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Soo-Jin Lee
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2020 – today
- 2023
- [j12]Soo-Jin Lee, Chuluong Choi, Jinsoo Kim, Minha Choi, Jaeil Cho, Yang-Won Lee:
Estimation of High-Resolution Soil Moisture in Canadian Croplands Using Deep Neural Network with Sentinel-1 and Sentinel-2 Images. Remote. Sens. 15(16): 4063 (2023) - [j11]Soo-Jin Lee, Eunha Sohn, Mija Kim, Ki-Hong Park, Kyungwon Park, Yang-Won Lee:
Real-Time Retrieval of Daily Soil Moisture Using IMERG and GK2A Satellite Images with NWP and Topographic Data: A Machine Learning Approach for South Korea. Remote. Sens. 15(17): 4168 (2023) - [j10]Wen Zhu, Soo-Jin Lee:
Similarity-Driven Fine-Tuning Methods for Regularization Parameter Optimization in PET Image Reconstruction. Sensors 23(13): 5783 (2023) - 2021
- [j9]Soo-Jin Lee, Nari Kim, Yang-Won Lee:
Development of Integrated Crop Drought Index by Combining Rainfall, Land Surface Temperature, Evapotranspiration, Soil Moisture, and Vegetation Index for Agricultural Drought Monitoring. Remote. Sens. 13(9): 1778 (2021) - 2020
- [j8]Ji Eun Jung, Soo-Jin Lee:
Penalized-Likelihood Image Reconstruction for Transmission Computed Tomography Using Adaptive Median Regularization. IEEE Access 8: 189490-189502 (2020)
2010 – 2019
- 2019
- [j7]Xue Ren, Soo-Jin Lee:
Image reconstruction for emission tomography using intensity normalised patch-based regularisation. IET Image Process. 13(5): 794-803 (2019) - 2017
- [c4]Xue Ren, Soo-Jin Lee:
High-Resolution Image Reconstruction for PET Using Local and Non-local Regularizations. Computational Imaging 2017: 174-178 - [c3]Ji-Eun Jung, Soo-Jin Lee:
Space-Variant Smoothing in Median-Regularized Reconstruction for Transmission Tomography. Computational Imaging 2017: 191-195 - 2016
- [j6]Van-Giang Nguyen, Soo-Jin Lee:
GPU-accelerated iterative reconstruction from Compton scattered data using a matched pair of conic projector and backprojector. Comput. Methods Programs Biomed. 131: 27-36 (2016) - 2013
- [j5]Van-Giang Nguyen, Soo-Jin Lee:
Incorporating Anatomical Side Information Into PET Reconstruction Using Nonlocal Regularization. IEEE Trans. Image Process. 22(10): 3961-3973 (2013)
2000 – 2009
- 2008
- [c2]Chandra Hawley Orrill, Susan Sexton, Soo-Jin Lee, Cheryl Gerde:
Mathematics teachers' abilities to use and make sense of drawn representations. ICLS (2) 2008: 140-147 - 2006
- [c1]Soo-Jin Lee:
A block-iterative deterministic annealing algorithm for Bayesian tomographic reconstruction. Computational Imaging 2006: 606517 - 2003
- [j4]Soo-Jin Lee:
Ordered subsets Bayesian tomographic reconstruction using 2-D smoothing splines as priors. Comput. Methods Programs Biomed. 72(1): 27-42 (2003) - [j3]Soo-Jin Lee:
Spline-regularized ordered subsets expectation-maximization algorithms for emission computed tomography. J. Electronic Imaging 12(1): 17-24 (2003) - 2000
- [j2]Soo-Jin Lee:
Performance comparison of convex-nonquadratic priors for Bayesian tomographic reconstruction. J. Electronic Imaging 9(3): 242-250 (2000)
1990 – 1999
- 1995
- [j1]Soo-Jin Lee, Anand Rangarajan, Gene Gindi:
Bayesian image reconstruction in SPECT using higher order mechanical models as priors. IEEE Trans. Medical Imaging 14(4): 669-680 (1995)
Coauthor Index
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