| CycleMorph: Cycle consistent unsupervised deformable image registration B Kim, DH Kim, SH Park, J Kim, JG Lee, JC Ye Medical Image Analysis 71, 102036, 2021 | 175 | 2021 |
| Mumford–Shah loss functional for image segmentation with deep learning B Kim, JC Ye IEEE Transactions on Image Processing 29, 1856-1866, 2019 | 134 | 2019 |
| Unsupervised deformable image registration using cycle-consistent CNN B Kim, J Kim, JG Lee, DH Kim, SH Park, JC Ye International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 84 | 2019 |
| Federated split task-agnostic vision transformer for COVID-19 CXR diagnosis S Park, G Kim, J Kim, B Kim, JC Ye Advances in Neural Information Processing Systems 34, 24617-24630, 2021 | 71* | 2021 |
| Diffusion deformable model for 4D temporal medical image generation B Kim, JC Ye International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 55 | 2022 |
| Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation B Kim, Y Oh, JC Ye International Conference on Learning Representations (ICLR), 2023 | 52 | 2023 |
| DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model B Kim, I Han, JC Ye Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 50* | 2022 |
| Cycle-consistent adversarial network with polyphase U-Nets for liver lesion segmentation B Kim, JC Ye | 14 | 2018 |
| Task-Agnostic Vision Transformer for Distributed Learning of Image Processing B Kim, J Kim, JC Ye IEEE Transactions on Image Processing 32, 203-218, 2022 | 6 | 2022 |
| Unsupervised Deformable Image Registration Using Polyphase UNet for 3D Brain MRI Volumes AD Martin, B Kim, JC Ye Investigative Magnetic Resonance Imaging 24 (4), 223-231, 2020 | 3 | 2020 |
| Semantic Image Synthesis for Abdominal CT Y Zhuang, B Hou, TS Mathai, P Mukherjee, B Kim, RM Summers International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks K Helm, TS Mathai, B Kim, P Mukherjee, J Liu, RM Summers arXiv preprint arXiv:2402.08098, 2024 | 1 | 2024 |
| C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation B Kim, Y Oh, BJ Wood, RM Summers, JC Ye Medical Image Analysis 91, 103022, 2024 | 1 | 2024 |
| Automated classification of multi-parametric body MRI series B Kim, TS Mathai, K Helm, RM Summers arXiv preprint arXiv:2405.08247, 2024 | | 2024 |
| End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography J Oh, B Kim, G Oh, Y Hwangbo, JC Ye Endocrinology and Metabolism (Seoul, Korea), 2024 | | 2024 |
| MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI Y Zhuang, TS Mathai, P Mukherjee, B Khoury, B Kim, B Hou, N Rabbee, ... arXiv preprint arXiv:2405.05944, 2024 | | 2024 |
| Unsupervised multi-parametric MRI registration using neural optimal transport B Kim, TS Mathai, RM Summers Medical Imaging 2024: Computer-Aided Diagnosis 12927, 187-192, 2024 | | 2024 |
| Multi-Organ Segmentation in Abdominal MRI using CT-to-MR Synthesis Y Zhuang, B Kim, TS Mathai, P Mukherjee, B Khoury, R Summers Medical Imaging with Deep Learning, 2024 | | 2024 |
| Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization I Han, B Kim, EY Kim, JC Ye 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | | 2022 |
Jong Chul YeProfessor and Endowed Chair, KAIST在 kaist.ac.kr 的电子邮件经过验证
