Publications

2026

1. [J180] ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning

   Hyungjin Chung, Dohun Lee, Zihui Wu, Byung-Hoon Kim, Katherine L. Bouman, and Jong Chul Ye

   Medical Image Analysis (in press), 2026

   arXiv Bib

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

2. [C109] Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models

   Taesung Kwon, Jonghyun Park, Hyungjin Chung, and Jong Chul Ye

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2026

   arXiv Bib

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

3. [C108] Accelerated Image Editing via Consistency-Aware Source Token Pruning

   Jeongsol Kim, Jong Chul Ye, Yufei Wang, and Jian Wang

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2026

   Bib

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

4. [C107] MotionCFG: Boosting Motion Dynamics via Semantic Motion Sharpening

   Byungjun Kim, Soobin Um, and Jong Chul Ye

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2026

   Bib

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

5. [C106] Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models

   Jeongjae Lee, Jinho Chang, Jeongsol Kim, and Jong Chul Ye

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2026

   DOI arXiv Bib

   @inproceedings{lee2026reward,
     author = {Lee, Jeongjae and Chang, Jinho and Kim, Jeongsol and Ye, Jong Chul},
     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},
   }

6. [C105] CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation

   Seonghyun Jin, Youngmin Kim, Sunwoo Park, and Jong Chul Ye

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2026

   arXiv Bib

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

7. [C104] Aligning Few-Step Generative Model via Amortizing Sample-Based Variational Inference

   Jaewoo Lee, Hyeongyu Kang, Dohyun Kim, Kyuil Sim, Woocheol Shin, Minsu Kim, Taeyoung Yun, Jeongjae Lee, Sanghyeok Choi, Tabitha Edith Lee, Jong Chul Ye, and Jinkyoo Park

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2026

   Bib

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

8. [C103] Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis

   Choonghan Kim, Hyunmin Hwang, Hangeol Chang, Jaemin Kim, Jinse Park, Jae-Sung Lim, and Jong Chul Ye

   In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, Oct 2026

   arXiv
9. [C102] Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models

   Jaemin Kim and Jong Chul Ye

   In Findings of the Association for Computational Linguistics: EMNLP 2026, Oct 2026

   arXiv
10. [C101] PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation

    Chaeyoung Huh, Hyunmin Hwang, Jung Hwan Shin, Sungyang Jo, Jinse Park, and Jong Chul Ye

    In Findings of the Association for Computational Linguistics: EMNLP 2026, Oct 2026

    arXiv
11. [C100] FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction

    Seonghyun Jin and Jong Chul Ye

    In The 19th European Conference on Computer Vision (ECCV), 2026

    arXiv Bib

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

12. [C99] InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem

    Yeobin Hong, Suhyeon Lee, Hyungjin Chung, and Jong Chul Ye

    In The 19th European Conference on Computer Vision (ECCV), 2026

    arXiv Bib

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

13. [C98] Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution

    Bryan Sangwoo Kim, Jonghyun Park, and Jong Chul Ye

    In The 19th European Conference on Computer Vision (ECCV), 2026

    arXiv Bib

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

14. [C97] Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing

    Dohun Lee, Chun-Hao Paul Huang, Xuelin Chen, Jong Chul Ye, Duygu Ceylan, and Hyeonho Jeong

    In The 19th European Conference on Computer Vision (ECCV), 2026

    arXiv Bib

    @inproceedings{lee2026memoryv2,
      author = {Lee, Dohun and Huang, Chun-Hao Paul and Chen, Xuelin and Ye, Jong Chul and Ceylan, Duygu and Jeong, Hyeonho},
      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},
    }

15. [C96] 3D-ReGen: A Unified 3D Geometry Regeneration Framework

    Geon Yeong Park, Roman Shapovalov, Rakesh Ranjan, Jong Chul Ye, Andrea Vedaldi, and Thu Nguyen-Phuoc

    In The 19th European Conference on Computer Vision (ECCV), 2026

    Bib

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

16. [C95] Unifying Masked Diffusion Models with Various Generation Orders and Beyond

    Chunsan Hong, Sanghyun Lee, and Jong Chul Ye

    In International Conference on Machine Learning ( ICML ), 2026

    spotlight, top 2.2%

    arXiv Bib

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

17. [C94] Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs

    Jaemin Kim, Hangeol Chang, Hyunmin Hwang, Choonghan Kim, and Jong Chul Ye

    In International Conference on Machine Learning ( ICML ), 2026

    arXiv Bib

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

18. [C93] Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models

    Jaa-Yeon Lee, Yeobin Hong, Taesung Kwon, and Jong Chul Ye

    In International Conference on Machine Learning ( ICML ), 2026

    spotlight, top 2.2%

    arXiv Bib

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

19. [C92] Align Your Trajectory Tangent: Training Better Consistency Models via Manifold-Aligned Tangents

    Beomsu Kim, ByungHee Cha, and Jong Chul Ye

    In International Conference on Machine Learning ( ICML ), 2026

    arXiv Bib

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

20. [C91] ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts

    Jinho Chang, Changsun Lee, Hyungjin Chung, and Jong Chul Ye

    In International Conference on Machine Learning ( ICML ), 2026

    arXiv Bib

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

21. [C90] PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment

    Suhyeon Lee and Jong Chul Ye

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

    arXiv Bib

    @inproceedings{lee2026promptlo,
      author = {Lee, Suhyeon and Ye, Jong Chul},
      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},
    }

22. [C89] ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding

    Byeongjun Park, Byung-Hoon Kim, Hyungjin Chung, and Jong Chul Ye

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

    arXiv Bib

    @inproceedings{park2026redirect,
      author = {Park, Byeongjun and Kim, Byung-Hoon and Chung, Hyungjin and Ye, Jong Chul},
      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},
    }

23. [C88] Reviving ConvNeXt for Efficient Convolutional Diffusion Models

    Taesung Kwon, Lorenzo Bianchi, Lennart Wittke, Felix Watine, Fabio Carrara, Jong Chul Ye, Romann M. Weber, and Vinicius C. Azevedo

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

    arXiv Bib

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

24. [C87] Zero4D: Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video Diffusion Models

    Jangho Park, Taesung Kwon, and Jong Chul Ye

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026

    arXiv Bib

    @inproceedings{park2026zero4d,
      author = {Park, Jangho and Kwon, Taesung and Ye, Jong Chul},
      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},
    }

25. [C86] Training-Free Reward-Guided Image Editing via Trajectory Optimal Control

    Jinho Chang, Jaemin Kim, and Jong Chul Ye

    In Proceedings of the Fourteenth International Conference on Learning Representations (ICLR), 2026

    arXiv Bib

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

26. [C85] Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies

    Chunsan Hong, Seonho An, Min-Soo Kim, and Jong Chul Ye

    In Proceedings of the Fourteenth International Conference on Learning Representations (ICLR), 2026

    arXiv Bib

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

27. [C84] PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models

    Jeongjae Lee and Jong Chul Ye

    In Proceedings of the Fourteenth International Conference on Learning Representations (ICLR), 2026

    Bib

    @inproceedings{lee2026pcpo,
      author = {Lee, Jeongjae and Ye, Jong Chul},
      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},
    }

28. [C83] FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing

    Jeongsol Kim, Yeobin Hong, Jonghyun Park, and Jong Chul Ye

    In Proceedings of the Fourteenth International Conference on Learning Representations (ICLR), 2026

    arXiv Bib

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

29. [C82] Diverse Text-to-Image Generation via Contrastive Noise Optimization

    Byungjun Kim, Soobin Um, and Jong Chul Ye

    In Proceedings of the Fourteenth International Conference on Learning Representations (ICLR), 2026

    arXiv Bib

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

30. [C81] DreamMakeup: Face Makeup Customization using Latent Diffusion Models

    Geon Yeong Park, Inhwa Han, Serin Yang, Yeobin Hong, Seongmin Jeong, Heechan Jeon, Myeongjin Goh, Sung Yi, Jin Nam, and Jong Chul Ye

    In The IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

    arXiv Bib

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

31. [J179] Image quality improvement of liver ultrasound using unsupervised deep learning

    J. Huh, J. H. Choi, E. S. Lee, Jong Chul Ye, J. E. Lee, H. J. Park, and B. I Choi

    PloS one, 2026

    Bib

    @article{huh2026image,
      author = {Huh, J. and Choi, J. H. and Lee, E. S. and Ye, Jong Chul 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},
    }

32. [J178] Read like a radiologist: Efficient vision-language model for 3d medical imaging interpretation

    C. Lee, S. Park, C. I. Shin, W. H. Choi, H. J. Park, J. E. Lee, and Jong Chul Ye

    Medical Image Analysis, 2026

    arXiv Bib

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

2025

1. [C80] Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment

   Bryan Sangwoo Kim, Jeongsol Kim, and Jong Chul Ye

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2025

   Spotlight

   arXiv Bib

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

2. [C79] Aligning Text to Image in Diffusion Models is Easier Than You Think

   Jaa-Yeon Lee, ByungHee Cha, Jeongsol Kim, and Jong Chul Ye

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2025

   arXiv Bib

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

3. [C78] Guided Diffusion Sampling on Function Spaces with Applications to PDEs

   Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, and Anima Anandkumar

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2025

   arXiv Bib

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

4. [C77] InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems

   Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, and Michael Elad

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2025

   Bib

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

5. [C76] Reangle-A-Video: 4D Video Generation as Video-to-Video Translation

   Hyeonho Jeong, Suhyeon Lee, and Jong Chul Ye

   In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii, 2025

   arXiv Bib

   @inproceedings{jeong2025reanglea,
     author = {Jeong, Hyeonho and Lee, Suhyeon and Ye, Jong Chul},
     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},
   }

6. [C75] VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models

   Taesung Kwon and Jong Chul Ye

   In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii, 2025

   arXiv Bib

   @inproceedings{kwon2025visionxl,
     author = {Kwon, Taesung and Ye, Jong Chul},
     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},
   }

7. [C74] Free2Guide: Training-Free Text-to-Video Alignment using Image LVLM

   Jaemin Kim, Bryan Sangwoo Kim, and Jong Chul Ye

   In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii, 2025

   Bib

   @inproceedings{kim2025free2gui,
     author = {Kim, Jaemin and Kim, Bryan Sangwoo and Ye, Jong Chul},
     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},
   }

8. [C73] FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems

   Jeongsol Kim, Bryan Sangwoo Kim, and Jong Chul Ye

   In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii, 2025

   arXiv Bib

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

9. [C72] Inference-Time Diffusion Model Distillation

   Geon Yeong Park, Sang Wan Lee, and Jong Chul Ye

   In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2025, Hawaii, 2025

   arXiv Bib

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

10. [C71] Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation

    Soobin Um, Beomsu Kim, and Jong Chul Ye

    In International Conference on Machine Learning ( ICML ), 2025

    arXiv Bib

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

11. [C70] LDMol: Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Space Surpass the AR Models

    Jinho Chang and Jong Chul Ye

    In International Conference on Machine Learning ( ICML ), 2025

    Bib

    @inproceedings{chang2025ldmol,
      author = {Chang, Jinho and Ye, Jong Chul},
      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},
    }

12. [C69] Minority-Focused Text-to-Image Generation via Prompt Optimization

    Soobin Um and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ) , 2025, 2025

    selected as oral presentation, top 0.74%

    arXiv Bib

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

13. [C68] Optical-Flow Guided Prompt Optimization for Coherent Video Generation

    Hyelin Nam, Jaemin Kim, Dohun Lee, and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2025

    arXiv Bib

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

14. [C67] Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI

    Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2025

    arXiv Bib

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

15. [C66] VideoGuide: Improving Video Diffusion Models without Training Through a Teacher’s Guide

    Dohun Lee, Bryan Sangwoo Kim, Geon Yeong Park, and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2025

    arXiv Bib

    @inproceedings{lee2025videogui,
      author = {Lee, Dohun and Kim, Bryan Sangwoo and Park, Geon Yeong and Ye, Jong Chul},
      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},
    }

16. [C65] Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation

    Hyeonho Jeong, Chun-Hao Paul Huang, Jong Chul Ye, Niloy Mitra, and Duygu Ceylan

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2025

    arXiv Bib

    @inproceedings{jeong2025track4ge,
      author = {Jeong, Hyeonho and Huang, Chun-Hao Paul and Ye, Jong Chul and Mitra, Niloy and Ceylan, Duygu},
      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},
    }

17. [C64] Solving Video Inverse Problems Using Image Diffusion Models

    Taesung Kwon and Jong Chul Ye

    In The Thirteenth International Conference on Learning Representations (ICLR), 2025

    arXiv Bib

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

18. [C63] CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

    Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, and Jong Chul Ye

    In The Thirteenth International Conference on Learning Representations (ICLR), 2025

    arXiv Bib

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

19. [C62] Regularization by Texts for Latent Diffusion Inverse Solvers

    Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, and Jong Chul Ye

    In The Thirteenth International Conference on Learning Representations (ICLR), 2025

    arXiv Bib

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

20. [C61] ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler

    Serin Yang, Taesung Kwon, and Jong Chul Ye

    In The Thirteenth International Conference on Learning Representations (ICLR), 2025

    arXiv Bib

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

21. [C60] TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation

    Gihyun Kwon and Jong Chul Ye

    In The Thirteenth International Conference on Learning Representations (ICLR), 2025

    arXiv Bib

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

22. [C59] Generalized Consistency Trajectory Models for Image Manipulation

    Beomsu Kim, Jaemin Kim, Jeongsol Kim, and Jong Chul Ye

    In The Thirteenth International Conference on Learning Representations (ICLR), 2025

    arXiv Bib

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

23. [C58] Simple ReFlow: Improved Techniques for Fast Flow Models

    Beomsu Kim, Yu-Guan Hsieh, Michal Klein, cuturi, Jong Chul Ye, Bahjat Kawar, and James Thornton

    In The Thirteenth International Conference on Learning Representations (ICLR), 2025

    arXiv Bib

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

24. [C57] Spectral Motion Alignment for Video Motion Transfer using Diffusion Models

    Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, and Jong Chul Ye

    In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025

    arXiv Bib

    @inproceedings{park2025spectral,
      author = {Park, Geon Yeong and Jeong, Hyeonho and Lee, Sang Wan and Ye, Jong Chul},
      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},
    }

25. [J177] Wholistic report generation for Breast ultrasound using LangChain

    Jaeyoung Huh, Hye Shin Ahn, Hyun Jeong Park, and Jong Chul Ye

    Computerized Medical Imaging and Graphics, vol. 127, pp. 102697, 2025

    DOI Bib

    @article{huh2025wholisti,
      author = {Huh, Jaeyoung and Ahn, Hye Shin and Park, Hyun Jeong and Ye, Jong Chul},
      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},
    }

26. [J176] Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models

    Dongjin Seo, Soobin Um, Sangbin Lee, Jong Chul Ye, and Haejun Chung

    ACS Photonics, vol. 13, no. 2, pp. 363–372, 2025

    DOI arXiv Bib

    @article{seo2025physicsg,
      author = {Seo, Dongjin and Um, Soobin and Lee, Sangbin and Ye, Jong Chul and Chung, Haejun},
      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},
    }

27. [J175] Video Diffusion Posterior Sampling for Seeing Beyond Dynamic Scattering Layers

    Taesung Kwon, Gookho Song, Yoosun Kim, Jong Chul Ye, and Mooseok Jang

    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, no. 12, pp. 11152–11167, 2025

    DOI Bib

    @article{kwon2025video,
      author = {Kwon, Taesung and Song, Gookho and Kim, Yoosun and Ye, Jong Chul and Jang, Mooseok},
      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},
    }

28. [J174] End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding

    Kwanyoung Kim, Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Joongyo Lee, Jin Sung Kim, Yong Bae Kim, and Jong Chul Ye

    Medical Image Analysis (in press), 2025

    arXiv Bib

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

29. [J173] Steerable conditional diffusion for out-of-distribution adaptation in medical image reconstruction

    Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae Hoon Roh, Simon Arridge, Peter Maass, Bangti Jin, and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 44, no. 5, pp. 2093–2104, 2025

    arXiv Bib

    @article{bispl2025riccardo,
      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 Ye, Jong Chul},
      journal = {IEEE Transactions on Medical Imaging},
      volume = {44},
      number = {5},
      pages = {2093--2104},
      year = {2025},
    }

30. [J172] Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion

    Jooae Choe and others

    European Journal of Radiology (in press), 2025

    Bib

    @article{choe2025improvin,
      author = {Choe, Jooae 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},
    }

2024

1. [C56] DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing

   Hyeonho Jeong, Jinho Chang, Geon Yeong Park, and Jong Chul Ye

   In Proceedings of 2024 European Conference on Computer Vision (ECCV), 2024

   arXiv Bib

   @inproceedings{jeong2024dreammot,
     author = {Jeong, Hyeonho and Chang, Jinho and Park, Geon Yeong and Ye, Jong Chul},
     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},
   }

2. [C55] Self-Guided Generation of Minority Samples Using Diffusion Models

   Soobin Um and Jong Chul Ye

   In Proceedings of 2024 European Conference on Computer Vision (ECCV), 2024

   arXiv Bib

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

3. [C54] Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems

   Hyungjin Chung and Jong Chul Ye

   In Proceedings of 2024 European Conference on Computer Vision (ECCV), 2024

   arXiv Bib

   @inproceedings{ye2024deep,
     author = {Chung, Hyungjin and Ye, Jong Chul},
     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},
   }

4. [C53] OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

   Kwanyoung Kim, Yujin Oh, and Jong Chul Ye

   In Proceedings of 2024 European Conference on Computer Vision (ECCV), 2024

   arXiv Bib

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

5. [C52] DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation

   Jeongsol Kim, Geon Yeong Park, and Jong Chul Ye

   In Proceedings of 2024 European Conference on Computer Vision (ECCV), 2024

   arXiv Bib

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

6. [C51] Defining Neural Network Architecture through Polytope Structures of Dataset

   Sangmin Lee, Abbas Mammadov, and Jong Chul Ye

   In Proceedings of the International Conference on Machine Learning (ICML), 2024

   arXiv Bib

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

7. [C50] Prompt-tuning latent diffusion models for inverse problems

   Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, and Mauricio Delbracio

   In Proceedings of the International Conference on Machine Learning (ICML), 2024

   arXiv Bib

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

8. [C49] Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing

   Hyelin Nam, Gihyun Kwon, Geon Yeong Park, and Jong Chul Ye

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

   arXiv Bib

   @inproceedings{nam2024contrast,
     author = {Nam, Hyelin and Kwon, Gihyun and Park, Geon Yeong and Ye, Jong Chul},
     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},
   }

9. [C48] One-Shot Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

   Hyeonho Jeong, Geon Yeong Park, and Jong Chul Ye

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

   Bib

   @inproceedings{jeong2024oneshot,
     author = {Jeong, Hyeonho and Park, Geon Yeong and Ye, Jong Chul},
     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},
   }

10. [C47] Self-supervised debiasing using low rank regularization

    Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, and Sang Wan Lee

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

    arXiv Bib

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

11. [C46] Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models

    Gihyun Kwon, Simon Jenni, Dingzeyu Li, Joon-Young Lee, Jong Chul Ye, and Fabian Caba Heilbron

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

    arXiv Bib

    @inproceedings{kwon2024concept,
      author = {Kwon, Gihyun and Jenni, Simon and Li, Dingzeyu and Lee, Joon-Young and Ye, Jong Chul and Heilbron, Fabian Caba},
      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},
    }

12. [C45] Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models

    Hyeonho Jeong and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2024

    arXiv Bib

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

13. [C44] Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

    Hyungjin Chung, Suhyeon Lee, and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2024

    arXiv Bib

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

14. [C43] Unpaired Image-to-Image Translation via Neural Schrödinger Bridge

    Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2024

    arXiv Bib

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

15. [C42] Don’t Play Favorites: Minority Guidance for Diffusion Models

    Soobin Um, Suhyeon Lee, and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2024

    arXiv Bib

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

16. [C41] ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF

    JangHo Park, Gihyun Kwon, and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2024

    arXiv Bib

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

17. [C40] LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation

    Suhyeon Lee, Won Jun Kim, Jinho Chang, and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2024

    arXiv Bib

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

18. [C39] Patch-Wise Graph Contrastive Learning for Image Translation

    Chanyong Jung, Gihyun Kwon, and Jong Chul Ye

    In The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024

    arXiv Bib

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

19. [J171] Fundus image enhancement through direct diffusion bridges

    Sehui Kim, Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, and Jong Chul Ye

    IEEE Journal of Biomedical and Health Informatics, 2024

    DOI arXiv Bib

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

20. [J170] LLM-driven Multimodal Target Volume Contouring in Radiation Oncology

    Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Yeona Cho, Ik Jae Lee, Jin Sung Kim, and Jong Chul Ye

    Nature Communications, vol. 15, no. 1, pp. 9186, 2024

    arXiv Bib

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

21. [J169] MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer

    S. Park, I. J. Lee, J. W. Kim, and Jong Chul Ye

    IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 10, pp. 6180–6192, Oct 2024

    Bib

    @article{park2024msdino,
      author = {Park, S. and Lee, I. J. and Kim, J. W. and Ye, Jong Chul},
      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 = oct,
      year = {2024},
    }

22. [J168] Magnitude and Angle Dynamics in Training Single ReLU Neurons

    Sangmin Lee and Jong Chul Ye

    Neural Networks (in press), 2024

    arXiv Bib

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

23. [J167] End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography

    J. Oh, B. Kim, G. Oh, Y. Hwangbo, and Jong Chul Ye

    Endocrinology and Metabolism, 2024

    Bib

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

24. [J166] Coronary plaque phenotype associated with positive remodeling

    Daisuke Kinoshita, Keishi Suzuki, Haruhito Yuki, Takayuki Niida, Daichi Fujimoto, Yoshiyasu Minami, Damini Dey, Hang Lee, Iris McNulty, Junya Ako, and others

    Journal of cardiovascular computed tomography, vol. 18, no. 4, pp. 401–407, 2024

    Bib

    @article{bispl2024kinoshit,
      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},
    }

25. [J165] Bidirectional generation of structure and properties through a single molecular foundation model

    Jinho Chang and Jong Chul Ye

    Nature Communications, vol. 15, no. 1, pp. 2323, 2024

    arXiv Bib

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

26. [J164] Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI without AIF Measurements

    Gyutaek Oh, Yeonsil Moon, Won-Jin Moon, and Jong Chul Ye

    NeuroImage, vol. 291, pp. 120571, May 2024

    DOI Bib

    @article{oh2024unpaired,
      author = {Oh, Gyutaek and Moon, Yeonsil and Moon, Won-Jin and Ye, Jong Chul},
      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},
    }

27. [J163] Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction

    G. Oh, S. Jung, J. E. Lee, and Jong Chul Ye

    IEEE Transactions on Computational Imaging, vol. 10, pp. 43–53, 2024

    arXiv Bib

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

28. [J162] Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models

    J. Huh, S. Park, J. E. Lee, and Jong Chul Ye

    IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 3, pp. 1692–1703, Mar 2024

    Bib

    @article{huh2024improvin,
      author = {Huh, J. and Park, S. and Lee, J. E. and Ye, Jong Chul},
      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 = mar,
      year = {2024},
    }

29. [J161] C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

    Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, and Jong Chul Ye

    Medical Image Analysis, vol. 91, pp. 103022, Jan 2024

    arXiv Bib

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

30. [J160] Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology

    Sangjoon Park, Eun Sun Lee, Kyung Sook Shin, Jeong Eun Lee, and Jong Chul Ye

    Medical Image Analysis, vol. 91, pp. 103021, Jan 2024

    arXiv Bib

    @article{park2024selfsupe2,
      author = {Park, Sangjoon and Lee, Eun Sun and Shin, Kyung Sook and Lee, Jeong Eun and Ye, Jong Chul},
      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 = jan,
      year = {2024},
    }

2023

1. [B2] Deep Learning for Biomedical Image Reconstruction

   Jong Chul Ye, Yonina C. Eldar, and Michael Unser

   Cambridge University Press, ISBN 978-1-316-51751-2(edited volume) , 2023

   DOI Bib

   @book{ye2023deep,
     author = {Ye, Jong Chul and Eldar, Yonina C. and Unser, Michael},
     editor = {Ye, Jong Chul and Eldar, Yonina C. and Unser, Michael},
     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},
   }

2. [C38] Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models

   Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, and Jong Chul Ye

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2023

   arXiv Bib

   @inproceedings{park2023energyba,
     author = {Park, Geon Yeong and Kim, Jeongsol and Kim, Beomsu and Lee, Sang Wan and Ye, Jong Chul},
     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},
   }

3. [C37] Direct Diffusion Bridge using Data Consistency for Inverse Problems

   Hyungjin Chung, Jeongsol Kim, and Jong Chul Ye

   In Conference on Neural Information Processing Systems ( NeurIPS ), 2023

   arXiv Bib

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

4. [C36] Zero-shot contrastive loss for text-guided diffusion image style transfer

   Serin Yang, Hyunmin Hwang, and Jong Chul Ye

   In IEEE/CVF International Conference on Computer Vision (ICCV), 2023

   arXiv Bib

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

5. [C35] Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models

   S. Lee, H. Chung, M. Park, J. Park, W. S. Ryu, and Jong Chul Ye

   In IEEE/CVF International Conference on Computer Vision (ICCV), 2023

   arXiv Bib

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

6. [C34] Denoising MCMC for Accelerating Diffusion-Based Generative Models

   Beomsu Kim and Jong Chul Ye

   In International Conference on Machine Learning ( ICML ), oral presentation, 2023

   arXiv Bib

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

7. [C33] Minimizing Trajectory Curvature of ODE-based Generative Models

   Sangyun Lee, Beomsu Kim, and Jong Chul Ye

   In International Conference on Machine Learning ( ICML ), (2023), 2023

   arXiv Bib

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

8. [C32] Training debiased subnetworks with contrastive weight pruning

   Geon Yeong Park, Sangmin Lee, Sang Wan Lee, and Jong Chul Ye

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

   arXiv Bib

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

9. [C31] Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

   Hyungjin Chung, Jeongsol Kim, Sehui Kim, and Jong Chul Ye

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

   arXiv Bib

   @inproceedings{chung2023parallel,
     author = {Chung, Hyungjin and Kim, Jeongsol and Kim, Sehui and Ye, Jong Chul},
     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},
   }

10. [C30] Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

    Hyungjin Chung, Dohoon Ryu, Michael T. Mccann, Marc L. Klasky, and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

    arXiv Bib

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

11. [C29] Diffusion Posterior Sampling for General Noisy Inverse Problems

    Hyungjin Chung, Jeongsol Kim, Michael Thompson Mccann, Marc Louis Klasky, and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2023 Spotlight Presentation, 2023

    arXiv Bib

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

12. [C28] Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation

    Boah Kim, Yujin Oh, and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2023

    arXiv Bib

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

13. [C27] Diffusion-based Image Translation using disentangled style and content representation

    Gihyun Kwon and Jong Chul Ye

    In International Conference on Learning Representations ( ICLR ), 2023

    arXiv Bib

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

14. [J159] A Novel Deep Learning Model for a Computed Tomography Diagnosis of Coronary Plaque Erosion

    Sangjoon Park, Haruhito Yuki, Takayuki Niida, Keishi Suzuki, Daisuke Kinoshita, Iris McNulty, Alexander Broersen, Jouke Dijkstra, Hang Lee, Tsunekazu Kakuta, Jong Chul Ye, and Ik-Kyung Jang

    Scientific Reports, vol. 13, no. 1, pp. 22992, 2023

    DOI Bib

    @article{park2023a,
      author = {Park, Sangjoon and Yuki, Haruhito and Niida, Takayuki and Suzuki, Keishi and Kinoshita, Daisuke and McNulty, Iris and Broersen, Alexander and Dijkstra, Jouke and Lee, Hang and Kakuta, Tsunekazu and Ye, Jong Chul and Jang, Ik-Kyung},
      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},
    }

15. [J158] One-Shot Adaptation of GAN in Just One CLIP

    Gihyun Kwon and Jong Chul Ye

    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, pp. 12179–12191, Oct 2023

    arXiv Bib

    @article{kwon2023oneshot,
      author = {Kwon, Gihyun and Ye, Jong Chul},
      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 = oct,
      year = {2023},
    }

16. [J157] Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment

    Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, and Jong Chul Ye

    IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 8, pp. 4143–4153, Aug 2023

    arXiv Bib

    @article{oh2023multisca,
      author = {Oh, Yujin and Bae, Go Eun and Kim, Kyung-Hee and Yeo, Min-Kyung and Ye, Jong Chul},
      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 = aug,
      year = {2023},
    }

17. [J156] The Foundations of Computational Imaging: A signal processing perspective

    W. C. Karl, J. E. Fowler, C. A. Bouman, M. Çetin, B. Wohlberg, and Jong Chul Ye

    IEEE Signal Processing Magazine, vol. 40, no. 5, pp. 40–53, Jul 2023

    Bib

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

18. [J155] 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

    Hye Jeon Hwang, Hyunjong Kim, Joon Beom Seo, Jong Chul Ye, Gyutaek Oh, Sang Min Lee, Ryoungwoo Jang, Jihye Yun, Namkug Kim, Hee Jun Park, and others

    Korean journal of radiology, vol. 24, no. 8, pp. 807, 2023

    Bib

    @article{bispl2023hwang,
      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 Ye, Jong Chul 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},
    }

19. [J154] Deep learning-enabled detection of pneumoperitoneum in supine and erect abdominal radiography: modeling using transfer learning and semi-supervised learning

    Sangjoon Park, Jong Chul Ye, Eun Sun Lee, Gyeongme Cho, Jin Woo Yoon, Joo Hyeok Choi, Ijin Joo, and Yoon Jin Lee

    Korean Journal of Radiology, vol. 24, no. 6, pp. 541, 2023

    Bib

    @article{bispl2023park,
      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 Ye, Jong Chul 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},
    }

20. [J153] Diagnosis of coronary layered plaque by deep learning

    Makoto Araki, Sangjoon Park, Akihiro Nakajima, Hang Lee, Jong Chul Ye, and Ik-Kyung Jang

    Scientific Reports, vol. 13, no. 1, pp. 2432, 2023

    Bib

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

21. [J152] Task-Agnostic Vision Transformer for Distributed Learning of Image Processing

    B. Kim, J. Kim, and Jong Chul Ye

    IEEE Transactions on Image Processing, vol. 32, pp. 203–218, 2023

    Bib

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

22. [J151] MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion

    H. Chung, E. S. Lee, and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 42, no. 4, pp. 922–934, Apr 2023

    arXiv Bib

    @article{chung2023mr,
      author = {Chung, H. and Lee, E. S. and Ye, Jong Chul},
      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 = apr,
      year = {2023},
    }

23. [J150] Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data

    Chanseok Lee, Gookho Song, Hyeonggeon Kim, Jong Chul Ye, and Mooseok Jang

    Nature Machine Intelligence, vol. 5, no. 1, pp. 35–45, 2023

    Bib

    @article{lee2023x,
      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 Ye, Jong Chul and Jang, Mooseok},
      journal = {Nature Machine Intelligence},
      volume = {5},
      number = {1},
      pages = {35--45},
      year = {2023},
    }

24. [J149] Wavelet Subband Discriminator for Efficient UnsupervisedChest X-ray Image Restoration

    Joonyoung Song and Jong Chul Ye

    Medical Physics, vol. 50, no. 4, pp. 2263–2278, Apr 2023

    Bib

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

25. [J148] Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation

    S. Park and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 42, no. 7, pp. 2091–2105, Jul 2023

    arXiv Bib

    @article{ye2023multitas,
      author = {Park, S. and Ye, Jong Chul},
      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 = jul,
      year = {2023},
    }

26. [J147] Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN

    Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Jeong Eun Lee, Eun Sun Lee, and Jong Chul Ye

    Medical Image Analysis, vol. 83, pp. 102651, Jan 2023

    arXiv Bib

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

27. [J146] Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications

    Z. Zhao, Jong Chul Ye, and Y. Bresler

    IEEE Signal Processing Magazine, vol. 40, no. 1, pp. 148–163, Jan 2023

    Bib

    @article{zhao2023generati,
      author = {Zhao, Z. and Ye, Jong Chul and Bresler, Y.},
      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 = jan,
      year = {2023},
    }

2022

1. [B1] Geometry of Deep Learning: A Signal Processing Perspective

   Jong Chul Ye

   Springer, Mathematics in Industry, ISBN 978-981-16-6045-0, 2022

   DOI Bib

   @book{ye2022geometry,
     author = {Ye, Jong Chul},
     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},
   }

2. [C26] Progressive deblurring of diffusion models for coarse-to-fine image synthesis

   Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, and Jong Chul Ye

   In NeurIPS 2022 Workshop on Score-Based Methods, 2022

   arXiv Bib

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

3. [C25] Energy-Based Contrastive Learning of Visual Representations

   Beomsu Kim and Jong Chul Ye

   In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022

   arXiv Bib

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

4. [C24] Improving Diffusion Models for Inverse Problems using Manifold Constraints

   Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, and Jong Chul Ye

   In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022

   arXiv Bib

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

5. [C23] CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillation

   Yujin Oh and Jong Chul Ye

   In European Conference on Computer Vision ( ECCV ), 2022, 2022

   arXiv Bib

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

6. [C22] DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Models

   Boah Kim, Inhwa Han, and Jong Chul Ye

   In European Conference on Computer Vision ( ECCV ), 2022

   arXiv Bib

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

7. [C21] Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising

   Chanyong Jung, Joonhyung Lee, Sun Kyoung You, and Jong Chul Ye

   In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022

   arXiv Bib

   @inproceedings{jung2022patchwis,
     author = {Jung, Chanyong and Lee, Joonhyung and You, Sun Kyoung and Ye, Jong Chul},
     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},
   }

8. [C20] Diffusion deformable model for 4D temporal medical image generation

   Boah Kim and Jong Chul Ye

   In the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022

   arXiv Bib

   @inproceedings{ye2022diffusio,
     author = {Kim, Boah and Ye, Jong Chul},
     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},
   }

9. [C19] Diffusion CLIP : Text-guided image manipulation using diffusion models

   Gwanghyun Kim and Jong Chul Ye

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022

   Bib

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

10. [C18] Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

    Chanyong Jung, Gihyun Kwon, and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022

    arXiv Bib

    @inproceedings{jung2022explorin,
      author = {Jung, Chanyong and Kwon, Gihyun and Ye, Jong Chul},
      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},
    }

11. [C17] C LIP styler: Image style transfer with a single text condition

    Gihyun Kwon and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022

    Bib

    @inproceedings{kwon2022c,
      author = {Kwon, Gihyun and Ye, Jong Chul},
      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},
    }

12. [C16] Noise d istribution a daptive s elf- s upervised i mage d enoising using Tweedie d istribution and s core m atching

    Kwanyoung Kim, Taesung Kwon, and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022

    Bib

    @inproceedings{kim2022noise,
      author = {Kim, Kwanyoung and Kwon, Taesung and Ye, Jong Chul},
      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},
    }

13. [C15] Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

    Hyungjin Chung, Byeongsu Sim, and Jong Chul Ye

    In IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022

    arXiv Bib

    @inproceedings{chung2022comeclos,
      author = {Chung, Hyungjin and Sim, Byeongsu and Ye, Jong Chul},
      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},
    }

14. [J145] Performance Analysis of Fractional Learning Algorithms

    A. Wahab, S. Khan, I. Naseem, and Jong Chul Ye

    IEEE Transactions on Signal Processing, vol. 70, pp. 5164–5177, 2022

    arXiv Bib

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

15. [J144] Multi-domain CT translation by a routable translation network

    Hyunjong Kim, Gyutaek Oh, Joon Beom Seo, Hye Jeon Hwang, Sang Min Lee, Jihye Yun, and Jong Chul Ye

    Physics in Medicine & Biology, vol. 67, no. 21, pp. 215002, 2022

    Bib

    @article{bispl2022kim,
      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 Ye, Jong Chul},
      journal = {Physics in Medicine \& Biology},
      volume = {67},
      number = {21},
      pages = {215002},
      year = {2022},
    }

16. [J143] Enhanced diagnosis of plaque erosion by deep learning in patients with acute coronary syndromes

    Sangjoon Park, Makoto Araki, Akihiro Nakajima, Hang Lee, Valentin Fuster, Jong Chul Ye, and Ik-Kyung Jang

    JACC: Cardiovascular Interventions, vol. 15, no. 20, pp. 2020–2031, Oct 2022

    DOI Bib

    @article{park2022enhanced,
      author = {Park, Sangjoon and Araki, Makoto and Nakajima, Akihiro and Lee, Hang and Fuster, Valentin and Ye, Jong Chul and Jang, Ik-Kyung},
      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 = oct,
      doi = {10.1016/j.jcin.2022.08.040},
      year = {2022},
    }

17. [J142] Low-dose sparse-view HAADF-STEM-EDX tomography of nanocrystals using unsupervised deep learning

    Eunju Cha, Hyungjin Chung, Jaeduck Jang, Junho Lee, Eunha Lee, and Jong Chul Ye

    ACS Nano, vol. 16, no. 7, pp. 10314–10326, Jun 2022

    DOI Bib

    @article{cha2022lowdose,
      author = {Cha, Eunju and Chung, Hyungjin and Jang, Jaeduck and Lee, Junho and Lee, Eunha and Ye, Jong Chul},
      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 = jun,
      doi = {10.1021/acsnano.2c00168},
      year = {2022},
    }

18. [J141] Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

    Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Chang Min Park, and Jong Chul Ye

    Nature communications, vol. 13, no. 1, pp. 3848, 2022

    Bib

    @article{park2022x,
      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 Ye, Jong Chul},
      journal = {Nature communications},
      volume = {13},
      number = {1},
      pages = {3848},
      year = {2022},
    }

19. [J140] Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy

    Hyoungjun Park, Myeongsu Na, Bumju Kim, Soohyun Park, Ki Hean Kim, Sunghoe Chang, and Jong Chul Ye

    Nature Communications, vol. 13, no. 1, pp. 3297, 2022

    arXiv Bib

    @article{park2022x2,
      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 Ye, Jong Chul},
      journal = {Nature Communications},
      volume = {13},
      number = {1},
      pages = {3297},
      year = {2022},
    }

20. [J139] Score-based diffusion models for accelerated MRI

    Hyungjin Chung and Jong Chul Ye

    Medical Image Analysis, vol. 80, pp. 102479, Aug 2022

    DOI arXiv Bib

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

21. [J138] Unsupervised Resolution-Agnostic Quantitative Susceptibility Mapping using Adaptive Instance Normalization

    Gyutaek Oh, Hyokyoung Bae, Hyun-Seo Ahn, Sung-Hong Park, Won Jin Moon, and Jong Chul Ye

    Medical Image Analysis, vol. 79, pp. 102477, Jul 2022

    DOI Bib

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

22. [J137] Medical ultrasound image speckle reduction and resolution enhancement using texture compensated multi-resolution convolution neural network

    M. Moinuddin, S. Khan, A. U. Alsaggaf, M. J. Abdulaal, U. M. Al-Saggaf, and Jong Chul Ye

    Frontiers in Physiology, 2022

    Bib

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

23. [J136] Optical coherence tomography in coronary atherosclerosis assessment and intervention

    Makoto Araki, Seung-Jung Park, Harold L Dauerman, Shiro Uemura, Jung-Sun Kim, Carlo Di Mario, Thomas W Johnson, Giulio Guagliumi, Adnan Kastrati, Michael Joner, and others

    Nature Reviews Cardiology, vol. 19, no. 10, pp. 684–703, 2022

    Bib

    @article{araki2022x,
      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},
    }

24. [J135] Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

    M. Akçakaya, B. Yaman, H. Chung, and Jong Chul Ye

    IEEE Signal Processing Magazine, vol. 39, no. 2, pp. 28–44, Mar 2022

    DOI Bib

    @article{akakaya1927unsuperv,
      author = {Akçakaya, M. and Yaman, B. and Chung, H. and Ye, Jong Chul},
      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 = mar,
      doi = {10.1109/MSP.2021.3119273},
      year = {2022},
    }

25. [J132] Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound

    S. Khan, J. Huh, and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 41, no. 2, pp. 266–278, Feb 2022

    DOI Bib

    @article{khan2021switchab,
      author = {Khan, S. and Huh, J. and Ye, Jong Chul},
      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 = feb,
      doi = {10.1109/TMI.2021.3110730},
      year = {2022},
    }

26. [J131] Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison

    Joon Yeul Nam, Hyung Jin Chung, Kyu Sung Choi, Hyuk Lee, Tae Jun Kim, Hosim Soh, Eun Ae Kang, Soo-Jeong Cho, Jong Chul Ye, Jong Pil Im, and others

    Gastrointestinal endoscopy, vol. 95, no. 2, pp. 258–268, 2022

    Bib

    @article{bispl2021nam,
      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 Ye, Jong Chul and Im, Jong Pil and others},
      journal = {Gastrointestinal endoscopy},
      volume = {95},
      number = {2},
      pages = {258--268},
      year = {2022},
      publisher = {Elsevier},
    }

27. [J134] Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification

    Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Se, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, and Jong Chul Ye

    Medical Image Analysis, vol. 75, pp. 102299, Jan 2022

    DOI Bib

    @article{park2022multitas,
      author = {Park, Sangjoon and Kim, Gwanghyun and Oh, Yujin and Se, Joon Beom and Lee, Sang Min and Kim, Jin Hwan and Moon, Sungjun and Lim, Jae-Kwang and Ye, Jong Chul},
      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 = jan,
      doi = {10.1016/j.media.2021.102299},
      year = {2022},
    }

28. [J133] DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval

    Eunju Cha, Chanseok Lee, Mooseok Jang, and Jong Chul Ye

    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, pp. 9931–9943, Dec 2022

    DOI arXiv Bib

    @article{cha2022deepphas,
      author = {Cha, Eunju and Lee, Chanseok and Jang, Mooseok and Ye, Jong Chul},
      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 = dec,
      doi = {10.1109/tpami.2021.3138897},
      year = {2022},
    }

2021

1. [C14] Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images

   Kwanyoung Kim and Jong Chul Ye

   In Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) , Virtual, December, 2021

   arXiv Bib

   @inproceedings{kim2021noise2sc,
     author = {Kim, Kwanyoung and Ye, Jong Chul},
     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},
   }

2. [C13] Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis

   Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, and Jong Chul Ye

   In Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) , Virtual, December 2021. (*co-first authors), 2021

   Bib

   @inproceedings{park2021federate,
     author = {Park, Sangjoon and Kim, Gwanghyun and Kim, Jeongsol and Kim, Boah and Ye, Jong Chul},
     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},
   }

3. [C12] Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention

   Byung-Hoon Kim, Jong Chul Ye, and Jae-Jin Kim

   In Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) , Virtual, December, 2021

   arXiv Bib

   @inproceedings{kim2021learning,
     author = {Kim, Byung-Hoon and Ye, Jong Chul and Kim, Jae-Jin},
     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},
   }

4. [C11] Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation

   Kwon Gihyun and Jong Chul Ye

   In IEEE/CVF International Conference on Computer Vision (ICCV), 2021

   arXiv Bib

   @inproceedings{gihyun2021diagonal,
     author = {Gihyun, Kwon and Ye, Jong Chul},
     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},
   }

5. [J130] Plaque Erosion: Pathobiology, Diagnosis, and Clinical Implications

   Dhaval Kolte, Taishi Yonetsu, Jong Chul Ye, Peter Libby, Valentin Fuster, and Ik-Kyoung Jang

   Journal of the American College of Cardiology, 2021

   Bib

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

6. [J129] Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising

   T. Kwon and Jong Chul Ye

   IEEE Transactions on Computational Imaging, vol. 7, pp. 1354–1368, 2021

   DOI arXiv Bib

   @article{ye2021cyclefre,
     author = {Kwon, T. and Ye, Jong Chul},
     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},
   }

7. [J128] Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN

   H. Chung and Jong Chul Ye

   Nature Machine Intelligence, vol. 3, no. 10, pp. 861–863, 2021

   DOI Bib

   @article{chung2021reusabil,
     author = {Chung, H. and Ye, Jong Chul},
     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},
   }

8. [J127] CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement

   Jawook Gu, Tae Seong Yang, Jong Chul Ye, and Dong Hyun Yang

   Medical Image Analysis, vol. 74, pp. 102209, 2021

   DOI Bib

   @article{gu2021cyclegan,
     author = {Gu, Jawook and Yang, Tae Seong and Ye, Jong Chul and Yang, Dong Hyun},
     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},
   }

9. [J126] Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN

   J. Lee, J. Gu, and Jong Chul Ye

   IEEE Transactions on Medical Imaging, vol. 40, no. 12, pp. 3932–3944, Dec 2021

   DOI arXiv Bib

   @article{lee2021unsuperv,
     author = {Lee, J. and Gu, J. and Ye, Jong Chul},
     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 = dec,
     doi = {10.1109/TMI.2021.3101363},
     year = {2021},
   }

10. [J125] Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain

    H. Chung, J. Huh, G. Kim, Y. K. Park, and Jong Chul Ye

    IEEE Transactions on Computational Imaging, vol. 7, pp. 747–758, 2021

    DOI Bib

    @article{chung2021missing,
      author = {Chung, H. and Huh, J. and Kim, G. and Park, Y. K. and Ye, Jong Chul},
      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},
    }

11. [J124] Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation

    G. Oh, J. E. Lee, and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 40, no. 11, pp. 3125–3139, Nov 2021

    DOI Bib

    @article{oh2021unpaired,
      author = {Oh, G. and Lee, J. E. and Ye, Jong Chul},
      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 = nov,
      doi = {10.1109/TMI.2021.3089708},
      year = {2021},
    }

12. [J123] Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN

    S. Yang, E. Y. Kim, and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 40, no. 11, pp. 3015–3029, Nov 2021

    DOI arXiv Bib

    @article{yang2021continuo,
      author = {Yang, S. and Kim, E. Y. and Ye, Jong Chul},
      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 = nov,
      doi = {10.1109/TMI.2021.3077615},
      year = {2021},
    }

13. [J122] Deep learning–based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study

    Y. Kim, D. Y. Oh, W. Chang, and others

    European Radiology, vol. 31, no. 11, pp. 8755–8764, 2021

    DOI Bib

    @article{kim2021deep,
      author = {Kim, Y. and Oh, D. Y. and Chang, W. 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},
    }

14. [J121] Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data

    Hyungjin Chung, Eunju Cha, Leonard Sunwoo, and Jong Chul Ye

    Medical Image Analysis, vol. 71, pp. 102047, 2021

    DOI arXiv Bib

    @article{chung2021twostage,
      author = {Chung, Hyungjin and Cha, Eunju and Sunwoo, Leonard and Ye, Jong Chul},
      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},
    }

15. [J120] Unsupervised Denoising for Satellite Imagery using Wavelet Directional CycleGAN

    Joonyoung Song, Jae-Heon Jeong, Dae-Soon Park, Hyun-Ho Kim, Doo-Chun Seo, and Jong Chul Ye

    IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 8, pp. 6823–6839, Aug 2021

    Bib

    @article{song2021unsuperv,
      author = {Song, Joonyoung and Jeong, Jae-Heon and Park, Dae-Soon and Kim, Hyun-Ho and Seo, Doo-Chun and Ye, Jong Chul},
      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 = aug,
      year = {2021},
    }

16. [J119] CycleMorph: Cycle consistent unsupervised deformable image registration

    Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, and Jong Chul Ye

    Medical Image Analysis, vol. 71, no. 10, Jul 2021

    arXiv Bib

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

17. [J118] Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal

    S. Khan, J. Huh, and Jong Chul Ye

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 68, no. 6, pp. 2086–2100, Jun 2021

    Bib

    @article{khan2021variatio,
      author = {Khan, S. and Huh, J. and Ye, Jong Chul},
      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 = jun,
      year = {2021},
    }

18. [J117] DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging using Deep Learning

    D. Ryu, D. Ryu, Y. Baek, H. Cho, G. Kim, Y. S. Kim, Y. Lee, Y. Kim, Jong Chul Ye, H. S. Min, and Y. Park

    IEEE Transactions on Medical Imaging, vol. 40, no. 5, pp. 1508–1518, May 2021

    arXiv Bib

    @article{ryu2021deepregu,
      author = {Ryu, D. and Ryu, D. and Baek, Y. and Cho, H. and Kim, G. and Kim, Y. S. and Lee, Y. and Kim, Y. and Ye, Jong Chul and Min, H. S. and Park, Y.},
      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},
    }

19. [J116] AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising

    J. Gu and Jong Chul Ye

    IEEE Transactions on Computational Imaging, vol. 7, pp. 73–85, 2021

    DOI Bib

    @article{ye2021adainbas,
      author = {Gu, J. and Ye, Jong Chul},
      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},
    }

20. [J115] Deep learning STEM-EDX tomography of nanocrystals

    Yoseob Han, Jaeduck Jang, Eunju Cha, Junho Lee, Hyungjin Chung, Myoungho Jeong, Tae-Gon Kim, Byeong Gyu Chae, Hee Goo Kim, Shinae Jun, Sungwoo Hwang, Eunha Lee, and Jong Chul Ye

    Nature Machine Intelligence, vol. 3, no. 3, pp. 267–274, Feb 2021

    DOI Bib

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

21. [J114] Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution

    Eunju Cha, Hyungjin Chung, Eung Yeop Kim, and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 40, no. 1, pp. 166–179, Jan 2021

    Bib

    @article{cha2021unpaired,
      author = {Cha, Eunju and Chung, Hyungjin and Kim, Eung Yeop and Ye, Jong Chul},
      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 = jan,
      year = {2021},
    }

2020

1. [C10] AIM 2020 challenge on learned image signal processing pipeline

   Andrey Ignatov and others

   In European Conference on Computer Vision . Springer, Cham, 2020

   arXiv Bib

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

2. [C9] Pynet-ca: enhanced pynet with channel attention for end-to-end mobile image signal processing

   Byung-Hoon Kim and others

   In European Conference on Computer Vision . Springer, Cham, 2020

   arXiv Bib

   @inproceedings{kim2020pynetca,
     author = {Kim, Byung-Hoon 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},
   }

3. [C8] NTIRE 2020 challenge on perceptual extreme super-resolution: Methods and results

   Kai Zhang and others

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020

   arXiv Bib

   @inproceedings{zhang2020ntire,
     author = {Zhang, Kai 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},
   }

4. [J113] Deep learning for tomographic image reconstruction

   Ge Wang, Jong Chul Ye, and Bruno De Man

   Nature Machine Intelligence, vol. 2, no. 12, pp. 737–748, Dec 2020

   DOI Bib

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

5. [J112] Optimal transport driven CycleGAN for unsupervised learning in inverse problems

   Byeongsu Sim, Gyutaek Oh, Jeongsol Kim, Chanyong Jung, and Jong Chul Ye

   SIAM Journal on Imaging Sciences, vol. 13, no. 4, pp. 2281–2306, 2020

   arXiv Bib

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

6. [J111] Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal

   Y. Han, J. Kim, and Jong Chul Ye

   IEEE Transactions on Medical Imaging, vol. 39, no. 11, pp. 3571–3582, Nov 2020

   DOI arXiv Bib

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

7. [J110] Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction

   E. Cha, G. Oh, and Jong Chul Ye

   IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 6, pp. 1292–1305, Oct 2020

   DOI arXiv Bib

   @article{cha2020geometri,
     author = {Cha, E. and Oh, G. and Ye, Jong Chul},
     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 = oct,
     doi = {10.1109/JSTSP.2020.2982777},
     year = {2020},
   }

8. [J109] Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN

   Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, and Jong Chul Ye

   IEEE Transactions on Computational Imaging, vol. 6, pp. 1285–1296, Aug 2020

   arXiv Bib

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

9. [J108] Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection

   Eun Young Chae, Hak Hee Kim, Sohail Sabir, Yejin Kim, Hyeongseok Kim, Sungho Yoon, Jong Chul Ye, Seungryong Cho, Duchang Heo, Kee Hyun Kim, Young Min Bae, and Young-Wook Choi

   Scientific Reports, vol. 10, no. 1, pp. 13127, Aug 2020

   DOI Bib

   @article{chae2020developm,
     author = {Chae, Eun Young and Kim, Hak Hee and Sabir, Sohail and Kim, Yejin and Kim, Hyeongseok and Yoon, Sungho and Ye, Jong Chul and Cho, Seungryong and Heo, Duchang and Kim, Kee Hyun and Bae, Young Min and Choi, Young-Wook},
     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 = aug,
     doi = {10.1038/s41598-020-70103-0},
     year = {2020},
   }

10. [J107] Improving the reliability of pharmacokinetic parameters in dynamic contrast-enhanced MRI in astrocytomas: Deep learning approach

    Kyu Sung Choi, Sung-Hye You, Yoseob Han, Jong Chul Ye, Bumseok Jeong, and Seung Hong Choi

    Radiology, vol. 297, no. 1, pp. 178–188, Aug 2020

    DOI Bib

    @article{choi2020improvin,
      author = {Choi, Kyu Sung and You, Sung-Hye and Han, Yoseob and Ye, Jong Chul and Jeong, Bumseok and Choi, Seung Hong},
      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 = aug,
      doi = {10.1148/radiol.2020192763},
      year = {2020},
    }

11. [J106] Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

    Yujin Oh, Sangjoon Park, and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 39, no. 8, pp. 2688–2700, Aug 2020

    DOI arXiv Bib

    @article{oh2020deep,
      author = {Oh, Yujin and Park, Sangjoon and Ye, Jong Chul},
      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 = aug,
      doi = {10.1109/TMI.2020.2993291},
      year = {2020},
    }

12. [J105] CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry

    Sungjun Lim, Hyoungjun Park, Sang-Eun Lee, Sunghoe Chang, Byeongsu Sim, and Jong Chul Ye

    IEEE Transactions on Computational Imaging, vol. 6, pp. 1127–1138, Jul 2020

    DOI arXiv Bib

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

13. [J104] Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

    Byung-Hoon Kim and Jong Chul Ye

    Frontiers in Neuroscience, Jun 2020

    DOI arXiv Bib

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

14. [J103] Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images

    Mi-Sun Kang, Eunju Cha, Eunhee Kang, Jong Chul Ye, Nam-Gu Her, Jeong-Woo Oh, Do-Hyun Nam, Myoung-Hee Kim, and Sejung Yang

    Biomedical Signal Processing and Control, vol. 58, pp. 101846, Apr 2020

    DOI Bib

    @article{bispl2020misun,
      author = {Kang, Mi-Sun and Cha, Eunju and Kang, Eunhee and Ye, Jong Chul and Her, Nam-Gu and Oh, Jeong-Woo and Nam, Do-Hyun and Kim, Myoung-Hee and Yang, Sejung},
      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 = apr,
      doi = {10.1016/j.bspc.2020.101846},
      year = {2020},
    }

15. [J102] Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound

    Shujaat Khan, Jaeyoung Huh, and Jong Chul Ye

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 67, no. 8, pp. 1558–1572, Mar 2020

    arXiv Bib

    @article{khan2020adaptive,
      author = {Khan, Shujaat and Huh, Jaeyoung and Ye, Jong Chul},
      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 = mar,
      year = {2020},
    }

16. [J101] 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

    Yoon Joo Shin, Won Chang, Jong Chul Ye, Eunhee Kang, Dong Yul Oh, Yoon Jin Lee, Ji Hoon Park, and Young Hoon Kim

    Korean Journal of Radiology, vol. 21, pp. e15, Mar 2020

    Bib

    @article{shin2020lowdose,
      author = {Shin, Yoon Joo and Chang, Won and Ye, Jong Chul and Kang, Eunhee and Oh, Dong Yul and Lee, Yoon Jin and Park, Ji Hoon and Kim, Young Hoon},
      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 = mar,
      year = {2020},
    }

17. [J100] Reconstruction of Multi-contrast MR Images through Deep Learning

    Won‐Joon Do, Sunghun Seo, Yoseob Han, Jong Chul Ye, Seung Hong Choi, and Sung‐Hong Park

    Medical Physics, vol. 47, no. 3, pp. 983–997, Mar 2020

    Bib

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

18. [J99] Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach

    Hyun-Seo Ahn, Sung-Hong Park, and Jong Chul Ye

    Magnetic Resonance in Medicine, vol. 83, no. 3, pp. 858–871, Mar 2020

    DOI arXiv Bib

    @article{ahn2020quantita,
      author = {Ahn, Hyun-Seo and Park, Sung-Hong and Ye, Jong Chul},
      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 = mar,
      doi = {10.1002/mrm.27976},
      year = {2020},
    }

19. [J98] k-Space Deep Learning for Accelerated MRI

    Yoseob Han, Leonard Sunwoo, and Jong Chul Ye

    IEEE Transactions on Medical Imaging, vol. 39, no. 2, pp. 377–386, Feb 2020

    DOI arXiv Bib

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

20. [J97] Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks

    Donwook Lee, Won-Jin Moon, and Jong Chul Ye

    Nature Machine Intelligence, vol. 2, no. 1, pp. 34–42, Jan 2020

    DOI Bib

    @article{lee2020assessin,
      author = {Lee, Donwook and Moon, Won-Jin and Ye, Jong Chul},
      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 = jan,
      doi = {10.1038/s42256-019-0137-x},
      year = {2020},
    }

21. [J96] Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning

    Mathews Jacob, Merry P. Mani, and Jong Chul Ye

    IEEE Signal Processing Magazine, vol. 37, no. 1, pp. 54–68, Jan 2020

    arXiv Bib

    @article{jacob2020structur,
      author = {Jacob, Mathews and Mani, Merry P. and Ye, Jong Chul},
      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 = jan,
      year = {2020},
    }

22. [J95] Mumford–Shah Loss Functional for Image Segmentation With Deep Learning

    B. Kim and Jong Chul Ye

    IEEE Transactions on Image Processing, vol. 29, pp. 1856–1866, 2020

    DOI arXiv Bib

    @article{ye2019mumfords,
      author = {Kim, B. and Ye, Jong Chul},
      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},
    }

23. [J94] Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning

    S. Ravishankar, Jong Chul Ye, and J. A. Fessler

    Proceedings of the IEEE, vol. 108, no. 1, pp. 86–109, Jan 2020

    DOI arXiv Bib

    @article{ravishankar2019image,
      author = {Ravishankar, S. and Ye, Jong Chul and Fessler, J. A.},
      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 = jan,
      doi = {10.1109/JPROC.2019.2936204},
      year = {2020},
    }