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Showing results 1 to 7 of 7

1
Automated Identification of Bacteria Using Three-dimensional Holographic Imaging and Convolutional Neural Network

Kim, Geon; Jo, YoungJu; Cho, Hyungjoo; Choi, Gunho; Kim, Beom-Soo; Min, Hyun-seok; Park, YongKeun, 31st Annual IEEE Photonics Conference (IPC) of the IEEE-Photonics-Society, IEEE, 2018-10

2
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

3
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

4
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, 2022 Conference on Lasers and Electro-Optics, CLEO 2022, Institute of Electrical and Electronics Engineers Inc., 2022-05

5
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

6
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

7
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

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