| Cycle-consistent deep learning approach to coherent noise reduction in optical diffraction tomography G Choi*, DH Ryu*, YJ Jo, YS Kim, W Park, H Min, YK Park Optics express 27 (4), 4927-4943, 2019 | 69 | 2019 |
| Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning YJ Jo, H Cho, WS Park, G Kim, DH Ryu, YS Kim, M Lee, S Park, MJ Lee, ... Nature Cell Biology 23 (12), 1329-1337, 2021 | 63 | 2021 |
| Label-free white blood cell classification using refractive index tomography and deep learning DH Ryu, J Kim, L Daejin, H Min, IY Yoo, C Duck, YK Park BME frontiers, 2021 | 36 | 2021 |
| Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network G Kim, D Ahn, M Kang, J Park, DH Ryu, YJ Jo, J Song, JS Ryu, G Choi, ... Light: Science & Applications 11 (1), 190, 2022 | 35 | 2022 |
| Artificial intelligence-enabled quantitative phase imaging methods for life sciences J Park, B Bai, DH Ryu, T Liu, C Lee, Y Luo, MJ Lee, L Huang, J Shin, ... Nature Methods 20 (11), 1645-1660, 2023 | 32 | 2023 |
| DeepRegularizer: rapid resolution enhancement of tomographic imaging using deep learning DH Ryu, D Ryu, YS Baek, H Cho, G Kim, YS Kim, Y Lee, Y Kim, JC Ye, ... IEEE Transactions on Medical Imaging 40 (5), 1508-1518, 2021 | 26 | 2021 |
| Deep learning-based optical field screening for robust optical diffraction tomography DH Ryu, YJ Jo, J Yoo, T Chang, D Ahn, YS Kim, G Kim, HS Min, YK Park Scientific reports 9 (1), 15239, 2019 | 24 | 2019 |
| Subsampled phase retrieval for temporal resolution enhancement in lensless on-chip holographic video DH Ryu, Z Wang, K He, G Zheng, R Horstmeyer, O Cossairt Biomedical Optics Express 8 (3), 1981-1995, 2017 | 23 | 2017 |
| Interactions of nanoparticles with macrophages and feasibility of drug delivery for asthma SH Kang, YS Shin, DH Lee, IS Park, SK Kim, DH Ryu, YK Park, SH Byun, ... International Journal of Molecular Sciences 23 (3), 1622, 2022 | 22 | 2022 |
| Calibration-free quantitative phase imaging using data-driven aberration modeling T Chang*, DH Ryu*, YJ Jo, G Choi, HS Min, YK Park Optics Express 28 (23), 34835-34847, 2020 | 19 | 2020 |
| Rapid and label-free identification of individual bacterial pathogens exploiting three-dimensional quantitative phase imaging and deep learning G Kim, D Ahn, M Kang, Y Jo, D Ryu, H Kim, J Song, JS Ryu, G Choi, ... BioRxiv, 2019 | 16 | 2019 |
| Data-driven multiplexed microtomography of endogenous subcellular dynamics YJ Jo, H Cho, WS Park, G Kim, D Ryu, YS Kim, M Lee, H Joo, HH Jo, ... BioRxiv, 2020.09. 16.300392, 2020 | 9 | 2020 |
| Dictionary-based phase retrieval for space-time super resolution using lens-free on-chip holographic video Z Wang, Q Dai, D Ryu, K He, R Horstmeyer, AK Katsaggelos, O Cossairt Computational Optical Sensing and Imaging, CTu2B. 3, 2017 | 7 | 2017 |
| Label-free 3-D quantitative phase imaging cytometry with deep learning: identifying naive, memory, and senescent T cells DH Ryu, K Kim, H Cho, K Dao, YS Kim, D Ahn, HS Min, EC Shin, YK Park The Journal of Immunology 204 (1_Supplement), 86.5-86.5, 2020 | 5 | 2020 |
| Label‐free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning Y Chung, G Kim, AR Moon, DH Ryu, H Hugonnet, MJ Lee, DS Shin, ... Journal of Biophotonics 16 (8), e202300067, 2023 | 4 | 2023 |
| Method and apparatus for rapid diagnosis of hematologic malignancy using 3D quantitative phase imaging and deep learning P YongKeun, RYU Donghun, YS Kim, K Hong, H Min US Patent 11,410,304, 2022 | 4 | 2022 |
| Reagent-and actuator-free analysis of individual erythrocytes using three-dimensional quantitative phase imaging and capillary microfluidics DH Ryu, H Nam, JS Jeon, YK Park Sensors and Actuators B: Chemical 348, 130689, 2021 | 4 | 2021 |
| Label-free bone marrow white blood cell classification using refractive index tomograms and deep learning DH Ryu, J Kim, D Lim, HS Min, I You, D Cho, YK Park bioRxiv, 2020.11. 13.381244, 2020 | 4 | 2020 |
| Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution YK Lee, D Ryu, S Kim, J Park, SY Park, DH Ryu, H Lee, S Lim, HS Min, ... Scientific Reports 13 (1), 9847, 2023 | 3 | 2023 |
| Deep learning-enabled image quality control in tomographic reconstruction: Robust optical diffraction tomography D Ryu, Y Jo, J Yoo, T Chang, D Ahn, YS Kim, G Kim, H Min, Y Park arXiv preprint arXiv:1903.02097, 2019 | 2 | 2019 |
