| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 970 | 2017 |
| Framing U-Net via deep convolutional framelets: Application to sparse-view CT Y Han, JC Ye IEEE transactions on medical imaging 37 (6), 1418-1429, 2018 | 496* | 2018 |
| Deep convolutional framelets: A general deep learning framework for inverse problems JC Ye, Y Han, E Cha SIAM Journal on Imaging Sciences 11 (2), 991-1048, 2018 | 270 | 2018 |
| Deep learning with domain adaptation for accelerated projection‐reconstruction MR Y Han, J Yoo, HH Kim, HJ Shin, K Sung, JC Ye Magnetic resonance in medicine 80 (3), 1189-1205, 2018 | 237 | 2018 |
| -Space Deep Learning for Accelerated MRI Y Han, L Sunwoo, JC Ye IEEE transactions on medical imaging 39 (2), 377-386, 2019 | 169 | 2019 |
| One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection Y Han, JC Ye Medical physics 46 (12), e855-e872, 2019 | 21 | 2019 |
| Reconstruction of multicontrast MR images through deep learning WJ Do, S Seo, Y Han, JC Ye, SH Choi, SH Park Medical Physics 47 (3), 983-997, 2020 | 19 | 2020 |
| Deep learning interior tomography for region-of-interest reconstruction Y Han, J Gu, JC Ye arXiv preprint arXiv:1712.10248, 2017 | 19 | 2017 |
| Interior tomography using 1D generalized total variation. Part II: Multiscale implementation M Lee, Y Han, JP Ward, M Unser, JC Ye SIAM Journal on Imaging Sciences 8 (4), 2452-2486, 2015 | 18 | 2015 |
| Deep residual learning approach for sparse-view CT reconstruction Y Han, JC Ye Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2017 | 15 | 2017 |
| Compressive dynamic aperture b-mode ultrasound imaging using annihilating filter-based low-rank interpolation KH Jin, YS Han, JC Ye 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1009-1012, 2016 | 15 | 2016 |
| k‐Space deep learning for reference‐free EPI ghost correction J Lee, Y Han, JK Ryu, JY Park, JC Ye Magnetic Resonance in Medicine 82 (6), 2299-2313, 2019 | 12 | 2019 |
| Deep learning STEM-EDX tomography of nanocrystals Y Han, J Jang, E Cha, J Lee, H Chung, M Jeong, TG Kim, BG Chae, ... Nature Machine Intelligence 3 (3), 267-274, 2021 | 10 | 2021 |
| Deep learning reconstruction for 9-view dual energy CT baggage scanner Y Han, J Kang, JC Ye arXiv preprint arXiv:1801.01258, 2018 | 9 | 2018 |
| Differentiated backprojection domain deep learning for conebeam artifact removal Y Han, J Kim, JC Ye IEEE Transactions on Medical Imaging 39 (11), 3571-3582, 2020 | 8 | 2020 |
| 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-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach YS Han, KH Jin, K Kim, JC Ye 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 573-576, 2016 | 7 | 2016 |
| Improving the reliability of pharmacokinetic parameters at dynamic contrast-enhanced MRI in astrocytomas: a deep learning approach KS Choi, SH You, Y Han, JC Ye, B Jeong, SH Choi Radiology 297 (1), 178-188, 2020 | 5 | 2020 |
| Uncertainties in Density and Simulation Parameters for Radiographic Reconstructions Using Machine Learning ML Klasky, BT Nadiga, JLS Disterhaupt, T Wilcox, LD Hovey, T Mockler, ... Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2020 | 1 | 2020 |
| X-ray imaging apparatus and control method for the same KY Jeong, J hak Lee, YH Sung, JC Ye, MJ Lee, YS Han US Patent 9,861,333, 2018 | 1 | 2018 |
Jong Chul YeProfessor and Endowed Chair, KAISTkaist.ac.kr의 이메일 확인됨
