Deep residual learning for accelerated MRI using magnitude and phase networks D Lee, J Yoo, S Tak, JC Ye IEEE Transactions on Biomedical Engineering 65 (9), 1985-1995, 2018 | 343 | 2018 |
A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix KH Jin, D Lee, JC Ye IEEE Transactions on Computational Imaging 2 (4), 480-495, 2016 | 284 | 2016 |
CollaGAN: Collaborative GAN for missing image data imputation D Lee, J Kim, WJ Moon, JC Ye Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 176 | 2019 |
Acceleration of MR parameter mapping using annihilating filter‐based low rank hankel matrix (ALOHA) D Lee, KH Jin, EY Kim, SH Park, JC Ye Magnetic resonance in medicine 76 (6), 1848-1864, 2016 | 131 | 2016 |
Deep artifact learning for compressed sensing and parallel MRI D Lee, J Yoo, JC Ye arXiv preprint arXiv:1703.01120, 2017 | 60 | 2017 |
MRI artifact correction using sparse+ low‐rank decomposition of annihilating filter‐based hankel matrix KH Jin, JY Um, D Lee, J Lee, SH Park, JC Ye Magnetic resonance in medicine 78 (1), 327-340, 2017 | 57 | 2017 |
Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks D Lee, WJ Moon, JC Ye Nature Machine Intelligence 2 (1), 34-42, 2020 | 47 | 2020 |
The tenth visual object tracking vot2022 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 431-460, 2022 | 41 | 2022 |
A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI KH Jin, D Lee, JC Ye 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 327-330, 2015 | 20 | 2015 |
Compressed sensing and parallel MRI using deep residual learning D Lee, J Yoo, JC Ye The International Society for Magnetic Resonance in Medicine, 2017 | 15 | 2017 |
RaScaNet: learning tiny models by raster-scanning images J Yoo, D Lee, C Son, S Jung, BI Yoo, C Choi, JJ Han, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 13 | 2021 |
Which contrast does matter? towards a deep understanding of mr contrast using collaborative gan D Lee, WJ Moon, JC Ye arXiv preprint arXiv:1905.04105, 2019 | 11 | 2019 |
Accelerated projection reconstruction MR imaging using deep residual learning YS Han, D Lee, J Yoo, JC Ye International Society for Magnetic Resonance in Medicine, 2017 | 7 | 2017 |
Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix KH Jin, J Lee, D Lee, JC Ye 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1388-1391, 2016 | 3 | 2016 |
T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty D Lee, EY Kim, H Yoon, S Park, JC Ye 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 645-648, 2014 | 2 | 2014 |
BackTrack: Robust template update via Backward Tracking of candidate template D Lee, W Choi, S Lee, BI Yoo, E Yang, S Hwang arXiv preprint arXiv:2308.10604, 2023 | 1 | 2023 |
Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation KH Jin, D Lee, J Lee, JC Ye 2016 IEEE International Conference on Image Processing (ICIP), 968-972, 2016 | 1 | 2016 |
Multiband dynamic compressed sensing H Yoon, D Lee, J Lee, SH Choi, SH Park, JC Ye 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 922-925, 2015 | 1 | 2015 |
Efficient Learning on Successive Test Time Augmentation S Pan, J Yu, D Lee, Y Chen, C Zhang, Q Wang, BI Yoo ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Method and device with cascaded iterative processing of data YU Jiaqian, Y Chen, Y Yang, BI Yoo, P Changbeom, D Lee, Q Wang, ... US Patent App. 18/466,139, 2024 | | 2024 |