| High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains D Lee, S Choi, HJ Kim Medical physics 46 (1), 104-115, 0 | 60* | |
| Performance evaluation of image denoising developed using convolutional denoising autoencoders in chest radiography D Lee, S Choi, HJ Kim Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2018 | 52 | 2018 |
| Image denoising with conditional generative adversarial networks (CGAN) in low dose chest images HJ Kim, D Lee Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2020 | 33 | 2020 |
| Restoration of full data from sparse data in low-dose chest digital tomosynthesis using deep convolutional neural networks D Lee, HJ Kim Journal of Digital Imaging 32 (3), 489-498, 2019 | 19 | 2019 |
| Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure D Lee, H Kim, B Choi, HJ Kim Physics in Medicine & Biology 64 (11), 115017, 2019 | 18 | 2019 |
| Integrating Climate Prediction and Regionalization into an Agro-economic Model to Guide Agricultural Planning Y Zhang, L You, D Lee, PJ Block AGUFM 2018, H23Q-2200, 2018 | 13 | 2018 |
| Development of a non-linear dual-energy technique in chest radiography M Lee, D Lee, H Kim, S Choi, D Kim, HJ Kim Radiation Physics and Chemistry, 108811, 2020 | 10 | 2020 |
| Evaluation of photon-counting spectral mammography for classification of breast microcalcifications H Kim, M Lee, D Kim, D Lee, HJ Kim Radiation Physics and Chemistry 162, 39-47, 2019 | 10 | 2019 |
| Development of a prototype chest digital tomosynthesis (CDT) R/F system with fast image reconstruction using graphics processing unit (GPU) programming S Choi, S Lee, H Lee, D Lee, S Choi, J Shin, CW Seo, HJ Kim Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2017 | 9 | 2017 |
| Seq2Morph: a deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy D Lee, S Alam, J Jiang, L Cervino, YC Hu, P Zhang Medical Physics, 2022 | 8 | 2022 |
| Quantitative evaluation of anatomical noise in chest digital tomosynthesis, digital radiography, and computed tomography D Lee, S Choi, H Lee, D Kim, HJ Kim Journal of Instrumentation 12 (04), T04006, 2017 | 8 | 2017 |
| Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer D Lee, Y Hu, L Kuo, S Alam, E Yorke, A Li, A Rimner, P Zhang Radiotherapy and Oncology 169, 57-63, 2022 | 7 | 2022 |
| Development of a chest digital tomosynthesis R/F system and implementation of low‐dose GPU‐accelerated compressed sensing (CS) image reconstruction S Choi, H Lee, D Lee, S Choi, CL Lee, W Kwon, J Shin, CW Seo, HJ Kim Medical physics 45 (5), 1871-1888, 2018 | 7 | 2018 |
| A feasibility study for anatomical noise reduction in dual-energy chest digital tomosynthesis D Lee, Y Kim, S Choi, H Lee, HJ Kim Journal of Instrumentation 11 (01), P01016, 2016 | 7 | 2016 |
| Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy D Lee, SR Alam, J Jiang, P Zhang, S Nadeem, YC Hu Medical Physics 48 (9), 4784-4798, 2021 | 5 | 2021 |
| Predictive dose accumulation for HN adaptive radiotherapy D Lee, P Zhang, S Nadeem, S Alam, J Jiang, A Caringi, N Allgood, ... Physics in Medicine & Biology 65 (23), 235011, 2020 | 5 | 2020 |
| Improvement of material decomposition and image quality in dual-energy radiography by reducing image noise D Lee, Y Kim, S Choi, H Lee, BD Jo, PH Jeon, H Kim, D Kim, HJ Kim Journal of Instrumentation 11 (08), T08003, 2016 | 5 | 2016 |
| Characterizing X-ray detectors for prototype digital breast tomosynthesis systems YS Kim, HS Park, SJ Park, S Choi, H Lee, D Lee, YW Choi, HJ Kim Journal of Instrumentation 11 (03), P03022, 2016 | 5 | 2016 |
| Feasibility study of shutter scan acquisition for region of interest (ROI) digital tomosynthesis D Kim, B Jo, D Lee, H Lee, S Choi, H Kim, Z Chao, S Choi, HJ Kim Journal of applied clinical medical physics 19 (3), 301-309, 2018 | 4 | 2018 |
| Deep learning-based computed tomographic image super-resolution via wavelet embedding H Kim, H Lee, D Lee Radiation Physics and Chemistry, 110718, 2022 | 3 | 2022 |
