Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications. - KyeoReh Lee; KyooHyun Kim; Jaehwang Jung; JiHan Heo; Sang-Yeon Cho; Sangyun Lee; Gyuyoung Chang; YoungJu Jo; Hyunjoo Park; YongKeun Park (Sensors, 2013)

Quantitative Phase Imaging and Artificial Intelligence: A Review. - YoungJu Jo; Hyungjoo Cho; Sangyun Lee; Gunho Choi; Geon Kim; Hyunseok Min; YongKeun Park (CoRR, 2018)

Deep-Learning-Based Label-Free Segmentation of Cell Nuclei in Time-Lapse Refractive Index Tomograms. - Jimin Lee; Hyejin Kim; Hyungjoo Cho; YoungJu Jo; Yujin Song; Daewoong Ahn; Kangwon Lee; YongKeun Park; Sung-Joon Ye (IEEE Access, 2019)

Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity. - YoonSeok Baek; KyeoReh Lee; Jeonghun Oh; YongKeun Park (Sensors, 2020)

Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography. - Hyungjin Chung; Jaeyoung Huh; Geon Kim; YongKeun Park; Jong Chul Ye (CoRR, 2021)

Roadmap on Digital Holography-Based Quantitative Phase Imaging. - Vinoth Balasubramani; Malgorzata Kujawinska; Cédric Allier; Vijayakumar Anand; Chau-Jern Cheng; Christian D. Depeursinge; Nathaniel Hai; Saulius Juodkazis; Jeroen Kalkman; Arkadiusz Kus; Moosung Lee; Pierre J. Magistretti; et al. (J. Imaging, 2021)

Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain. - Hyungjin Chung; Jaeyoung Huh; Geon Kim; YongKeun Park; Jong Chul Ye (IEEE Trans. Computational Imaging, 2021)

DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning. - DongHun Ryu; Dongmin Ryu; YoonSeok Baek; Hyungjoo Cho; Geon Kim; Young Seo Kim; Yongki Lee; Yoosik Kim; Jong Chul Ye; Hyunseok Min; YongKeun Park (IEEE Trans. Medical Imaging, 2021)