Showing results 1 to 5 of 5
Deep-Learning-Based Label-Free Segmentation of Cell Nuclei in Time-Lapse Refractive Index Tomograms Lee, Jimin; Kim, Hyejin; Cho, Hyungjoo; Jo, Youngju; Song, Yujin; Ahn, Daewoong; Lee, Kangwon; et al, IEEE ACCESS, v.7, pp.83449 - 83460, 2019-07 |
DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning Ryu, DongHun; Ryu, Dongmin; Baek, YoonSeok; Cho, Hyungjoo; Kim, Geon; Kim, Young Seo; Lee, Yongki; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.5, pp.1508 - 1518, 2021-05 |
Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning Jo, YoungJu; Cho, Hyungjoo; Park, Wei Sun; Kim, Geon; Ryu, DongHun; Kim, Young Seo; Lee, Moosung; et al, NATURE CELL BIOLOGY, v.23, no.12, pp.1329 - 1337, 2021-12 |
Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells Kim, Geon; Jo, YoungJu; Cho, Hyungjoo; Min, Hyun-seok; Park, YongKeun, BIOSENSORS AND BIOELECTRONICS, v.123, pp.69 - 76, 2019-01 |
Quantitative Phase Imaging and Artificial Intelligence: A Review Jo, YoungJu; Cho, Hyungjoo; Lee, Sang Yun; Choi, Gunho; Kim, Geon; Min, Hyun-seok; Park, YongKeun, IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, v.25, no.1, pp.6800914, 2019-01 |
Discover