Geon Kim

发表

Measurements of three-dimensional refractive index tomography and membrane deformability of live erythrocytes from Pelophylax nigromaculatus

YongKeun Park, Geon Kim, Moosung Lee, 2017, Scientific Reports.

Time-multiplexed structured illumination using a DMD for optical diffraction tomography.

YongKeun Park, Kyoohyun Kim, KyeoReh Lee, 2017, Optics letters.

Label-free non-invasive quantitative measurement of lipid contents in individual microalgal cells using refractive index tomography

YongKeun Park, Geon Kim, Moosung Lee, 2017 .

Measurements of three-dimensional refractive index tomography and membrane deformability of live erythrocytes from Pelophylax nigromaculatus

Yongkeun Park, Sangyun Lee, Moosung Lee, 2017, bioRxiv.

Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells.

YongKeun Park, YoungJu Jo, Geon Kim, 2019, Biosensors & bioelectronics.

Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells

Yongkeun Park, Hyungjoon Cho, YoungJu Jo, 2018, bioRxiv.

Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network

Minhee Kang, D. Chung, N. Lee, 2022, Light: Science & Applications.

Long-term label-free assessments of individual bacteria using three-dimensional quantitative phase imaging and hydrogel-based immobilization

Yongkeun Park, Moosung Lee, Geon Kim, 2022, bioRxiv.

Three-dimensional refractive index distributions of individual angiosperm pollen grains

Yongkeun Park, Sangyun Lee, Geon Kim, 2018, bioRxiv.

1 Rapid and label-free identification of individual bacterial pathogens exploiting three-dimensional quantitative phase imaging and deep learning

Minhee Kang, D. Chung, N. Lee, 2019 .

Time-multiplexed structured illumination using a DMD for optical diffraction tomography.

Kyoohyun Kim, Yongkeun Park, KyeoReh Lee, 2016, Optics letters.

Quantitative Phase Imaging and Artificial Intelligence: A Review

Hyun-seok Min, Sang Yun Lee, YongKeun Park, 2018, IEEE Journal of Selected Topics in Quantum Electronics.

Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning

Yongkeun Park, W. Heo, YoungJu Jo, 2021, Nature Cell Biology.

Data-driven multiplexed microtomography of endogenous subcellular dynamics

YoungJu Jo, YongKeun Park, Hyungjoo Cho, 2020, bioRxiv.

Three-dimensional label-free imaging and analysis of Pinus pollen grains using optical diffraction tomography

YongKeun Park, Geon Kim, Seungwoo Shin, 2018, Scientific Reports.

3D label-free imaging and analysis of Pinus pollen grains using optical diffraction tomography

Yongkeun Park, Seungwoo Shin, Sangyun Lee, 2017, bioRxiv.

Measurements of three-dimensional refractive index tomography and membrane deformability of live erythrocytes from Pelophylax nigromaculatus

Yongkeun Park, Sangyun Lee, Moosung Lee, 2017, bioRxiv.

Three-Dimensional Label-Free Characterization of Frog Erythrocytes using Optical Diffraction Tomography

Yongkeun Park, Sangyun Lee, Moosung Lee, 2018, 2018 IEEE Photonics Conference (IPC).

Deep-learning-based three-dimensional label-free tracking and analysis of immunological synapses of CAR-T cells

YoungJu Jo, YongKeun Park, Moosung Lee, 2020, eLife.

Label-free non-invasive quantitative measurement of lipid contents in individual microalgal cells using refractive index tomography

YongKeun Park, Geon Kim, Moosung Lee, 2017, Scientific Reports.

Rapid label-free identification of pathogenic bacteria species from a minute quantity 1 exploiting three-dimensional quantitative phase imaging and artificial neural network 2

H. Chung, Yongkeun Park, Minhee Kang, 2021 .

DeepIS: deep learning framework for three-dimensional label-free tracking of immunological synapses

YoungJu Jo, YongKeun Park, Geon Kim, 2019 .

DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning

Jong Chul Ye, Yongki Lee, DongHun Ryu, 2020, IEEE Transactions on Medical Imaging.

Label-free non-invasive quantitative measurement of lipid contents in individual microalgal cells using refractive index tomography

Yongkeun Park, Seungwoo Shin, Sangyun Lee, 2017, bioRxiv.

Automated Identification of Bacteria using Three-Dimensional Holographic Imaging and Convolutional Neural Network

Beom-Soo Kim, YoungJu Jo, Hyun-seok Min, 2018, 2018 IEEE Photonics Conference (IPC).

Three-dimensional label-free imaging and analysis of Pinus pollen grains using optical diffraction tomography

Yongkeun Park, Seungwoo Shin, Sangyun Lee, 2018, Scientific Reports.

Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network

Minhee Kang, D. Chung, N. Lee, 2022, Light: Science & Applications.

Label-free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning

Eeksung Lee, Geon Kim, DongHun Ryu, 2023, bioRxiv.

Deep learning-based optical field screening for robust optical diffraction tomography

Taean Chang, DongHun Ryu, YoungJu Jo, 2019, Scientific Reports.

Deep learning-based optical field screening for robust optical diffraction tomography

Taean Chang, YoungJu Jo, Hyun-seok Min, 2019, Scientific Reports.

Deep-learning based three-dimensional label-free tracking and analysis of immunological synapses of chimeric antigen receptor T cells

YongKeun Park, YoungJu Jo, Geon Kim, 2019, bioRxiv.

Photolysis of 3-phenyl-4-phenylethynylcyclobut-3-en-trans-1, 2-dicarboxylic acid dimethyl ester in methanol

Geon Kim, S. Shim, E. Hong, 1996 .

Enhanced functionalities of immune cells separated by microfludic lattice: assessment based on holotomography

Byungyeon Kim, Geon Kim, YongKeun Park, 2023, bioRxiv.

Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography pdf

Jaeyoung Huh, Geon Kim, Jong Chul Ye, 2021, ArXiv.

Virtual biomarkers: predicting immune status using label-free holotomography of individual human monocytes and machine learning analysis

Geon Kim, Young Seo Kim, YongKeun Park, 2023, bioRxiv.

Rapid and label-free identification of individual bacterial pathogens exploiting three-dimensional quantitative phase imaging and deep learning

Nam Yong Lee, Kyuseok Kim, Hyun-seok Min, 2019, bioRxiv.

Rapid label-free identification of pathogenic bacteria species from a minute quantity 1 exploiting three-dimensional quantitative phase imaging and artificial neural network

H. Chung, Yongkeun Park, Minhee Kang, 2021 .

Artificial intelligence-enabled quantitative phase imaging methods for life sciences

Luzhe Huang, Tairan Liu, Geon Kim, 2023, Nature Methods.