of diffusion models for coarse-to-fine image synthesis},
  booktitle = {NeurIPS 2022 Workshop on Score-Based Methods},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2207.11192},
}

@inproceedings{kim2022energyba,
  nums = {C25},
  author = {Beomsu Kim and Jong Chul Ye},
  title = {Energy-Based Contrastive Learning of Visual Representations},
  booktitle = {Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2202.04933},
}

@inproceedings{chung2022improvin,
  nums = {C24},
  author = {Hyungjin Chung and Byeongsu Sim and Dohoon Ryu and Jong Chul Ye},
  title = {Improving Diffusion Models for Inverse Problems using Manifold Constraints},
  booktitle = {Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2206.00941},
}

@inproceedings{oh2022cxr,
  nums = {C23},
  author = {Yujin Oh and Jong Chul Ye},
  title = {CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillation},
  booktitle = {European Conference on Computer Vision ( ECCV ), 2022},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2104.05892},
}

@inproceedings{kim2022diffusem,
  nums = {C22},
  author = {Boah Kim and Inhwa Han and Jong Chul Ye},
  title = {DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Models},
  booktitle = {European Conference on Computer Vision ( ECCV )},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2112.05149},
}

@inproceedings{jung2022patchwis,
  nums = {C21},
  author = {Chanyong Jung and Joonhyung Lee and Sun Kyoung You and Jong Chul Ye},
  title = {Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising},
  booktitle = {International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2207.02377},
}

@inproceedings{ye2022diffusio,
  nums = {C20},
  author = {Boah Kim and Jong Chul Ye},
  title = {Diffusion deformable model for 4D temporal medical image generation},
  booktitle = {the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2206.13295},
}

@inproceedings{kim2022diffusio,
  nums = {C19},
  author = {Gwanghyun Kim and Jong Chul Ye},
  title = {Diffusion CLIP : Text-guided image manipulation using diffusion models},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2022},
  bibtex_show = {true},
}

@inproceedings{jung2022explorin,
  nums = {C18},
  author = {Chanyong Jung and Gihyun Kwon and Jong Chul Ye},
  title = {Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2203.01532},
}

@inproceedings{kwon2022c,
  nums = {C17},
  author = {Gihyun Kwon and Jong Chul Ye},
  title = {C LIP styler: Image style transfer with a single text condition},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2022},
  bibtex_show = {true},
}

@inproceedings{kim2022noise,
  nums = {C16},
  author = {Kwanyoung Kim and Taesung Kwon and Jong Chul Ye},
  title = {Noise d istribution a daptive s elf- s upervised i mage d enoising using Tweedie d istribution and s core m atching},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2022},
  bibtex_show = {true},
}

@inproceedings{chung2022comeclos,
  nums = {C15},
  author = {Hyungjin Chung and Byeongsu Sim and Jong Chul Ye},
  title = {Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR )},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2112.05146},
}

@inproceedings{kim2021noise2sc,
  nums = {C14},
  author = {Kwanyoung Kim and Jong Chul Ye},
  title = {Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images},
  booktitle = {Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) , Virtual, December},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2106.07009},
}

@inproceedings{park2021federate,
  nums = {C13},
  author = {Sangjoon Park and Gwanghyun Kim and Jeongsol Kim and Boah Kim and Jong Chul Ye},
  title = {Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis},
  booktitle = {Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) , Virtual, December 2021. (*co-first authors)},
  year = {2021},
  bibtex_show = {true},
}

@inproceedings{kim2021learning,
  nums = {C12},
  author = {Byung-Hoon Kim and Jong Chul Ye and Jae-Jin Kim},
  title = {Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention},
  booktitle = {Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) , Virtual, December},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2105.13495},
}

@inproceedings{gihyun2021diagonal,
  nums = {C11},
  author = {Kwon Gihyun and Jong Chul Ye},
  title = {Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation},
  booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2103.16146},
}

@inproceedings{ignatov2020aim,
  nums = {C10},
  author = {Andrey Ignatov and others},
  title = {AIM 2020 challenge on learned image signal processing pipeline},
  booktitle = {European Conference on Computer Vision . Springer, Cham},
  year = {2020},
  bibtex_show = {true},
  arxiv = {2011.04994},
}

@inproceedings{kim2020pynetca,
  nums = {C9},
  author = {Byung-Hoon Kim and others},
  title = {Pynet-ca: enhanced pynet with channel attention for end-to-end mobile image signal processing},
  booktitle = {European Conference on Computer Vision . Springer, Cham},
  year = {2020},
  bibtex_show = {true},
  arxiv = {2104.02895},
}

@inproceedings{zhang2020ntire,
  nums = {C8},
  author = {Kai Zhang and others},
  title = {NTIRE 2020 challenge on perceptual extreme super-resolution: Methods and results},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year = {2020},
  bibtex_show = {true},
  arxiv = {2005.01056},
}

@inproceedings{kim2019unsuperv,
  nums = {C7},
  author = {Boah Kim and others},
  title = {Unsupervised deformable image registration using cycle-consistent CNN},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  year = {2019},
  bibtex_show = {true},
  arxiv = {1907.01319},
}

@inproceedings{khan2019deep,
  nums = {C6},
  author = {Shujaat Khan and Jaeyoung Huh and Jong Chul Ye},
  title = {Deep learning-based universal beamformer for ultrasound imaging},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  year = {2019},
  bibtex_show = {true},
  arxiv = {1904.02843},
}

@inproceedings{ye2019understa,
  nums = {C5},
  author = {Jong Chul Ye and Woon Kyoung Sung},
  title = {Understanding Geometry of Encoder-Decoder CNNs},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  bibtex_show = {true},
  arxiv = {1901.07647},
}

@inproceedings{lee2019collagan,
  nums = {C4},
  author = {Dongwook Lee and Junyoung Kim and Won-Jin Moon and Jong Chul Ye},
  title = {CollaGAN: Collaborative GAN for Missing Image Data Imputation},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR )},
  year = {2019},
  bibtex_show = {true},
  note = {Oral Presentation, Best Paper Finalist},
  arxiv = {1901.09764},
}

@inproceedings{timofte2017ntire,
  nums = {C3},
  author = {Radu Timofte and others},
  title = {NTIRE 2017 challenge on single image super-resolution: Methods and results},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition workshops (CVPRW)},
  year = {2017},
  bibtex_show = {true},
}

@inproceedings{bae2017beyond,
  nums = {C2},
  author = {Woong Bae and Jaejun Yoo and Jong Chul Ye},
  title = {Beyond deep residual learning for image restoration: Persistent homology-guided manifold simplification},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition workshops (CVPRW)},
  year = {2017},
  bibtex_show = {true},
  arxiv = {1611.06345},
}

@inproceedings{lim2017geometri,
  nums = {C1},
  author = {Jae Hyun Lim and Jong Chul Ye},
  title = {Geometric GAN},
  booktitle = {International Conference on Machine Learning (ICML) Workshop (2017)},
  year = {2017},
  bibtex_show = {true},
  arxiv = {1705.02894},
}

@article{huh2026image,
  nums = {J179},
  author = {Huh, J. and Choi, J. H. and Lee, E. S. and Jong Chul Ye and Lee, J. E. and Park, H. J. and Choi, B. I},
  title = {Image quality improvement of liver ultrasound using unsupervised deep learning},
  journal = {PloS one},
  year = {2026},
  bibtex_show = {true},
}

@article{lee2026read,
  nums = {J178},
  author = {Lee, C. and Park, S. and Shin, C. I. and Choi, W. H. and Park, H. J. and Lee, J. E. and Jong Chul Ye},
  title = {Read like a radiologist: Efficient vision-language model for 3d medical imaging interpretation},
  journal = {Medical Image Analysis},
  year = {2026},
  bibtex_show = {true},
  arxiv = {2412.13558},
}

@article{huh2025wholisti,
  nums = {J177},
  author = {Jaeyoung Huh and Hye Shin Ahn and Hyun Jeong Park and Jong Chul Ye},
  title = {Wholistic report generation for Breast ultrasound using LangChain},
  journal = {Computerized Medical Imaging and Graphics},
  volume = {127},
  pages = {102697},
  doi = {10.1016/j.compmedimag.2025.102697},
  year = {2025},
  bibtex_show = {true},
}

@article{seo2025physicsg,
  nums = {J176},
  author = {Dongjin Seo and Soobin Um and Sangbin Lee and Jong Chul Ye and Haejun Chung},
  title = {Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models},
  journal = {ACS Photonics},
  volume = {13},
  number = {2},
  pages = {363--372},
  doi = {10.1021/acsphotonics.5c00993},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2504.17077},
}

@article{kwon2025video,
  nums = {J175},
  author = {Taesung Kwon and Gookho Song and Yoosun Kim and Jong Chul Ye and Mooseok Jang},
  title = {Video Diffusion Posterior Sampling for Seeing Beyond Dynamic Scattering Layers},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume = {47},
  number = {12},
  pages = {11152--11167},
  doi = {10.1109/tpami.2025.3598457},
  year = {2025},
  bibtex_show = {true},
}

@article{kim2025endtoend,
  nums = {J174},
  author = {Kwanyoung Kim and Yujin Oh and Sangjoon Park and Hwa Kyung Byun and Joongyo Lee and Jin Sung Kim and Yong Bae Kim and Jong Chul Ye},
  title = {End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding},
  journal = {Medical Image Analysis (in press)},
  year = {2025},
  bibtex_show = {true},
  arxiv = {2311.15876},
}

@article{bispl2025riccardo,
  nums = {J173},
  title={Steerable conditional diffusion for out-of-distribution adaptation in medical image reconstruction},
  author={Barbano, Riccardo and Denker, Alexander and Chung, Hyungjin and Roh, Tae Hoon and Arridge, Simon and Maass, Peter and Jin, Bangti and Jong Chul Ye},
  journal={IEEE Transactions on Medical Imaging},
  volume={44},
  number={5},
  pages={2093--2104},
  year={2025},
  bibtex_show = {true},
  arxiv = {2308.14409},
}

@article{choe2025improvin,
  nums = {J172},
  author = {Jooae Choe and others},
  title = {Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion},
  journal = {European Journal of Radiology (in press)},
  year = {2025},
  bibtex_show = {true},
}

@article{kim2024fundus,
  nums = {J171},
  author = {Sehui Kim and Hyungjin Chung and Se Hie Park and Eui-Sang Chung and Kayoung Yi and Jong Chul Ye},
  title = {Fundus image enhancement through direct diffusion bridges},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  doi = {10.1109/JBHI.2024.3446866},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2409.12377},
}

@article{oh2024llmdrive,
  nums = {J170},
  author = {Yujin Oh and Sangjoon Park and Hwa Kyung Byun and Yeona Cho and Ik Jae Lee and Jin Sung Kim and Jong Chul Ye},
  title = {LLM-driven Multimodal Target Volume Contouring in Radiation Oncology},
  journal = {Nature Communications},
  volume = {15},
  number = {1},
  pages = {9186},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2311.01908},
}

@article{park2024msdino,
  nums = {J169},
  author = {S. Park and I. J. Lee and J. W. Kim and Jong Chul Ye},
  title = {MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  volume = {28},
  number = {10},
  pages = {6180--6192},
  month = {October},
  year = {2024},
  bibtex_show = {true},
}

@article{ye2024magnitud,
  nums = {J168},
  author = {Sangmin Lee and Jong Chul Ye},
  title = {Magnitude and Angle Dynamics in Training Single ReLU Neurons},
  journal = {Neural Networks (in press)},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2209.13394},
}

@article{oh2024endtoend,
  nums = {J167},
  author = {J. Oh and B. Kim and G. Oh and Y. Hwangbo and Jong Chul Ye},
  title = {End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography},
  journal = {Endocrinology and Metabolism},
  year = {2024},
  bibtex_show = {true},
}

@article{bispl2024kinoshit,
  nums = {J166},
  title={Coronary plaque phenotype associated with positive remodeling},
  author={Kinoshita, Daisuke and Suzuki, Keishi and Yuki, Haruhito and Niida, Takayuki and Fujimoto, Daichi and Minami, Yoshiyasu and Dey, Damini and Lee, Hang and McNulty, Iris and Ako, Junya and others},
  journal={Journal of cardiovascular computed tomography},
  volume={18},
  number={4},
  pages={401--407},
  year={2024},
  bibtex_show = {true},
}

@article{chang2024x,
  nums = {J165},
  title={Bidirectional generation of structure and properties through a single molecular foundation model},
  author={Chang, Jinho and Jong Chul Ye},
  journal={Nature Communications},
  volume={15},
  number={1},
  pages={2323},
  year={2024},
  bibtex_show = {true},
  arxiv = {2211.10590},
}

@article{oh2024unpaired,
  nums = {J164},
  author = {Gyutaek Oh and Yeonsil Moon and Won-Jin Moon and Jong Chul Ye},
  title = {Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI without AIF Measurements},
  journal = {NeuroImage},
  volume = {291},
  pages = {120571},
  month = {May},
  doi = {10.1016/j.neuroimage.2024.120571},
  year = {2024},
  bibtex_show = {true},
}

@article{oh2024annealed,
  nums = {J163},
  author = {G. Oh and S. Jung and J. E. Lee and Jong Chul Ye},
  title = {Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction},
  journal = {IEEE Transactions on Computational Imaging},
  volume = {10},
  pages = {43--53},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2301.03027},
}

@article{huh2024improvin,
  nums = {J162},
  author = {J. Huh and S. Park and J. E. Lee and Jong Chul Ye},
  title = {Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  volume = {28},
  number = {3},
  pages = {1692--1703},
  month = {March},
  year = {2024},
  bibtex_show = {true},
}

@article{kim2024cdarl,
  nums = {J161},
  author = {Boah Kim and Yujin Oh and Bradford J. Wood and Ronald M. Summers and Jong Chul Ye},
  title = {C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation},
  journal = {Medical Image Analysis},
  volume = {91},
  pages = {103022},
  month = {January},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2308.00193},
}

@article{park2024selfsupe2,
  nums = {J160},
  author = {Sangjoon Park and Eun Sun Lee and Kyung Sook Shin and Jeong Eun Lee and Jong Chul Ye},
  title = {Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology},
  journal = {Medical Image Analysis},
  volume = {91},
  pages = {103021},
  month = {January},
  year = {2024},
  bibtex_show = {true},
  arxiv = {2208.05140},
}

@article{park2023a,
  nums = {J159},
  author = {Sangjoon Park and Haruhito Yuki and Takayuki Niida and Keishi Suzuki and Daisuke Kinoshita and Iris McNulty and Alexander Broersen and Jouke Dijkstra and Hang Lee and Tsunekazu Kakuta and Jong Chul Ye and Ik-Kyung Jang},
  title = {A Novel Deep Learning Model for a Computed Tomography Diagnosis of Coronary Plaque Erosion},
  journal = {Scientific Reports},
  volume = {13},
  number = {1},
  pages = {22992},
  doi = {10.1038/s41598-023-50483-9},
  year = {2023},
  bibtex_show = {true},
}

@article{kwon2023oneshot,
  nums = {J158},
  author = {Gihyun Kwon and Jong Chul Ye},
  title = {One-Shot Adaptation of GAN in Just One CLIP},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)},
  volume = {45},
  pages = {12179--12191},
  month = {October},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2203.09301},
}

@article{oh2023multisca,
  nums = {J157},
  author = {Yujin Oh and Go Eun Bae and Kyung-Hee Kim and Min-Kyung Yeo and Jong Chul Ye},
  title = {Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  volume = {27},
  number = {8},
  pages = {4143--4153},
  month = {August},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2202.08510},
}

@article{karl2023the,
  nums = {J156},
  author = {W. C. Karl and J. E. Fowler and C. A. Bouman and M. Çetin and B. Wohlberg and Jong Chul Ye},
  title = {The Foundations of Computational Imaging: A signal processing perspective},
  journal = {IEEE Signal Processing Magazine},
  volume = {40},
  number = {5},
  pages = {40--53},
  month = {July},
  year = {2023},
  bibtex_show = {true},
}

@article{bispl2023hwang,
  nums = {J155},
  title={Generative adversarial network-based image conversion among different computed tomography protocols and vendors: effects on accuracy and variability in quantifying regional disease patterns of interstitial lung disease},
  author={Hwang, Hye Jeon and Kim, Hyunjong and Seo, Joon Beom and Jong Chul Ye and Oh, Gyutaek and Lee, Sang Min and Jang, Ryoungwoo and Yun, Jihye and Kim, Namkug and Park, Hee Jun and others},
  journal={Korean journal of radiology},
  volume={24},
  number={8},
  pages={807},
  year={2023},
  bibtex_show = {true},
}

@article{bispl2023park,
  nums = {J154},
  title={Deep learning-enabled detection of pneumoperitoneum in supine and erect abdominal radiography: modeling using transfer learning and semi-supervised learning},
  author={Park, Sangjoon and Jong Chul Ye and Lee, Eun Sun and Cho, Gyeongme and Yoon, Jin Woo and Choi, Joo Hyeok and Joo, Ijin and Lee, Yoon Jin},
  journal={Korean Journal of Radiology},
  volume={24},
  number={6},
  pages={541},
  year={2023},
  bibtex_show = {true},
}

@article{bispl2023araki,
  nums = {J153},
  title={Diagnosis of coronary layered plaque by deep learning},
  author={Araki, Makoto and Park, Sangjoon and Nakajima, Akihiro and Lee, Hang and Jong Chul Ye and Jang, Ik-Kyung},
  journal={Scientific Reports},
  volume={13},
  number={1},
  pages={2432},
  year={2023},

  bibtex_show = {true},
}

@article{kim2023taskagno,
  nums = {J152},
  author = {B. Kim and J. Kim and Jong Chul Ye},
  title = {Task-Agnostic Vision Transformer for Distributed Learning of Image Processing},
  journal = {IEEE Transactions on Image Processing},
  volume = {32},
  pages = {203--218},
  year = {2023},
  bibtex_show = {true},
}

@article{chung2023mr,
  nums = {J151},
  author = {H. Chung and E. S. Lee and Jong Chul Ye},
  title = {MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {42},
  number = {4},
  pages = {922--934},
  month = {April},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2203.12621},
}

@article{lee2023x,
  nums = {J150},
  title={Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data},
  author={Lee, Chanseok and Song, Gookho and Kim, Hyeonggeon and Jong Chul Ye and Jang, Mooseok},
  journal={Nature Machine Intelligence},
  volume={5},
  number={1},
  pages={35--45},
  year={2023},
  bibtex_show = {true},
}

@article{song2023wavelet,
  nums = {J149},
  author = {Joonyoung Song and Jong Chul Ye},
  title = {Wavelet Subband Discriminator for Efficient UnsupervisedChest X-ray Image Restoration},
  journal = {Medical Physics},
  volume = {50},
  number = {4},
  pages = {2263--2278},
  month = {April},
  year = {2023},
  bibtex_show = {true},
}

@article{ye2023multitas,
  nums = {J148},
  author = {S. Park and Jong Chul Ye},
  title = {Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {42},
  number = {7},
  pages = {2091--2105},
  month = {July},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2204.03500},
}

@article{huh2023tunable,
  nums = {J147},
  author = {Jaeyoung Huh and Shujaat Khan and Sungjin Choi and Dongkuk Shin and Jeong Eun Lee and Eun Sun Lee and Jong Chul Ye},
  title = {Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN},
  journal = {Medical Image Analysis},
  volume = {83},
  pages = {102651},
  month = {January},
  year = {2023},
  bibtex_show = {true},
  arxiv = {2112.02896},
}

@article{zhao2023generati,
  nums = {J146},
  author = {Z. Zhao and Jong Chul Ye and Y. Bresler},
  title = {Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications},
  journal = {IEEE Signal Processing Magazine},
  volume = {40},
  number = {1},
  pages = {148--163},
  month = {January},
  year = {2023},
  bibtex_show = {true},
}

@article{wahab2022performa,
  nums = {J145},
  author = {A. Wahab and S. Khan and I. Naseem and Jong Chul Ye},
  title = {Performance Analysis of Fractional Learning Algorithms},
  journal = {IEEE Transactions on Signal Processing},
  volume = {70},
  pages = {5164--5177},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2110.05201},
}

@article{bispl2022kim,
  nums = {J144},
  title={Multi-domain CT translation by a routable translation network},
  author={Kim, Hyunjong and Oh, Gyutaek and Seo, Joon Beom and Hwang, Hye Jeon and Lee, Sang Min and Yun, Jihye and Jong Chul Ye},
  journal={Physics in Medicine \& Biology},
  volume={67},
  number={21},
  pages={215002},
  year={2022},
  bibtex_show = {true},
}

@article{park2022enhanced,
  nums = {J143},
  author = {Sangjoon Park and Makoto Araki and Akihiro Nakajima and Hang Lee and Valentin Fuster and Jong Chul Ye and Ik-Kyung Jang},
  title = {Enhanced diagnosis of plaque erosion by deep learning in patients with acute coronary syndromes},
  journal = {JACC: Cardiovascular Interventions},
  volume = {15},
  number = {20},
  pages = {2020--2031},
  month = {October},
  doi = {10.1016/j.jcin.2022.08.040},
  year = {2022},
  bibtex_show = {true},
}

@article{cha2022lowdose,
  nums = {J142},
  author = {Eunju Cha and Hyungjin Chung and Jaeduck Jang and Junho Lee and Eunha Lee and Jong Chul Ye},
  title = {Low-dose sparse-view HAADF-STEM-EDX tomography of nanocrystals using unsupervised deep learning},
  journal = {ACS Nano},
  volume = {16},
  number = {7},
  pages = {10314--10326},
  month = {June},
  doi = {10.1021/acsnano.2c00168},
  year = {2022},
  bibtex_show = {true},
}

@article{park2022x,
  nums = {J141},
  title={Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation},
  author={Park, Sangjoon and Kim, Gwanghyun and Oh, Yujin and Seo, Joon Beom and Lee, Sang Min and Kim, Jin Hwan and Moon, Sungjun and Lim, Jae-Kwang and Park, Chang Min and Jong Chul Ye},
  journal={Nature communications},
  volume={13},
  number={1},
  pages={3848},
  year={2022},
  bibtex_show = {true},
}

@article{park2022x2,
  nums = {J140},
  title={Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy},
  author={Park, Hyoungjun and Na, Myeongsu and Kim, Bumju and Park, Soohyun and Kim, Ki Hean and Chang, Sunghoe and Jong Chul Ye},
  journal={Nature Communications},
  volume={13},
  number={1},
  pages={3297},
  year={2022},
  bibtex_show = {true},
  arxiv = {2104.09435},
}

@article{chung2022scorebas,
  nums = {J139},
  author = {Hyungjin Chung and Jong Chul Ye},
  title = {Score-based diffusion models for accelerated MRI},
  journal = {Medical Image Analysis},
  volume = {80},
  pages = {102479},
  month = {August},
  doi = {10.1016/j.media.2022.102479},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2110.05243},
}

@article{oh2022unsuperv,
  nums = {J138},
  author = {Gyutaek Oh and Hyokyoung Bae and Hyun-Seo Ahn and Sung-Hong Park and Won Jin Moon and Jong Chul Ye},
  title = {Unsupervised Resolution-Agnostic Quantitative Susceptibility Mapping using Adaptive Instance Normalization},
  journal = {Medical Image Analysis},
  volume = {79},
  pages = {102477},
  month = {July},
  doi = {10.1016/j.media.2022.102477},
  year = {2022},
  bibtex_show = {true},
}

@article{moinuddin2022medical,
  nums = {J137},
  author = {Moinuddin, M. and Khan, S. and Alsaggaf, A. U. and Abdulaal, M. J. and Al-Saggaf, U. M. and Jong Chul Ye},
  title = {Medical ultrasound image speckle reduction and resolution enhancement using texture compensated multi-resolution convolution neural network},
  journal = {Frontiers in Physiology},
  year = {2022},
  bibtex_show = {true},
}

@article{araki2022x,
  nums = {J136},
  title={Optical coherence tomography in coronary atherosclerosis assessment and intervention},
  author={Araki, Makoto and Park, Seung-Jung and Dauerman, Harold L and Uemura, Shiro and Kim, Jung-Sun and Di Mario, Carlo and Johnson, Thomas W and Guagliumi, Giulio and Kastrati, Adnan and Joner, Michael and others},
  journal={Nature Reviews Cardiology},
  volume={19},
  number={10},
  pages={684--703},
  year={2022},
  publisher={Nature Publishing Group UK London},
  bibtex_show = {true},
}

@article{akakaya1927unsuperv,
  nums = {J135},
  author = {M. Akçakaya and B. Yaman and H. Chung and Jong Chul Ye},
  title = {Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective},
  journal = {IEEE Signal Processing Magazine},
  volume = {39},
  number = {2},
  pages = {28--44},
  month = {March},
  doi = {10.1109/MSP.2021.3119273},
  year = {2022},
  bibtex_show = {true},
}

@article{khan2021switchab,
  nums = {J132},
  author = {S. Khan and J. Huh and Jong Chul Ye},
  title = {Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {41},
  number = {2},
  pages = {266--278},
  month = {February},
  doi = {10.1109/TMI.2021.3110730},
  year = {2022},
  bibtex_show = {true},
}

@article{bispl2021nam,
  nums = {J131},
  title={Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison},
  author={Nam, Joon Yeul and Chung, Hyung Jin and Choi, Kyu Sung and Lee, Hyuk and Kim, Tae Jun and Soh, Hosim and Kang, Eun Ae and Cho, Soo-Jeong and Jong Chul Ye and Im, Jong Pil and others},
  journal={Gastrointestinal endoscopy},
  volume={95},
  number={2},
  pages={258--268},
  year={2022},
  publisher={Elsevier},
  bibtex_show = {true},
}

@article{park2022multitas,
  nums = {J134},
  author = {Sangjoon Park and Gwanghyun Kim and Yujin Oh and Joon Beom Se and Sang Min Lee and Jin Hwan Kim and Sungjun Moon and Jae-Kwang Lim and Jong Chul Ye},
  title = {Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification},
  journal = {Medical Image Analysis},
  volume = {75},
  pages = {102299},
  month = {January},
  doi = {10.1016/j.media.2021.102299},
  year = {2022},
  bibtex_show = {true},
}

@article{cha2022deepphas,
  nums = {J133},
  author = {Eunju Cha and Chanseok Lee and Mooseok Jang and Jong Chul Ye},
  title = {DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume = {44},
  number = {12},
  pages = {9931--9943},
  month = {December},
  doi = {10.1109/tpami.2021.3138897},
  year = {2022},
  bibtex_show = {true},
  arxiv = {2011.10475},
}

@article{kolte2021plaque,
  nums = {J130},
  author = {Dhaval Kolte and Taishi Yonetsu and Jong Chul Ye and Peter Libby and Valentin Fuster and Ik-Kyoung Jang},
  title = {Plaque Erosion: Pathobiology, Diagnosis, and Clinical Implications},
  journal = {Journal of the American College of Cardiology},
  year = {2021},
  bibtex_show = {true},
}

@article{ye2021cyclefre,
  nums = {J129},
  author = {T. Kwon and Jong Chul Ye},
  title = {Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising},
  journal = {IEEE Transactions on Computational Imaging},
  volume = {7},
  pages = {1354--1368},
  doi = {10.1109/TCI.2021.3129369},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2104.08538},
}

@article{chung2021reusabil,
  nums = {J128},
  author = {H. Chung and Jong Chul Ye},
  title = {Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN},
  journal = {Nature Machine Intelligence},
  volume = {3},
  number = {10},
  pages = {861--863},
  doi = {10.1038/s42256-021-00400-4},
  year = {2021},
  bibtex_show = {true},
}

@article{gu2021cyclegan,
  nums = {J127},
  author = {Jawook Gu and Tae Seong Yang and Jong Chul Ye and Dong Hyun Yang},
  title = {CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement},
  journal = {Medical Image Analysis},
  volume = {74},
  pages = {102209},
  doi = {10.1016/j.media.2021.102209},
  year = {2021},
  bibtex_show = {true},
}

@article{lee2021unsuperv,
  nums = {J126},
  author = {J. Lee and J. Gu and Jong Chul Ye},
  title = {Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {40},
  number = {12},
  pages = {3932--3944},
  month = {December},
  doi = {10.1109/TMI.2021.3101363},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2007.03480},
}

@article{chung2021missing,
  nums = {J125},
  author = {H. Chung and J. Huh and G. Kim and Y. K. Park and Jong Chul Ye},
  title = {Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain},
  journal = {IEEE Transactions on Computational Imaging},
  volume = {7},
  pages = {747--758},
  doi = {10.1109/TCI.2021.3098937},
  year = {2021},
  bibtex_show = {true},
}

@article{oh2021unpaired,
  nums = {J124},
  author = {G. Oh and J. E. Lee and Jong Chul Ye},
  title = {Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {40},
  number = {11},
  pages = {3125--3139},
  month = {November},
  doi = {10.1109/TMI.2021.3089708},
  year = {2021},
  bibtex_show = {true},
}

@article{yang2021continuo,
  nums = {J123},
  author = {S. Yang and E. Y. Kim and Jong Chul Ye},
  title = {Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {40},
  number = {11},
  pages = {3015--3029},
  month = {November},
  doi = {10.1109/TMI.2021.3077615},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2011.13150},
}

@article{kim2021deep,
  nums = {J122},
  author = {Y. Kim and D. Y. Oh and W. Chang and others},
  title = {Deep learning–based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study},
  journal = {European Radiology},
  volume = {31},
  number = {11},
  pages = {8755--8764},
  doi = {10.1007/s00330-021-07810-3},
  year = {2021},
  bibtex_show = {true},
}

@article{chung2021twostage,
  nums = {J121},
  author = {Hyungjin Chung and Eunju Cha and Leonard Sunwoo and Jong Chul Ye},
  title = {Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data},
  journal = {Medical Image Analysis},
  volume = {71},
  pages = {102047},
  doi = {10.1016/j.media.2021.102047},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2008.01362},
}

@article{song2021unsuperv,
  nums = {J120},
  author = {Joonyoung Song and Jae-Heon Jeong and Dae-Soon Park and Hyun-Ho Kim and Doo-Chun Seo and Jong Chul Ye},
  title = {Unsupervised Denoising for Satellite Imagery using Wavelet Directional CycleGAN},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  volume = {59},
  number = {8},
  pages = {6823--6839},
  month = {August},
  year = {2021},
  bibtex_show = {true},
}

@article{kim2021cyclemor,
  nums = {J119},
  author = {Boah Kim and Dong Hwan Kim and Seong Ho Park and Jieun Kim and June-Goo Lee and Jong Chul Ye},
  title = {CycleMorph: Cycle consistent unsupervised deformable image registration},
  journal = {Medical Image Analysis},
  volume = {71},
  number = {10},
  month = {July},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2008.05772},
}

@article{khan2021variatio,
  nums = {J118},
  author = {S. Khan and J. Huh and Jong Chul Ye},
  title = {Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal},
  journal = {IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},
  volume = {68},
  number = {6},
  pages = {2086--2100},
  month = {June},
  year = {2021},
  bibtex_show = {true},
}

@article{ryu2021deepregu,
  nums = {J117},
  author = {D. Ryu and D. Ryu and Y. Baek and H. Cho and G. Kim and Y. S. Kim and Y. Lee and Y. Kim and Jong Chul Ye and H. S. Min and Y. Park},
  title = {DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging using Deep Learning},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {40},
  number = {5},
  pages = {1508--1518},
  month = {May},
  year = {2021},
  bibtex_show = {true},
  arxiv = {2009.13777},
}

@article{ye2021adainbas,
  nums = {J116},
  author = {J. Gu and Jong Chul Ye},
  title = {AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising},
  journal = {IEEE Transactions on Computational Imaging},
  volume = {7},
  pages = {73--85},
  doi = {10.1109/TCI.2021.3050266},
  year = {2021},
  bibtex_show = {true},
}

@article{han2021deep,
  nums = {J115},
  author = {Yoseob Han and Jaeduck Jang and Eunju Cha and Junho Lee and Hyungjin Chung and Myoungho Jeong and Tae-Gon Kim and Byeong Gyu Chae and Hee Goo Kim and Shinae Jun and Sungwoo Hwang and Eunha Lee and Jong Chul Ye},
  title = {Deep learning STEM-EDX tomography of nanocrystals},
  journal = {Nature Machine Intelligence},
  volume = {3},
  number = {3},
  pages = {267--274},
  month = {February},
  doi = {10.1038/s42256-020-00289-5},
  year = {2021},
  bibtex_show = {true},
}

@article{cha2021unpaired,
  nums = {J114},
  author = {Eunju Cha and Hyungjin Chung and Eung Yeop Kim and Jong Chul Ye},
  title = {Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {40},
  number = {1},
  pages = {166--179},
  month = {January},
  year = {2021},
  bibtex_show = {true},
}

@article{wang2020deep,
  nums = {J113},
  author = {Ge Wang and Jong Chul Ye and Bruno De Man},
  title = {Deep learning for tomographic image reconstruction},
  journal = {Nature Machine Intelligence},
  volume = {2},
  number = {12},
  pages = {737--748},
  month = {December},
  doi = {10.1038/s42256-020-00273-z},
  year = {2020},
  bibtex_show = {true},
}

@article{bispl2020sim,
  nums = {J112},
  title={Optimal transport driven CycleGAN for unsupervised learning in inverse problems},
  author={Sim, Byeongsu and Oh, Gyutaek and Kim, Jeongsol and Jung, Chanyong and Jong Chul Ye},
  journal={SIAM Journal on Imaging Sciences},
  volume={13},
  number={4},
  pages={2281--2306},
  year={2020},
  publisher={SIAM},
  bibtex_show = {true},
  arxiv = {1909.12116},
}

@article{han2020differen,
  nums = {J111},
  author = {Y. Han and J. Kim and Jong Chul Ye},
  title = {Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {39},
  number = {11},
  pages = {3571--3582},
  month = {November},
  doi = {10.1109/TMI.2020.3000341},
  year = {2020},
  bibtex_show = {true},
  arxiv = {1906.06854},
}

@article{cha2020geometri,
  nums = {J110},
  author = {E. Cha and G. Oh and Jong Chul Ye},
  title = {Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction},
  journal = {IEEE Journal of Selected Topics in Signal Processing},
  volume = {14},
  number = {6},
  pages = {1292--1305},
  month = {October},
  doi = {10.1109/JSTSP.2020.2982777},
  year = {2020},
  bibtex_show = {true},
  arxiv = {2003.07740},
}

@article{oh2020unpaired,
  nums = {J109},
  author = {Gyutaek Oh and Byeongsu Sim and Hyungjin Chung and Leonard Sunwoo and Jong Chul Ye},
  title = {Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN},
  journal = {IEEE Transactions on Computational Imaging},
  volume = {6},
  pages = {1285--1296},
  month = {August},
  year = {2020},
  bibtex_show = {true},
  arxiv = {2008.12967},
}

@article{chae2020developm,
  nums = {J108},
  author = {Eun Young Chae and Hak Hee Kim and Sohail Sabir and Yejin Kim and Hyeongseok Kim and Sungho Yoon and Jong Chul Ye and Seungryong Cho and Duchang Heo and Kee Hyun Kim and Young Min Bae and Young-Wook Choi},
  title = {Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection},
  journal = {Scientific Reports},
  volume = {10},
  number = {1},
  pages = {13127},
  month = {August},
  doi = {10.1038/s41598-020-70103-0},
  year = {2020},
  bibtex_show = {true},
}

@article{choi2020improvin,
  nums = {J107},
  author = {Kyu Sung Choi and Sung-Hye You and Yoseob Han and Jong Chul Ye and Bumseok Jeong and Seung Hong Choi},
  title = {Improving the reliability of pharmacokinetic parameters in dynamic contrast-enhanced MRI in astrocytomas: Deep learning approach},
  journal = {Radiology},
  volume = {297},
  number = {1},
  pages = {178--188},
  month = {August},
  doi = {10.1148/radiol.2020192763},
  year = {2020},
  bibtex_show = {true},
}

@article{oh2020deep,
  nums = {J106},
  author = {Yujin Oh and Sangjoon Park and Jong Chul Ye},
  title = {Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {39},
  number = {8},
  pages = {2688--2700},
  month = {August},
  doi = {10.1109/TMI.2020.2993291},
  year = {2020},
  bibtex_show = {true},
  arxiv = {2004.05758},
}

@article{lim2020cyclegan,
  nums = {J105},
  author = {Sungjun Lim and Hyoungjun Park and Sang-Eun Lee and Sunghoe Chang and Byeongsu Sim and Jong Chul Ye},
  title = {CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry},
  journal = {IEEE Transactions on Computational Imaging},
  volume = {6},
  pages = {1127--1138},
  month = {July},
  doi = {10.1109/tci.2020.3006735},
  year = {2020},
  bibtex_show = {true},
  arxiv = {1908.09414},
}

@article{kim2020understa,
  nums = {J104},
  author = {Byung-Hoon Kim and Jong Chul Ye},
  title = {Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis},
  journal = {Frontiers in Neuroscience},
  month = {June},
  doi = {10.3389/fnins.2020.00630},
  year = {2020},
  bibtex_show = {true},
  arxiv = {2001.03690},
}

@article{bispl2020misun,
  nums = {J103},
  author = {Mi-Sun Kang and Eunju Cha and Eunhee Kang and Jong Chul Ye and Nam-Gu Her and Jeong-Woo Oh and Do-Hyun Nam and Myoung-Hee Kim and Sejung Yang},
  title = {Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images},
  journal = {Biomedical Signal Processing and Control},
  volume = {58},
  pages = {101846},
  month = {April},
  doi = {10.1016/j.bspc.2020.101846},
  year = {2020},
  bibtex_show = {true},
}

@article{khan2020adaptive,
  nums = {J102},
  author = {Shujaat Khan and Jaeyoung Huh and Jong Chul Ye},
  title = {Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound},
  journal = {IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},
  volume = {67},
  number = {8},
  pages = {1558--1572},
  month = {March},
  year = {2020},
  bibtex_show = {true},
  arxiv = {1907.10257},
}

@article{shin2020lowdose,
  nums = {J101},
  author = {Yoon Joo Shin and Won Chang and Jong Chul Ye and Eunhee Kang and Dong Yul Oh and Yoon Jin Lee and Ji Hoon Park and Young Hoon Kim},
  title = {Low-Dose Abdominal CT Computed Tomography Using a Deep Learning-Based Denoising Algorithm: A Compared Comparison with CT Computed Tomography Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm},
  journal = {Korean Journal of Radiology},
  volume = {21},
  pages = {e15},
  month = {March},
  year = {2020},
  bibtex_show = {true},
}

@article{do2020reconstr,
  nums = {J100},
  author = {Won‐Joon Do and Sunghun Seo and Yoseob Han and Jong Chul Ye and Seung Hong Choi and Sung‐Hong Park},
  title = {Reconstruction of Multi-contrast MR Images through Deep Learning},
  journal = {Medical Physics},
  volume = {47},
  number = {3},
  pages = {983--997},
  month = {March},
  year = {2020},
  bibtex_show = {true},
}

@article{ahn2020quantita,
  nums = {J99},
  author = {Hyun-Seo Ahn and Sung-Hong Park and Jong Chul Ye},
  title = {Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach},
  journal = {Magnetic Resonance in Medicine},
  volume = {83},
  number = {3},
  pages = {858--871},
  month = {March},
  doi = {10.1002/mrm.27976},
  year = {2020},
  bibtex_show = {true},
  arxiv = {1804.09396},
}

@article{han2020kspace,
  nums = {J98},
  author = {Yoseob Han and Leonard Sunwoo and Jong Chul Ye},
  title = {k-Space Deep Learning for Accelerated MRI},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {39},
  number = {2},
  pages = {377--386},
  month = {February},
  doi = {10.1109/tmi.2019.2927101},
  year = {2020},
  bibtex_show = {true},
  arxiv = {1805.03779},
}

@article{lee2020assessin,
  nums = {J97},
  author = {Donwook Lee and Won-Jin Moon and Jong Chul Ye},
  title = {Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks},
  journal = {Nature Machine Intelligence},
  volume = {2},
  number = {1},
  pages = {34--42},
  month = {January},
  doi = {10.1038/s42256-019-0137-x},
  year = {2020},
  bibtex_show = {true},
}

@article{jacob2020structur,
  nums = {J96},
  author = {Mathews Jacob and Merry P. Mani and Jong Chul Ye},
  title = {Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning},
  journal = {IEEE Signal Processing Magazine},
  volume = {37},
  number = {1},
  pages = {54--68},
  month = {January},
  year = {2020},
  bibtex_show = {true},
  arxiv = {1910.12162},
}

@article{ye2019mumfords,
  nums = {J95},
  author = {B. Kim and Jong Chul Ye},
  title = {Mumford–Shah Loss Functional for Image Segmentation With Deep Learning},
  journal = {IEEE Transactions on Image Processing},
  volume = {29},
  pages = {1856--1866},
  doi = {10.1109/TIP.2019.2941265},
  year = {2020},
  bibtex_show = {true},
  arxiv = {1904.02872},
}

@article{ravishankar2019image,
  nums = {J94},
  author = {S. Ravishankar and Jong Chul Ye and J. A. Fessler},
  title = {Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning},
  journal = {Proceedings of the IEEE},
  volume = {108},
  number = {1},
  pages = {86--109},
  month = {January},
  doi = {10.1109/JPROC.2019.2936204},
  year = {2020},
  bibtex_show = {true},
  arxiv = {1904.02816},
}

@article{lee2019kspace,
  nums = {J93},
  author = {Juyoung Lee and Yoseob Han and Jae-Kyun Ryu and Jang-Yeon Park and Jong Chul Ye},
  title = {k-Space Deep Learning for Reference-free EPI Ghost Correction},
  journal = {Magnetic Resonance in Medicine},
  volume = {82},
  number = {6},
  pages = {2299--2313},
  month = {December},
  doi = {10.1002/mrm.27896},
  year = {2019},
  bibtex_show = {true},
  arxiv = {1806.00153},
}

@article{ye2019one,
  nums = {J92},
  author = {Yoseob Han and Jong Chul Ye},
  title = {One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection},
  journal = {Medical Physics},
  volume = {46},
  number = {12},
  pages = {855--872},
  month = {December},
  year = {2019},
  bibtex_show = {true},
  arxiv = {1810.00500},
}

@article{ye2019compress,
  nums = {J91},
  author = {Jong Chul Ye},
  title = {Compressed Sensing MRI: A Review from Signal Processing Perspective},
  journal = {BMC Biomedical Engineering},
  volume = {1},
  number = {1},
  pages = {8},
  month = {December},
  doi = {10.1186/s42490-019-0006-z},
  year = {2019},
  bibtex_show = {true},
}

@article{yoo2019deep,
  nums = {J90},
  author = {Jaejun Yoo and Sohail Sabir and Duchang Heo and Kee Hyun Kim and Abdul Wahab and Yoonseok Choi and Seul-I Lee and Eun Young Chae and Hak Hee Kim and Young Min Bae and Young-Wook Choi and Seungryong Cho and Jong Chul Ye},
  title = {Deep Learning for Diffuse Optical Tomography},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {39},
  number = {4},
  pages = {877--887},
  month = {August},
  doi = {10.1109/tmi.2019.2936522},
  year = {2019},
  bibtex_show = {true},
}

@article{kang2019cycle,
  nums = {J89},
  author = {Eunhee Kang and Hyun Jung Koo and Dong Hyun Yang and Joon Bum Seo and Jong Chul Ye},
  title = {Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography},
  journal = {Medical Physics},
  volume = {46},
  number = {2},
  pages = {550--562},
  month = {February},
  doi = {10.1002/mp.13284},
  year = {2019},
  bibtex_show = {true},
  arxiv = {1806.09748},
}

@article{yoon2018efficien,
  nums = {J87},
  author = {Y. H. Yoon and S. Khan and J. Huh and Jong Chul Ye},
  title = {Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {38},
  number = {2},
  pages = {325--336},
  month = {February},
  doi = {10.1109/TMI.2018.2864821},
  year = {2019},
  bibtex_show = {true},
  arxiv = {1712.06096},
}

@article{yoo2018a,
  nums = {J86},
  author = {Jaejun Yoo and Abdul Wahab and Jong Chul Ye},
  title = {A Mathematical Framework for Deep Learning in Elastic Source Imaging},
  journal = {SIAM Journal on Applied Mathematics},
  volume = {78},
  number = {5},
  pages = {2791--2818},
  year = {2018},
  bibtex_show = {true},
  arxiv = {1802.10055},
}

@article{min2018gridfree,
  nums = {J85},
  author = {Junhong Min and Kyoung Hwan Jin and Michael Unser and Jong Chul Ye},
  title = {Grid-Free Localization Algorithm Using Low Rank Hankel Matrix For Super-Resolution Microscopy},
  journal = {IEEE Transactions on Image Processing},
  volume = {27},
  number = {10},
  pages = {4771--4786},
  month = {October},
  doi = {10.1109/tip.2018.2843718},
  year = {2018},
  bibtex_show = {true},
}

@article{lee2018unified,
  nums = {J84},
  author = {K. Lee and Y. Li and K. H. Jin and Jong Chul Ye},
  title = {Unified Theory for Recovery of Sparse Signals in a General Transform Domain},
  journal = {IEEE Transactions on Information Theory},
  volume = {64},
  number = {8},
  pages = {5457--5477},
  month = {August},
  doi = {10.1109/TIT.2018.2846643},
  year = {2018},
  bibtex_show = {true},
  arxiv = {1612.09565},
}

@article{wang2018image,
  nums = {J83},
  author = {Ge Wang and Jong Chul Ye and Klaus Mueller and Jeffrey A Fessler},
  title = {Image Reconstruction Is a New Frontier of Machine Learning},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {37},
  number = {6},
  pages = {1289--1296},
  month = {June},
  year = {2018},
  bibtex_show = {true},
}

@article{ye2018framing,
  nums = {J82},
  author = {Y. Han and Jong Chul Ye},
  title = {Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT},
  journal = {IEEE Transactions on Medical Imaging , ( MatConvNet implementation)},
  volume = {37},
  number = {6},
  pages = {1418--1429},
  month = {June},
  doi = {10.1109/TMI.2018.2823768},
  year = {2018},
  bibtex_show = {true},
  arxiv = {1708.08333},
}

@article{kang2018deep,
  nums = {J81},
  author = {E. Kang and W. Chang and J. Yoo and Jong Chul Ye},
  title = {Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network},
  journal = {IEEE Transactions on Medical Imaging , (MatConvNet implementation)},
  volume = {37},
  number = {6},
  pages = {1358--1369},
  month = {June},
  doi = {10.1109/TMI.2018.2823756.},
  year = {2018},
  bibtex_show = {true},
  arxiv = {1707.09938},
}

@article{lee2018deep,
  nums = {J80},
  author = {D. Lee and J. Yoo and S. Tak and Jong Chul Ye},
  title = {Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks},
  journal = {IEEE Transactions on Biomedical Engineering},
  volume = {65},
  number = {9},
  pages = {1985--1995},
  month = {September},
  doi = {10.1109/TBME.2018.2821699},
  year = {2018},
  bibtex_show = {true},
  arxiv = {1804.00432},
}

@article{ye2018deep,
  nums = {J79},
  author = {Jong Chul Ye and Yoseob Han and Eunju Cha},
  title = {Deep convolutional framelets: a general deep learning framework for inverse problems},
  journal = {SIAM Journal on Imaging Sciences},
  volume = {11},
  number = {2},
  pages = {991--1048},
  doi = {10.1137/17m1141771},
  year = {2018},
  bibtex_show = {true},
  arxiv = {1707.00372},
}

@article{han2018deep,
  nums = {J78},
  author = {Yoseob Han and Jaejun Yoo and Hak Hee Kim and Hee Jung Shin and Kyunghyun Sung and Jong Chul Ye},
  title = {Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR},
  journal = {Magnetic Resonance in Medicine},
  volume = {80},
  number = {3},
  pages = {1189--1205},
  month = {September},
  year = {2018},
  bibtex_show = {true},
  arxiv = {1703.01135},
}

@article{bispl2018maryam,
  nums = {J77},
  author = {Maryam Ghahremani and Jaejun Yoo and Sun Ju Chung and Kwangsun Yoo and Jong Chul Ye and Yong Jeong},
  title = {Alteration in the local and global functional connectivity of resting state networks in Parkinson’s disease},
  journal = {J Mov Disord},
  volume = {11},
  number = {1},
  pages = {13--23},
  year = {2018},
  bibtex_show = {true},
}

@article{ye2017sparse,
  nums = {J75},
  author = {K. H. Jin and Jong Chul Ye},
  title = {Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal},
  journal = {IEEE Transactions on Image Processing},
  volume = {27},
  number = {3},
  pages = {1448--1461},
  month = {March},
  doi = {10.1109/TIP.2017.2771471},
  year = {2018},
  bibtex_show = {true},
}

@article{abbas2018topologi,
  nums = {J76},
  author = {Tasawar Abbas and Shujaat Khan and Muhammad Sajid and Abdul Waha and Jong Chul Ye},
  title = {Topological sensitivity based far-field detection of elastic inclusions},
  journal = {Results in Physics},
  volume = {8},
  pages = {442--460},
  month = {March},
  year = {2018},
  bibtex_show = {true},
  arxiv = {1711.09274},
}

@article{lim2017beyond,
  nums = {J74},
  author = {Joowon Lim and Abdul Wahab and Gwangsik Park and Kyeoreh Lee and Yongkeun Park and Jong Chul Ye},
  title = {Beyond Born-Rytov limit for super-resolution optical diffraction tomography},
  journal = {Optics Express},
  volume = {25},
  number = {24},
  pages = {30445--30458},
  year = {2017},
  bibtex_show = {true},
}

@article{kang2017a,
  nums = {J73},
  author = {Eunhee Kang and Junhong Min and Jong Chul Ye},
  title = {A Deep Convolutional Neural Network using Directional Wavelets for Low-dose X-ray CT Reconstruction},
  journal = {Medical Physics},
  volume = {44},
  number = {10},
  pages = {e360--e375},
  month = {October},
  doi = {10.1002/mp.12344},
  year = {2017},
  bibtex_show = {true},
  arxiv = {1610.09736},
}

@article{jin2017mri,
  nums = {J72},
  author = {Kyong Hwan Jin and Ji-Yong Um and Dongwook Lee and Juyoung Lee and Sung-Hong Park and Jong Chul Ye},
  title = {MRI artifact correction using sparse + low-rank decomposition of annihilating filter-based Hankel matrix},
  journal = {Magnetic Resonance in Medicine},
  volume = {78},
  number = {1},
  pages = {327--340},
  doi = {10.1002/mrm.26330},
  year = {2017},
  bibtex_show = {true},
}

@article{gu2017translat,
  nums = {J71},
  author = {Jawook Gu and Woong Bae and Jong Chul Ye},
  title = {Translational Motion Correction Algorithm for Truncated Cone-Beam CT using Opposite Projections},
  journal = {Journal of X-Ray Science and Technology},
  volume = {25},
  number = {6},
  pages = {927--944},
  month = {June},
  doi = {10.3233/xst-16231},
  year = {2017},
  bibtex_show = {true},
}

@article{yoo2017a,
  nums = {J70},
  author = {Jaejun Yoo and Younghoon Jung and Mikyoung Lim and Jong Chul Ye and Abdul Wahab},
  title = {A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media},
  journal = {SIAM Journal on Imaging Sciences},
  volume = {10},
  number = {3},
  pages = {1104--1138},
  doi = {10.1137/16m110318x},
  year = {2017},
  bibtex_show = {true},
  arxiv = {1610.08499},
}

@article{ye2017twodimen,
  nums = {J69},
  author = {Tasawar Abbas and Habib Ammari and Guanghui Hu and Abdul Wahab and Jong Chul Ye},
  title = {Two-Dimensional Elastic Scattering Coefficients and Enhancement of Nearly Elastic Cloaking},
  journal = {Journal of Elasticity , (online},
  month = {January},
  doi = {10.1007/s10659-017-9624-7)},
  year = {2017},
  bibtex_show = {true},
  arxiv = {1606.08070},
}

@article{ye2017compress,
  nums = {J68},
  author = {Jong Chul Ye and Jong Min Kim and Kyong Hwan Jin and Kiryung Lee},
  title = {Compressive sampling using annihilating filter-based low-rank interpolation},
  journal = {IEEE Transactions on Information Theory},
  volume = {63},
  number = {2},
  pages = {777--801},
  month = {February},
  year = {2017},
  bibtex_show = {true},
  arxiv = {1511.08975},
}

@article{sabir2016sampling,
  nums = {J67},
  author = {Sohail Sabir and Changhwan Kim and Sanghoon Cho and Duchang Heo and Kee Hyun Kim and Jong Chul Ye and Seungryong Cho},
  title = {Sampling scheme optimization for diffuse optical tomography based on data and image space rankings},
  journal = {Journal of Biomedical Optics},
  volume = {21},
  number = {10},
  pages = {106004},
  doi = {10.1117/1.jbo.21.10.106004},
  year = {2016},
  bibtex_show = {true},
}

@article{jin2016a,
  nums = {J66},
  author = {Kyong Hwan Jin and Dongwook Lee and Jong Chul Ye},
  title = {A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank hankel matrix},
  journal = {IEEE Transactions on Computational Imaging},
  volume = {2},
  number = {4},
  pages = {480--495},
  month = {December},
  year = {2016},
  bibtex_show = {true},
  arxiv = {1504.00532},
}

@article{yoo2016topologi,
  nums = {J65},
  author = {Jaejun Yoo and Eun Young Kim and Yong Min Ahn and Jong Chul Ye},
  title = {Topological Persistence Vineyard Approach for Dynamic Functional Brain Connectivity during Resting and Gaming Stages},
  journal = {Journal of Neurscience Methods},
  volume = {267},
  pages = {1--12},
  year = {2016},
  bibtex_show = {true},
}

@article{han2016whole,
  nums = {J64},
  author = {Paul Kyu Han and Jong Chul Ye and Eung Yeop Kim and Seung Hong Choi and Sung-Hong Park},
  title = {Whole Brain Perfusion Imaging with Balanced Steady-State Free Precession Arterial Spin Labeling},
  journal = {NMR in Biomedicine},
  volume = {29},
  number = {3},
  pages = {264--274},
  month = {March},
  doi = {10.1002/nbm.3463},
  year = {2016},
  bibtex_show = {true},
}

@article{lee2016referenc,
  nums = {J63},
  author = {Juyoung Lee and Kyong Hwan Jin and Jong Chul Ye},
  title = {Reference-free single-pass EPI Nyquist ghost correction using annihilating filter-based low rank Hankel matrix (ALOHA)},
  journal = {Magnetic Resonance in Medicine},
  volume = {76},
  number = {6},
  pages = {1775--1789},
  month = {December},
  doi = {10.1002/mrm.26077},
  year = {2016},
  bibtex_show = {true},
}

@article{lee2016accelera,
  nums = {J62},
  author = {Dongwook Lee and Kyong Hwan Jin and Eung Yeop Kim and Sung-Hong Park and Jong Chul Ye},
  title = {Acceleration of MR parameter mapping using annihilating filter-based low rank Hankel matrix (ALOHA)},
  journal = {Magnetic Resonance in Medicine},
  volume = {76},
  number = {6},
  pages = {1848--1864},
  month = {December},
  doi = {10.1002/mrm.26081},
  year = {2016},
  bibtex_show = {true},
}

@article{lee2016sparse,
  nums = {J61},
  author = {Young-Beom Lee and Jeonghyeon Lee and Sungho Tak and Kangjoo Lee and Duk L. Na and Sangwon Seo and Yong Jeong and Jong Chul Ye},
  title = {Sparse SPM: Group sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis},
  journal = {NeuroImage},
  volume = {125},
  pages = {1032--1045},
  month = {January},
  doi = {10.1016/j.neuroimage.2015.10.081},
  year = {2016},
  bibtex_show = {true},
}

@article{ye2015improvin,
  nums = {J60},
  author = {Jong Chul Ye and Jong Min Kim and Yoram Bresler},
  title = {Improving M-SBL for joint sparse recovery using a subspace penalty},
  journal = {IEEE Transactions on Signal Processing},
  volume = {63},
  number = {24},
  pages = {6595--6605},
  month = {December},
  doi = {10.1109/tsp.2015.2477049},
  year = {2015},
  bibtex_show = {true},
  arxiv = {1503.06679},
}

@article{ye2015annihila,
  nums = {J59},
  author = {Kyong Hwan Jin and Jong Chul Ye},
  title = {Annihilating filter based low rank Hankel matrix approach for image inpainting},
  journal = {IEEE Transactions on Image Processing},
  volume = {24},
  number = {11},
  pages = {3498--511},
  month = {November},
  year = {2015},
  bibtex_show = {true},
}

@article{lee2015interior,
  nums = {J58},
  author = {Minji Lee and Yoseob Han and John Paul Ward and Michael Unser and Jong Chul Ye},
  title = {Interior tomography using 1D generalized total variation -- Part II: multiscale implementation},
  journal = {SIAM Journal on Imaging Sciences},
  volume = {8},
  number = {4},
  pages = {2452--2486},
  month = {October},
  doi = {10.1137/15m1015881},
  year = {2015},
  bibtex_show = {true},
}

@article{kim2015fully,
  nums = {J57},
  author = {Kyungsang Kim and Taewon Lee and Younghun Seong and Jongha Lee and Kwang Eun Jang and Jaegu Choi and Young Wook Choi and Hak Hee Kim and Hee Jung Shin and Joo Hee Cha and Seungryong Cho and Jong Chul Ye},
  title = {Fully Iterative Scatter Corrected Digital Breast Tomosynthesis using GPU-based Fast Monte Carlo Simulation and Composition Ratio Update},
  journal = {Medical Physics},
  volume = {42},
  number = {9},
  pages = {5342--5355},
  month = {September},
  doi = {10.1118/1.4928139},
  year = {2015},
  bibtex_show = {true},
}

@article{bispl2015okkyun,
  nums = {J56},
  author = {Jong Chul Ye},
  title = {Okkyun Lee, Sungho Tak, and Jong Chul Ye, " A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography using Random Effect Model' , IEEE Transactions on Medical Imaging, 2015 Jul;34(7):1602-15},
  year = {2015},
  bibtex_show = {true},
}

@article{lim2015comparat,
  nums = {J55},
  author = {JooWon Lim and KyeoReh Lee and Kyong Hwan Jin and Seungwoo Shin and SeoEun Lee and YongKeun Park and Jong Chul Ye},
  title = {Comparative study of iterative reconstruction algorithms for missing cone problems in optical diffraction tomography},
  journal = {Optics Express},
  volume = {23},
  number = {13},
  pages = {16933--16948},
  month = {June},
  year = {2015},
  bibtex_show = {true},
}

@article{lee2015a,
  nums = {J54},
  author = {Ok Kyun Lee and Hyeonbae Kang and Jong Chul Ye and Mikyoung Lim},
  title = {A non-iterative method for the electrical impedance tomography based on joint sparse recovery},
  journal = {Inverse Problems},
  volume = {31},
  number = {7},
  pages = {075002},
  month = {May},
  doi = {10.1088/0266-5611/31/7/075002},
  year = {2015},
  bibtex_show = {true},
  arxiv = {1411.0516},
}

@article{yee2015highspee,
  nums = {J53},
  author = {Dae-Su Yee and Kyong Hwan Jin and Ji Sang Yahng and Ho-Soon Yang and Chi Yup Kim and Jong Chul Ye},
  title = {High-speed terahertz reflection three-dimensional imaging using beam steering},
  journal = {Optics Express},
  volume = {23},
  number = {4},
  pages = {5027--5034},
  month = {February},
  year = {2015},
  bibtex_show = {true},
}

@article{kim2019dynamic,
  nums = {J88},
  author = {Kyungsang Kim and Young Don Son and Yoram Bresler and Zang Hee Cho and Jong Beom Ra and Jong Chul Ye},
  title = {Dynamic PET reconstruction using temporal patch-based low rank penalty for ROI-based brain kinetic analysis},
  journal = {Physics in Medicine and Biology},
  volume = {60},
  number = {5},
  pages = {2019--2046},
  month = {February},
  doi = {10.1088/0031-9155/60/5/2019},
  year = {2015},
  bibtex_show = {true},
}

@article{kim2015sparsevi,
  nums = {J52},
  author = {Kyungsang Kim and Jong Chul Ye and William Worstell and Jinsong Ouyang and Yothin Rakvongthai and Georges El Fakhri and Quanzheng Li},
  title = {Sparse-view spectral CT reconstruction using spectral patch-based low-rank penalty},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {34},
  number = {3},
  pages = {748--760},
  year = {2015},
  bibtex_show = {true},
}

@article{ward2015interior,
  nums = {J51},
  author = {John Paul Ward and Minji Lee and Jong Chul Ye and Michael Unser},
  title = {Interior Tomography using 1D Generalized Total Variation -- Part I: Mathematical Foundation},
  journal = {SIAM Journal on Imaging Sciences},
  volume = {8},
  number = {1},
  pages = {226--247},
  month = {January},
  doi = {10.1137/140982428},
  year = {2015},
  bibtex_show = {true},
}

@article{han2015compress,
  nums = {J50},
  author = {Paul Kyu Han and Sung-Hong Park and Seong G. Kim and Jong Chul Ye},
  title = {Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T},
  journal = {BioMed Research International},
  volume = {2015},
  pages = {1--24},
  month = {August},
  doi = {10.1155/2015/131926},
  year = {2015},
  bibtex_show = {true},
}

@article{min20143d,
  nums = {J49},
  author = {Junhong Min and Seamus J. Holden and Lina Carlini and Michael Unser and Suliana Manley and Jong Chul Ye},
  title = {3D high-density localization microscopy using hybrid astigmatic/ biplane imaging and sparse image reconstruction},
  journal = {Biomedical Optics Express},
  volume = {5},
  number = {11},
  pages = {3935--3948},
  year = {2014},
  bibtex_show = {true},
}

@article{khalid2014tracing,
  nums = {J48},
  author = {Arshi Khalid and Byung Sun Kim and Moo K. Chung and Jong Chul Ye and Daejong Jeon},
  title = {Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology},
  journal = {NeuroImage},
  volume = {101},
  number = {2014},
  pages = {351--363},
  year = {2014},
  bibtex_show = {true},
}

@article{yoon2014motion,
  nums = {J47},
  author = {Huisu Yoon and Kyung Sang Kim and Daniel Kim and Yoram Bresler and Jong Chul Ye},
  title = {Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {33},
  number = {11},
  pages = {2069--2085},
  month = {November},
  year = {2014},
  bibtex_show = {true},
}

@article{min2014falcon,
  nums = {J46},
  author = {Junhong Min and Cedric Vonesch and Hagai Kirshner and Lina Carlini and Nicolas Olivier and Seamus Holden and Suliana Manley and Jong Chul Ye and Michael Unser},
  title = {FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data},
  journal = {Scientific Reports},
  volume = {4},
  number = {1},
  pages = {4577},
  month = {April},
  doi = {10.1038/srep04577},
  year = {2014},
  bibtex_show = {true},
}

@article{zong2014compress,
  nums = {J45},
  author = {Xiaopeng Zong and Juyoung Lee and Alexander John Poplawsky and Seong-Gi Kim and Jong Chul Ye},
  title = {Compressed sensing fMRI using gradient-recalled echo and EPI sequences},
  journal = {NeuroImage},
  volume = {92},
  number = {2014},
  pages = {312--321},
  year = {2014},
  bibtex_show = {true},
}

@article{kim2014ultrafas,
  nums = {J44},
  author = {Kyung Sang Kim and Young Don Son and Zang Hee Cho and Jong Beom Ra and Jong Chul Ye},
  title = {Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  volume = {18},
  number = {1},
  pages = {148--156},
  year = {2014},
  bibtex_show = {true},
}

@article{kim2013realtime,
  nums = {J43},
  author = {Kyoohyun Kim and Kyung Sang Kim and HyunJoo Park and Jong Chul Ye and YongKeun Park},
  title = {Real-time visualization of 3-D dynamic microscopic objects using optical diffraction tomography},
  journal = {Optics Express},
  volume = {21},
  number = {26},
  pages = {32269--32278},
  year = {2013},
  bibtex_show = {true},
}

@article{lee2013joint,
  nums = {J42},
  author = {Okkyun Lee and Jong Chul Ye},
  title = {Joint sparsity-driven non-iterative simultaneous reconstruction of absorption and scattering in diffuse optical tomography},
  journal = {Optics Express},
  volume = {21},
  number = {22},
  pages = {26589--26604},
  year = {2013},
  bibtex_show = {true},
}

@article{choi2013a,
  nums = {J41},
  author = {Jiyoung Choi and Dong-Goo Kang and Sunghoon Kang and Younghun Sung and Jong Chul Ye},
  title = {A unified statistical framework for material decomposition using multienergy photon counting x-ray detectors},
  journal = {Medical Physics},
  volume = {40},
  number = {9},
  year = {2013},
  bibtex_show = {true},
}

@article{kim2013correcti,
  nums = {J40},
  author = {Jong Min Kim and Jong Chul Ye},
  title = {Corrections to Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing},
  journal = {IEEE Transactions on Information Theory},
  volume = {59},
  number = {9},
  pages = {6148--6149},
  year = {2013},
  bibtex_show = {true},
}

@article{min2013fluoresc,
  nums = {J39},
  author = {Junhong Min and Jaeduck Jang and Dongmin Keum and Seung-Wook Ryu and Chulhee Choi and Ki-Hun Jeong and Jong Chul Ye},
  title = {Fluorescent microscopy beyond diffraction limits using speckle illumination and joint support recovery},
  journal = {Scientific Reports},
  volume = {3},
  number = {2075},
  year = {2013},
  bibtex_show = {true},
}

@article{tak2013statisti,
  nums = {J38},
  author = {Sungho Tak and Jong Chul Ye},
  title = {Statistical analysis of fNIRS data: A comprehensive review},
  journal = {Neuroimage},
  volume = {85},
  number = {15},
  pages = {72--91},
  year = {2013},
  bibtex_show = {true},
}

@article{park2013metal,
  nums = {J37},
  author = {Hyoung Suk Park and Jae Kyu Choi and Kyung-Ran Park and Kyung Sang Kim and Sang-Hwy Lee and Jong Chul Ye and Jin Keun Seo},
  title = {Metal artifact reduction in CT by identifying missing data hidden in metals},
  journal = {Journal of X-ray Science and Technology},
  volume = {21},
  number = {3},
  pages = {357--372},
  year = {2013},
  bibtex_show = {true},
}

@article{jin2012highspee,
  nums = {J36},
  author = {Kyong Hwan Jin and Young-Gil Kim and Seung Hyun Cho and Jong Chul Ye and Dae-Su Yee},
  title = {High-speed terahertz reflection three-dimensional imaging for nondestructive evaluation},
  journal = {Optics Express},
  volume = {20},
  number = {23},
  pages = {25432--25440},
  year = {2012},
  bibtex_show = {true},
}

@article{kim2012improvin,
  nums = {J35},
  author = {Jong Min Kim and Ok Kyun Lee and Jong Chul Ye},
  title = {Improving Noise Robustness in Subspace-Based Joint Sparse Recovery},
  journal = {IEEE Transactions on Signal processing},
  volume = {60},
  number = {11},
  pages = {5799--5809},
  year = {2012},
  bibtex_show = {true},
  arxiv = {1112.3446},
}

@article{yi2012terahert,
  nums = {J34},
  author = {Minwoo Yi and Hyosub Kim and Kyong Hwan Jin and Jong Chul Ye and Jaewook Ahn},
  title = {Terahertz substance imaging by waveform shaping},
  journal = {Optics Express},
  volume = {20},
  number = {18},
  pages = {20783--20789},
  year = {2012},
  bibtex_show = {true},
}

@article{jung2012source,
  nums = {J33},
  author = {Jin Wook Jung and Ok Kyun Lee and Jong Chul Ye},
  title = {Source localization approach for functional DOT using MUSIC and FDR control},
  journal = {Optics Express},
  volume = {20},
  number = {6},
  pages = {6267--6285},
  year = {2012},
  bibtex_show = {true},
}

@article{park2012enhancem,
  nums = {J32},
  author = {Sang-Gil Park and Kyong Hwan Jin and Minwoo Yi and Jong Chul Ye and Jaewook Ahn and Ki-Hun Jeong},
  title = {Enhancement of Terahertz Pulse Emission by Optical Nanoantenna},
  journal = {ACS NANO},
  volume = {6},
  number = {3},
  pages = {2026--2031},
  year = {2012},
  bibtex_show = {true},
}

@article{li2012lipschit,
  nums = {J31},
  author = {Hua Li and Sungho Tak and Jong Chul Ye},
  title = {Lipschitz-Killing curvature based expected Euler characteristics for p-value correction in fNIRS},
  journal = {Journal of Neuroscience Methods},
  volume = {204},
  number = {1},
  pages = {61--67},
  year = {2012},
  bibtex_show = {true},
}

@article{kim2012compress,
  nums = {J30},
  author = {Jong Min Kim and Ok Kyun Lee and Jong Chul Ye},
  title = {Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing},
  journal = {IEEE Transactions on Information Theory},
  volume = {58},
  number = {1},
  pages = {278--301},
  year = {2012},
  bibtex_show = {true},
}

@article{kim2011fully,
  nums = {J29},
  author = {Kyung Sang Kim and Jong Chul Ye},
  title = {Fully 3D iterative scatter-corrected OSEM for HRRT PET using a GPU},
  journal = {Physics in Medicine and Biology},
  volume = {56},
  number = {15},
  pages = {4991--1669},
  year = {2011},
  bibtex_show = {true},
}

@article{feng2011accelera,
  nums = {J28},
  author = {Li Feng and Ricardo Otazo and Hong Jung and Jens H. Jensen and Jong Chul Ye and Daniel K. Sodickson and Daniel Kim},
  title = {Accelerated Cardiac T2 Mapping using Breath-hold Multiecho Fast Spin-Echo Pulse Sequence with k-t FOCUSS},
  journal = {Magnetic Resonance in Medicine},
  volume = {65},
  number = {6},
  pages = {1661--1669},
  year = {2011},
  bibtex_show = {true},
}

@article{lee2011a,
  nums = {J27},
  author = {Kangjoo Lee and Sungho Tak and Jong Chul Ye},
  title = {A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {30},
  number = {5},
  pages = {1176--1089},
  year = {2011},
  bibtex_show = {true},
}

@article{lee2011compress,
  nums = {J26},
  author = {Okkyun Lee and Jong Min Kim and Yoram Bresler and Jong Chul Ye},
  title = {Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {30},
  number = {5},
  pages = {1129--1142},
  year = {2011},
  bibtex_show = {true},
}

@article{tak2011quantita,
  nums = {J25},
  author = {Sungho Tak and Soo Jin Yoon and Jaeduck Jang and Kwangsun Yoo and Yong Jeong and Jong Chul Ye},
  title = {Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements},
  journal = {Neuroimage},
  volume = {55},
  number = {1},
  pages = {176--184},
  year = {2011},
  bibtex_show = {true},
}

@article{kim2011wavelet,
  nums = {J24},
  author = {Youngchan Kim and Kyung Hwan Jin and Jong Chul Ye and Jaewook Ahn and Dae-Su Yee},
  title = {Wavelet Power Spectrum Estimation for High-resolution Terahertz Time-domain Spectroscopy},
  journal = {Journal of the Optical Society of Korea},
  volume = {15},
  number = {1},
  pages = {103--108},
  year = {2011},
  bibtex_show = {true},
}

@article{choi2011sparsity,
  nums = {J23},
  author = {Jiyoung Choi and Kyung Sang Kim and Min Woo Kim and Won Seong and Jong Chul Ye},
  title = {Sparsity driven metal part reconstruction for artifact removal in dental CT},
  journal = {Journal of X-ray Science and Technology},
  volume = {19},
  number = {4},
  pages = {457--475},
  year = {2011},
  bibtex_show = {true},
}

@article{tak2010quantifi,
  nums = {J22},
  author = {Sungho Tak and Jaeduck Jang and Kangjoo Lee and Jong Chul Ye},
  title = {Quantification of CMRO2 without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements},
  journal = {Physics in Medicine and Biology},
  volume = {55},
  number = {11},
  pages = {3249--3269},
  year = {2010},
  bibtex_show = {true},
}

@article{jang2010selfrefe,
  nums = {J21},
  author = {Jaeduck Jang and Chae Yun Bae and Je-Kyun Park and Jong Chul Ye},
  title = {Self-reference quantitative phase microscopy for microfluidic devices},
  journal = {Optics Letters},
  volume = {35},
  number = {4},
  pages = {514--516},
  year = {2010},
  bibtex_show = {true},
}

@article{lee2010coherent,
  nums = {J20},
  author = {Kanghee Lee and Kyung Hwan Jin and Jong Chul Ye},
  title = {Coherent optical computing for T-ray imaging},
  journal = {Optics Letters},
  volume = {35},
  number = {4},
  pages = {508--510},
  year = {2010},
  bibtex_show = {true},
}

@article{jung2010radial,
  nums = {J19},
  author = {Hong Jung and Jaeseok Park and Jaeheung Yoo and Jong Chul Ye},
  title = {Radial k-t FOCUSS for High-Resolution Cardiac Cine MRI},
  journal = {Magnetic Resonance in Medicine},
  volume = {63},
  pages = {68--78},
  year = {2010},
  bibtex_show = {true},
}

@article{jung2010motion,
  nums = {J18},
  author = {Hong Jung and Jong Chul Ye},
  title = {Motion Estimated and Compensated Compressed Sensing Dynamic Magnetic Resonance Imaging: What We Can Learn From Video Compression Techniques},
  journal = {International Journal of Imaging Systems and technology},
  volume = {20},
  pages = {81--98},
  year = {2010},
  bibtex_show = {true},
}

@article{jin2009compress,
  nums = {J17},
  author = {Kyung Hwan Jin and Youngchan Kim and Dae-Su Yee and Ok Kyun Lee and Jong Chul Ye},
  title = {Compressed sensing pulse-echo mode terahertz reflectance tomography},
  journal = {Optics Letters},
  volume = {34},
  number = {24},
  pages = {3863--3865},
  year = {2009},
  bibtex_show = {true},
}

@article{jang2009wavelet,
  nums = {J16},
  author = {Kwang Eun Jang and Sungho Tak and Jinwook Jung and Jaeduck Jang and Yong Jeong and Jong Chul Ye},
  title = {Wavelet minimum description length detrending for near-infrared spectroscopy},
  journal = {Journal of Biomedical optics , No},
  volume = {14},
  year = {2009},
  bibtex_show = {true},
}

@article{jung2009kt,
  nums = {J15},
  author = {Hong Jung and Kyunghyun Sung and Krishna S. Nayak and Eung Yeop Kim and Jong Chul Ye},
  title = {k-t FOCUSS: A General Compressed Sensing Framework for High Resolution Dynamic MRI},
  journal = {Magnetic Resonance in Medicine},
  volume = {61},
  number = {1},
  pages = {103--116},
  year = {2009},
  bibtex_show = {true},
}

@article{ye2009nirsspm,
  nums = {J14},
  author = {Jong Chul Ye and Sungho Tak and Kwang Eun Jang and Jinwook Jung and Jaeduck Jang},
  title = {NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy},
  journal = {Neuroimage},
  volume = {44},
  number = {2},
  pages = {428--447},
  year = {2009},
  bibtex_show = {true},
}

@article{ye2007compress,
  nums = {J13},
  author = {Jong Chul Ye},
  title = {Compressed sensing shape estimation of star-shaped objects in Fourier imaging},
  journal = {IEEE Signal Processing Letters},
  volume = {14},
  pages = {750--753},
  year = {2007},
  bibtex_show = {true},
}

@article{jung2007improved,
  nums = {J12},
  author = {Hong Jung and Jong Chul Ye and Eung Yeop Kim},
  title = {Improved k-t BLAST and k-t SENSE using FOCUSS},
  journal = {Physics in Medicine and Biology},
  volume = {52},
  pages = {3201--3226},
  year = {2007},
  bibtex_show = {true},
}

@article{jang2007single,
  nums = {J11},
  author = {Kwang Eun Jang and Jong Chul Ye},
  title = {Single channel blind image deconvolution from radially symmetric blur kernels},
  journal = {Optics Express},
  volume = {15},
  pages = {3791--3803},
  year = {2007},
  bibtex_show = {true},
}

@article{ye2007projecti,
  nums = {J10},
  author = {Jong Chul Ye and Sungho Tak and Yeji Han and Hyun Wook Park},
  title = {Projection Reconstruction MR Imaging using FOCUSS},
  journal = {Magnetic Resonance in Medicine},
  volume = {57},
  pages = {764--775},
  month = {April},
  year = {2007},
  bibtex_show = {true},
}

@article{ye2006asymptot,
  nums = {J9},
  author = {Jong Chul Ye and Pierre Moulin and Yoram Bresler},
  title = {Asymptotic global confidence regions for 3-D parametric shape estimation in inverse problems},
  journal = {IEEE Transactions on Image Processing},
  volume = {15},
  pages = {2904--2919},
  year = {2006},
  bibtex_show = {true},
}

@article{ye2003cramerra,
  nums = {J8},
  author = {Jong Chul Ye and Yoram Bresler and Pierre Moulin},
  title = {Cramer-Rao bounds for parametric shape estimation in inverse problems},
  journal = {IEEE Transactions on Image Processing},
  volume = {12},
  number = {1},
  pages = {71--84},
  year = {2003},
  bibtex_show = {true},
}

@article{ye2002a,
  nums = {J7},
  author = {Jong Chul Ye},
  title = {A self-referencing level-set method for image reconstruction from sparse Fourier samples},
  journal = {International Journal of Computer Vision},
  volume = {50},
  number = {3},
  pages = {253--270},
  year = {2002},
  bibtex_show = {true},
}

@article{ye2001nonlinea,
  nums = {J6},
  author = {Jong Chul Ye and Charles A. Bouman and Kevin J. Webb and Rick P. Millane},
  title = {Nonlinear multigrid algorithms for Bayesian optical diffusion tomography},
  journal = {IEEE Transactions on Image Processing},
  volume = {10},
  number = {6},
  pages = {909--922},
  year = {2001},
  bibtex_show = {true},
}

@article{ye2001cramerra,
  nums = {J5},
  author = {Jong Chul Ye and Yoram Bresler and Pierre Moulin},
  title = {Cramer-Rao bounds for 2-D target shape estimation in nonlinear inverse scattering problems with application to passive radar},
  journal = {IEEE Transactions on Image Processing},
  volume = {49},
  number = {5},
  pages = {771--783},
  year = {2001},
  bibtex_show = {true},
}

@article{ye2000asymptot,
  nums = {J4},
  author = {Jong Chul Ye and Yoram Bresler and Pierre Moulin},
  title = {Asymptotic global confidence regions in parametric shape estimation problems},
  journal = {IEEE Transactions on Information Theory},
  volume = {46},
  number = {5},
  pages = {1881--1895},
  year = {2000},
  bibtex_show = {true},
}

@article{ye1999optical,
  nums = {J3},
  author = {Jong Chul Ye and Kevin J. Webb and Charles A. Bouman and Rick P. Millane},
  title = {Optical diffusion tomography by iterative-coordinate-descent optimization in a Bayesian framework},
  journal = {JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION},
  volume = {16},
  number = {10},
  pages = {2400--2413},
  year = {1999},
  bibtex_show = {true},
}

@article{ye1999modified,
  nums = {J2},
  author = {Jong Chul Ye and Kevin J. Webb and Rick P. Millane and Thomas J. Downar},
  title = {Modified distorted Born iterative method with an approximate Frechet derivative for optical diffusion tomography},
  journal = {JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION},
  volume = {16},
  number = {7},
  pages = {1814--1826},
  year = {1999},
  bibtex_show = {true},
}

@article{ye1998importan,
  nums = {J1},
  author = {Jong Chul Ye and Rick P. Millane and Kevin J. Webb and Thomas J. Downar},
  title = {Importance of the grad(D) term in frequency-resolved optical diffusion imaging},
  journal = {Optics Letters},
  volume = {23},
  number = {18},
  pages = {1423--1425},
  year = {1998},
  bibtex_show = {true},
}