| Removal of fine particulate matter (PM2. 5) via atmospheric humidity caused by evapotranspiration J Ryu, JJ Kim, H Byeon, T Go, SJ Lee Environmental pollution 245, 253-259, 2019 | 73 | 2019 |
| Machine learning‐based in‐line holographic sensing of unstained malaria‐infected red blood cells T Go, JH Kim, H Byeon, SJ Lee Journal of biophotonics 11 (9), e201800101, 2018 | 65 | 2018 |
| Label-free sensor for automatic identification of erythrocytes using digital in-line holographic microscopy and machine learning T Go, H Byeon, SJ Lee Biosensors and Bioelectronics 103, 12-18, 2018 | 37 | 2018 |
| Focusing and alignment of erythrocytes in a viscoelastic medium T Go, H Byeon, SJ Lee Scientific reports 7 (1), 41162, 2017 | 37 | 2017 |
| Deep learning-based digital in-line holographic microscopy for high resolution with extended field of view H Byeon, T Go, SJ Lee Optics & Laser Technology 113, 77-86, 2019 | 36 | 2019 |
| Deep learning-based hologram generation using a white light source T Go, S Lee, D You, SJ Lee Scientific reports 10 (1), 8977, 2020 | 26 | 2020 |
| Deep learning-based accurate and rapid tracking of 3D positional information of microparticles using digital holographic microscopy SJ Lee, GY Yoon, T Go Experiments in fluids 60, 1-10, 2019 | 21 | 2019 |
| Three-dimensional swimming motility of microorganism in the near-wall region SJ Lee, T Go, H Byeon Experiments in Fluids 57, 1-10, 2016 | 17 | 2016 |
| Precise measurement of orientations of transparent ellipsoidal particles through digital holographic microscopy H Byeon, T Go, SJ Lee Optics Express 24 (1), 598-610, 2016 | 17 | 2016 |
| Volumetric monitoring of airborne particulate matter concentration using smartphone-based digital holographic microscopy and deep learning J Kim, T Go, SJ Lee Journal of Hazardous Materials 418, 126351, 2021 | 16 | 2021 |
| Digital stereo-holographic microscopy for studying three-dimensional particle dynamics H Byeon, T Go, SJ Lee Optics and Lasers in Engineering 105, 6-13, 2018 | 16 | 2018 |
| Three-dimensional volumetric monitoring of settling particulate matters on a leaf using digital in-line holographic microscopy T Go, J Kim, SJ Lee Journal of Hazardous Materials 404, 124116, 2021 | 14 | 2021 |
| Accurate real-time monitoring of high particulate matter concentration based on holographic speckles and deep learning J Kim, T Go, SJ Lee Journal of Hazardous Materials 409, 124637, 2021 | 12 | 2021 |
| Air spreading through wetted cellulose membranes: Implications for the safety function of hydraulic valves in plants JY Park, T Go, J Ryu, SJ Lee Physical Review E 100 (3), 032409, 2019 | 11 | 2019 |
| Learning-based automatic sensing and size classification of microparticles using smartphone holographic microscopy T Go, GY Yoon, SJ Lee Analyst 144 (5), 1751-1760, 2019 | 10 | 2019 |
| Label-free sensing and classification of old stored blood JH Park, T Go, SJ Lee Annals of Biomedical Engineering 45, 2563-2573, 2017 | 9 | 2017 |
| Accelerated settling velocity of airborne particulate matter on hairy plant leaves J Kim, J Kim, Y Kim, T Go, SJ Lee Journal of Environmental Management 332, 117313, 2023 | 4 | 2023 |
| Development of a portable system for monitoring indoor particulate matter concentration YJ Kim, HS Choi, T Go Journal of the Korean Society of Visualization 20 (1), 45-51, 2022 | 1 | 2022 |
| Deep learning-based enhancement of digital holographic particle tracking velocimetry T Go, SJ Lee 13th International Symposium on Particle Image Velocimetry—ISPIV, 2019 | 1 | 2019 |
| Particulate matter monitoring using smartphone-based digital holographic microscopy and deep learning J Kim, T Go, SJ Lee 대한기계학회 춘추학술대회, 61-62, 2021 | | 2021 |
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