| 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 | 2246 | 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 | 870* | 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 | 400 | 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 | 362 | 2018 |
| -space deep learning for accelerated MRI Y Han, L Sunwoo, JC Ye IEEE transactions on medical imaging 39 (2), 377-386, 2019 | 361 | 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 | 66 | 2020 |
| AIM 2020 challenge on real image super-resolution: Methods and results P Wei, H Lu, R Timofte, L Lin, W Zuo, Z Pan, B Li, T Xi, Y Fan, G Zhang, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 47 | 2020 |
| 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 | 43 | 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 | 38 | 2021 |
| 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 | 28 | 2019 |
| Deep learning interior tomography for region-of-interest reconstruction Y Han, J Gu, JC Ye 2018 The 5th International Conference on Image Formation in X-Ray Computed …, 2017 | 27 | 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 | 27 | 2015 |
| 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 | 24 | 2020 |
| 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 | 22 | 2020 |
| 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 | 17 | 2016 |
| End-to-end deep learning for interior tomography with low-dose x-ray CT Y Han, D Wu, K Kim, Q Li Physics in Medicine & Biology 67 (11), 115001, 2022 | 16 | 2022 |
| Deep learning reconstruction for 9-view dual energy CT baggage scanner Y Han, J Kang, JC Ye 2018 The 5th International Conference on Image Formation in X-Ray Computed …, 2018 | 16 | 2018 |
| Method for processing interior computed tomography image using artificial neural network and apparatus therefor YE JongChul, HAN YoSeob US Patent App. 16/431,608, 2019 | 15 | 2019 |
| Deep residual learning approach for sparse-view CT reconstruction Y Han, JC Ye Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2017 | 12 | 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 | 12 | 2016 |
Jong Chul YeProfessor, Chung Moon Soul Mirae Endowed Chair, KAISTkaist.ac.kr의 이메일 확인됨
