Dr. Geon Kim Profile

Dr. Geon Kim

at KAIST

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Author

Publications (7)

Proceedings Article | 13 March 2024 Presentation

Label-free, three-dimensional virtual staining of histopathological slides exploiting deep learning and refractive index tomography

Juyeon Park, Su-Jin Shin, Geon Kim, YongKeun Park

Proceedings Volume PC12852, PC128520Y (2024) https://doi.org/10.1117/12.3002032

KEYWORDS: Tomography, Deep learning, Histopathology, Refractive index, Colorectal cancer, 3D image processing, Education and training, Cancer, Virtual colonoscopy, Neural networks

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Proceedings Article | 13 March 2024 Presentation

Label-free cytological characterization of blasts with NPM1 mutation using holotomography and machine learning

Hyunji Kim, Geon Kim, Mahn Jae Lee, Seongsoo Jang, YongKeun Park

Proceedings Volume PC12852, PC128520L (2024) https://doi.org/10.1117/12.3004388

KEYWORDS: Machine learning, Deep learning, Data modeling, Visualization, Stereoscopy, Receivers, Proteins, Microscopy, Leukemia, Image segmentation

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Proceedings Article | 13 March 2024 Presentation

Holotomography as a tool for identifying impaired stemness in induced pluripotent stem cells

Geon Kim, Hoewon Park, Jeongwon Shin, Ki-Jun Yoon, YongKeun Park

Proceedings Volume PC12852, PC128520P (2024) https://doi.org/10.1117/12.3008974

KEYWORDS: Stem cells, Regenerative medicine, Refractive index, Microscopy, Machine learning, Image segmentation

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Proceedings Article | 16 March 2023 Presentation

Machine-learning-based analysis of refractive index tomograms to predict the immune status of individual human monocytes (Conference Presentation)

Mahn Jae Lee, Geon Kim, Moosung Lee, Jungwon Shin, Jung Ho Lee, DongHun Ryu, Young Seo Kim, Yoonjae Chung, Kyuseok Kim, YongKeun Park

Proceedings Volume PC12389, PC123890T (2023) https://doi.org/10.1117/12.2656615

KEYWORDS: Refractive index, Phase imaging, In vitro testing, Diagnostics, 3D modeling, 3D image processing

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Proceedings Article | 16 March 2023 Presentation

Rapid identification of individual bacterial pathogens using three-dimensional quantitative phase imaging and artificial neural network (Conference Presentation)

Geon Kim, Daewoong Ahn, Minhee Kang, Jinho Park, DongHun Ryu, YoungJu Jo, Jinyeop Song, Jea Sung Ryu, Gunho Choi, Hyun Jung Chung, Kyuseok Kim, Doo Ryeon Chung, In Young Yoo, Hee Jae Huh, Hyun-seok Min, Nam Yong Lee, YongKeun Park

Proceedings Volume PC12389, PC1238908 (2023) https://doi.org/10.1117/12.2654641

KEYWORDS: Pathogens, Phase imaging, Artificial neural networks, 3D metrology, 3D image processing, Mass spectrometry, Biomedical optics, Standards development, Refractive index, Profiling

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Proceedings Article | 5 March 2021 Presentation

Solving the missing cone problem of diffraction tomography using deep learning

DongHun Ryu, Dongmin Ryu, YoonSeok Baek, Hyeongjoo Cho, Geon Kim, Young Seo Kim, Yongki Lee, Yoosik Kim, Hyun-Seok Min, Yong Keun Park

Proceedings Volume 11653, 116530G (2021) https://doi.org/10.1117/12.2584961

KEYWORDS: Tomography, Diffraction, Refractive index, Optical tomography, Visualization, Scattering, Resolution enhancement technologies, Reconstruction algorithms, Objectives, Neural networks

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Proceedings Article | 11 March 2020 Presentation

Deep learning framework enables 3D label-free tracking of immunological synapse using optical diffraction tomography (Conference Presentation)

Moosung Lee, Young-Ho Lee, Jinyeop Song, Geon Kim, YoungJu Jo, HyunSeok Min, Chan Hyuk Kim, YongKeun Park

Proceedings Volume 11249, 112490Y (2020) https://doi.org/10.1117/12.2551132

KEYWORDS: Diffraction, Optical tomography, Tomography, Optical tracking, Microscopy, 3D image processing, Stereoscopy, Image resolution, Electron microscopy, Super resolution microscopy

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Showing 5 of 7 publications

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